{"id":60544,"date":"2024-09-30T11:12:23","date_gmt":"2024-09-30T11:12:23","guid":{"rendered":"https:\/\/biomedpharmajournal.org\/?p=60544"},"modified":"2024-10-09T18:14:38","modified_gmt":"2024-10-09T18:14:38","slug":"exploring-diabetes-research-trends-in-india-a-comprehensive-bibliometric-analysis-using-vosviewer","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol17no3\/exploring-diabetes-research-trends-in-india-a-comprehensive-bibliometric-analysis-using-vosviewer\/","title":{"rendered":"Exploring Diabetes Research Trends in India: A Comprehensive Bibliometric Analysis Using VOSviewer"},"content":{"rendered":"\n

Introduction<\/strong><\/p>\n\n\n\n

Diabetes\nmellitus, a chronic metabolic disorder characterized by elevated blood glucose\nlevels, represents a significant public health challenge worldwide. In India,\nthe prevalence of diabetes has reached alarming levels, making it one of the leading\ncauses of morbidity and mortality in the country. Understanding the landscape\nof diabetes research in India is crucial for informing healthcare policies,\nguiding research priorities, and developing effective interventions to combat\nthis growing epidemic1<\/sup>.<\/p>\n\n\n\n

This\nbibliometric analysis aims to provide a comprehensive overview of diabetes\nresearch in India, utilizing advanced visualization techniques with VOSviewer\nsoftware. By systematically mapping the scientific literature, this study seeks\nto identify key research themes, influential publications, collaboration\nnetworks, and emerging trends in diabetes research within the Indian context.<\/p>\n\n\n\n

Previous\nbibliometric studies on diabetes research have predominantly focused on global\ntrends or specific aspects of the disease, such as treatment modalities or risk\nfactors. However, to the best of our knowledge, there has been limited research\nspecifically examining the diabetes research landscape in India using\nbibliometric analysis. Therefore, this study fills a crucial gap in the\nliterature by offering insights into the quantity, quality, and impact of\ndiabetes-related research conducted by Indian scholars and institutions2<\/sup>.<\/p>\n\n\n\n

Furthermore, the\nfindings of this study have practical implications for various stakeholders\ninvolved in diabetes prevention, management, and policy formulation. By\nidentifying research gaps, hotspots, and areas of collaboration, policymakers\ncan prioritize funding for targeted research initiatives, healthcare providers\ncan tailor interventions to address specific needs, and researchers can\nidentify potential collaborators and interdisciplinary opportunities to advance\ndiabetes research in India3<\/sup>. Overall, this study contributes to the\nongoing efforts to combat diabetes and improve health outcomes for millions of\nindividuals affected by this debilitating condition in India and beyond.<\/p>\n\n\n\n

Methods<\/strong><\/p>\n\n\n\n

The database was\nsystematically scanned for global literature on “Diabetes” and\n“India” published between 2014 and 2023. The search utilized keywords\n“Diabetes” or “India” within the title to identify closely\nmatching publications. The retrieved information for qualifying documents\nincluded title, abstract, source title, publication year, volume, issue, pagination,\nauthors, authors affiliations, country of research organization, citations, cited\nreferences, which were exported into CSV format4-5<\/sup>. Data retrieval\nwas conducted on March 17, 2024. VOSviewer version 1.6.20 for Microsoft Windows\nsystems was employed to analyze various bibliometric parameters such as citation,\nco-authorship, bibliographic coupling and co-citation. Two standard weight\nattributes, namely “Links attribute” and ” Total link strength (TLS)\nattribute,” were utilized6-7<\/sup>.<\/p>\n\n\n\n

Results<\/strong><\/p>\n\n\n\n

BA of publication output<\/strong><\/p>\n\n\n\n

Between 2014 and 2023, a total of 498,138 (Figure\n1) publications related to Diabetes and India were identified in the Dimensions\ndatabase which included 343453 (68.94) were articles both research and review,\n95309 (19.13) were chapters, 25573 (5.13) were Edited Books, 13761 (2.76) were\npreprints, 10280 (2.06) were monographs and 9762 (1.95) were conference\nproceedings (Table 1).  Out of 498138,\n76424 (15.34) were published in 2023, 76239 (15.30) in 2022, 73367 (14.72) in 2021, 57221\n(11.48) in 2020, 43023 (8.63) in 2019, 45357 (9.10) in 2018, 34941 (7.01) in\n2017, 32650 (6.55) in 2016, 27232 (5.46) in 2015 and 31684 (6.36) in 2014\n(Table 2). In all the published papers, 214475 are indexed in PubMed. 3581 and\n280642 are indexed in UGC Journal Lit Group I and II respectively (Table 3).<\/p>\n\n\n\n

Table 1: ResearchType, number and % of publications<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
\n

Research Type<\/strong><\/p>\n<\/td>\n

\n

No. of Publications<\/strong><\/p>\n<\/td>\n

\n

% of Publications<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Articles<\/p>\n<\/td>\n

\n

343453<\/p>\n<\/td>\n

\n

68.94<\/p>\n<\/td>\n<\/tr>\n

\n

Chapters<\/p>\n<\/td>\n

\n

95309<\/p>\n<\/td>\n

\n

19.13<\/p>\n<\/td>\n<\/tr>\n

\n

Edited Books<\/p>\n<\/td>\n

\n

25573<\/p>\n<\/td>\n

\n

5.13<\/p>\n<\/td>\n<\/tr>\n

\n

Preprints<\/p>\n<\/td>\n

\n

13761<\/p>\n<\/td>\n

\n

2.76<\/p>\n<\/td>\n<\/tr>\n

\n

Monographs<\/p>\n<\/td>\n

\n

10280<\/p>\n<\/td>\n

\n

2.06<\/p>\n<\/td>\n<\/tr>\n

\n

Conference proceedings<\/p>\n<\/td>\n

\n

9762<\/p>\n<\/td>\n

\n

1.95<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Table 2: Year, Number and % of Publications<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n
\n

Year<\/strong><\/p>\n<\/td>\n

\n

No. of Publications<\/strong><\/p>\n<\/td>\n

\n

% of Publications<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

2023<\/p>\n<\/td>\n

\n

76424<\/p>\n<\/td>\n

\n

15.34<\/p>\n<\/td>\n<\/tr>\n

\n

2022<\/p>\n<\/td>\n

\n

76239<\/p>\n<\/td>\n

\n

15.30<\/p>\n<\/td>\n<\/tr>\n

\n

2021<\/p>\n<\/td>\n

\n

73367<\/p>\n<\/td>\n

\n

14.72<\/p>\n<\/td>\n<\/tr>\n

\n

2020<\/p>\n<\/td>\n

\n

57221<\/p>\n<\/td>\n

\n

11.48<\/p>\n<\/td>\n<\/tr>\n

\n

2019<\/p>\n<\/td>\n

\n

43023<\/p>\n<\/td>\n

\n

8.63<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/td>\n\n

Figure 1: Graphical presentation of year and number of publications<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Table 3: Index and Number of Publications<\/strong><\/p>\n\n\n\n\n\n\n\n\n
\n

Index<\/strong><\/p>\n<\/td>\n

\n

No. of Publications<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

PubMed<\/p>\n<\/td>\n

\n

214475<\/p>\n<\/td>\n<\/tr>\n

\n

UGC Journal Lit Group I<\/p>\n<\/td>\n

\n

3581<\/p>\n<\/td>\n<\/tr>\n

\n

UGC Journal Lit Group II<\/p>\n<\/td>\n

\n

280642<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

BA of the keywords<\/strong><\/p>\n\n\n\n

In the BA of keywords, a total of 49,201\nkeywords were extracted from the papers. Among them, 1,706 keywords met the\nthreshold of occurring more than 10 times in the Dimensions database and were\nincluded in the final analysis. The most frequently occurring keywords were\n“rat” with a TLS of 397, followed by “Streptozotocin” with\na TLS of 361, and “diabetic rat” with a TLS of 327. It was indicated\nthat \u201cDiabetes\u201d and \u201cIndia\u201d was most frequently followed by \u201crat,\nstreptozotocin and diabetic rat (Figure 2). <\/p>\n\n\n\n\n\n
\"\"<\/td>\n\n

Figure 2: Bibliometric Assessment of Keywords in Publications on Diabetes and India<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Bibliometric Examination of Citations and Publications<\/strong><\/p>\n\n\n\n

Table 4\npresents the top 10 most cited articles in the field of Diabetes. The majority\nof these articles encompass clinical studies, including descriptive studies,\ncase series, and case reports, with the remainder being research articles. The\nemergence of COVID-19 associated mucormycosis: A review of cases from 18\ncountries. Published in The Lancet Microbe in 2022, with the main author\naffiliated with Austria. This article has received 271 citations. A Novel\nDiabetes Healthcare Disease Prediction Framework Using Machine Learning\nTechniques. Published in the Journal of Healthcare Engineering in 2022, with\nthe main author affiliated with Ethiopia. This article has received 120\ncitations. Prevalence of chronic kidney disease in Asia: A systematic review\nand analysis. Published in BMJ Global Health in 2022, with the main author\naffiliated with Australia. This article has received 76 citations. Diabetes\nmortality and trends before 25 years of age: An analysis of the Global Burden\nof Disease Study 2019. Published in The Lancet Diabetes & Endocrinology in\n2022, with the main author affiliated with China. This article has received 72\ncitations. Estimates, trends, and drivers of the global burden of type 2\ndiabetes attributable to PM2.5 air pollution, 1990\u20132019: An analysis of data\nfrom the Global Burden of Disease Study 2019. Published in The Lancet Planetary\nHealth in 2022, with the main author affiliated with the United States. This\narticle has received 68 citations.The highest cited paper, published in 2022 in\nThe Lancet Microbe Journal, was authored by an Austrian researcher.<\/p>\n\n\n\n

Table 4: The top 10 most cited articles in the field of \u201cDiabetes\u201d and \u201cIndia\u201d<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Title<\/strong><\/p>\n<\/td>\n

\n

Journal<\/strong><\/p>\n<\/td>\n

\n

Publication Year<\/strong><\/p>\n<\/td>\n

\n

Main author Affiliation<\/strong><\/p>\n<\/td>\n

\n

Citations<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

The emergence of COVID-19 associated mucormycosis: A review of cases from 18 countries<\/p>\n<\/td>\n

\n

The Lancet Microbe<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

Austria<\/p>\n<\/td>\n

\n

271<\/p>\n<\/td>\n<\/tr>\n

\n

A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques<\/p>\n<\/td>\n

\n

Journal of Healthcare Engineering<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

Ethiopia<\/p>\n<\/td>\n

\n

120<\/p>\n<\/td>\n<\/tr>\n

\n

Prevalence of chronic kidney disease in Asia: A systematic review and analysis<\/p>\n<\/td>\n

\n

BMJ Global Health<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

Australia<\/p>\n<\/td>\n

\n

76<\/p>\n<\/td>\n<\/tr>\n

\n

Diabetes mortality and trends before 25 years of age: An analysis of the Global Burden of Disease Study 2019<\/p>\n<\/td>\n

\n

The Lancet Diabetes & Endocrinology<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

China<\/p>\n<\/td>\n

\n

72<\/p>\n<\/td>\n<\/tr>\n

\n

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2\u00c2\u00b75 air pollution, 1990\u00e2\u20ac\u201c2019: An analysis of data from the Global Burden of Disease Study 2019<\/p>\n<\/td>\n

\n

The Lancet Planetary Health<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

United States<\/p>\n<\/td>\n

\n

68<\/p>\n<\/td>\n<\/tr>\n

\n

Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations<\/p>\n<\/td>\n

\n

Nature Reviews Endocrinology<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

Canada<\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n<\/tr>\n

\n

Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17)<\/p>\n<\/td>\n

\n

The Lancet Diabetes & Endocrinology<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

India<\/p>\n<\/td>\n

\n

63<\/p>\n<\/td>\n<\/tr>\n

\n

Prevalence, Awareness, Treatment and Control of Diabetes in India From the Countrywide National NCD Monitoring Survey<\/p>\n<\/td>\n

\n

Frontiers in Public Health<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

India<\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n<\/tr>\n

\n

Multimorbidity of non-communicable diseases in low-income and middle-income countries: A systematic review and meta-analysis<\/p>\n<\/td>\n

\n

BMJ Open<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

Belgium<\/p>\n<\/td>\n

\n

61<\/p>\n<\/td>\n<\/tr>\n

\n

An updated practical guideline on use of molnupiravir and comparison with agents having emergency use authorization for treatment of COVID-19<\/p>\n<\/td>\n

\n

Diabetes & Metabolic Syndrome Clinical Research & Reviews<\/p>\n<\/td>\n

\n

2022<\/p>\n<\/td>\n

\n

India<\/p>\n<\/td>\n

\n

52<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

BA of the citations and authors<\/strong><\/p>\n\n\n\n

The results of the analysis involving 12,563 authors are displayed in\ntable 5 and figure 3. The total strength of citation links with other authors\nwas computed, and the top 30 authors with the highest TLS were identified.\nAmong these authors, Chakrabarti, Arunaloke stands out with a TLS of 42,\nderived from 22 links across 4 documents.<\/p>\n\n\n\n\n\n
\"\"<\/td>\n\n

Figure 3: BA of the citations of authors<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

BA of the citations and organizations<\/strong><\/p>\n\n\n\n

Table 5 and Figure 4 showcase the analysis conducted on 4,464 organizations. The total strength of citation links with organizations was computed, leading to the identification of the top 30 organizations with the highest TLS. Notably, among these organizations, the All India Institute of Medical Sciences stands out with a TLS of 286, stemming from 29 links across 322 documents.<\/p>\n\n\n\n\n\n
\"\"<\/td>\n\n

Figure 4: BA of the citations of organizations<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

BA of the citations and countries<\/strong><\/p>\n\n\n\n

Table 5 and Figure 5 present the\nanalysis conducted on 95 countries. The total strength of citation links\nbetween countries was computed, leading to the identification of the top 30\ncountries with the highest TLS. Notably, among these countries, India emerges\nwith a TLS of 1,131, derived from 29 links across 1,939 documents.<\/p>\n\n\n\n\n\n
\"\"<\/td>\n\n

Figure 5: BA of the citations of countries<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Chakrabarti, Arunaloke has\nauthored 4 publications with a total of 291 citations and a TLS (Total Link\nStrength) of 42. Chattopadhyay, Kaushik, with 8 publications, Chattopadhyay has\nreceived 29 citations and has a TLS of 34. Kinra, Sanjay has 9 publications, 25\ncitations, and a TLS of 32. Prabhakaran, Dorairaj has the highest number of\npublications at 28, with 70 citations and a TLS of 29. Hoenigl, Martin has 2\npublications, but a high number of citations at 293, with a TLS of 26 (Table 5).<\/p>\n\n\n\n

All India Institute of Medical\nSciences has the highest number of publications at 322, has 874 citations and a\nTLS of 286. Post Graduate Institute of Medical Education and Research with 101\npublications, this institute has received 726 citations and a TLS of 166. Institute\nof Post Graduate Medical Education and Research have 43 publications, 252\ncitations, and a TLS of 81. Government Medical College has 55 publications, 225\ncitations, and a TLS of 80. Madras Diabetes Research Foundation has 59\npublications, this foundation has 261 citations and a TLS of 73 (Table 5).<\/p>\n\n\n\n

India has the highest number of\npublications at 1939, with 5725 citations and a TLS of 1131. United States has\n268 publications, 1439 citations, and a TLS of 361. United Kingdom has 167\npublications, 986 citations, and a TLS of 308. Australia has 103 publications,\nAustralia has 500 citations and a TLS of 170. Pakistan has 31 publications, 419\ncitations, and a TLS of 142 (Table 5).<\/p>\n\n\n\n

Table 5: Top 5 most active authors, organizations and countries of diabetes publications<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Subject<\/strong><\/p>\n<\/td>\n

\n

Number of Publications<\/strong><\/p>\n<\/td>\n

\n

Number of Citations<\/strong><\/p>\n<\/td>\n

\n

TLS<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Author<\/strong><\/p>\n<\/td>\n

 <\/td>\n <\/td>\n <\/td>\n<\/tr>\n
\n

Chakrabarti, Arunaloke<\/p>\n<\/td>\n

\n

4<\/p>\n<\/td>\n

\n

291<\/p>\n<\/td>\n

\n

42<\/p>\n<\/td>\n<\/tr>\n

\n

Chattopadhyay, Kaushik<\/p>\n<\/td>\n

\n

8<\/p>\n<\/td>\n

\n

29<\/p>\n<\/td>\n

\n

34<\/p>\n<\/td>\n<\/tr>\n

\n

Kinra, Sanjay<\/p>\n<\/td>\n

\n

9<\/p>\n<\/td>\n

\n

25<\/p>\n<\/td>\n

\n

32<\/p>\n<\/td>\n<\/tr>\n

\n

Prabhakaran, Dorairaj<\/p>\n<\/td>\n

\n

28<\/p>\n<\/td>\n

\n

70<\/p>\n<\/td>\n

\n

29<\/p>\n<\/td>\n<\/tr>\n

\n

Hoenigl, Martin<\/p>\n<\/td>\n

\n

2<\/p>\n<\/td>\n

\n

293<\/p>\n<\/td>\n

\n

26<\/p>\n<\/td>\n<\/tr>\n

\n

Organiation<\/strong> <\/p>\n<\/td>\n<\/tr>\n

\n

All India Institute of Medical Sciences<\/p>\n<\/td>\n

\n

322<\/p>\n<\/td>\n

\n

874<\/p>\n<\/td>\n

\n

286<\/p>\n<\/td>\n<\/tr>\n

\n

Post Graduate Institute of Medical Education And Research<\/p>\n<\/td>\n

\n

101<\/p>\n<\/td>\n

\n

726<\/p>\n<\/td>\n

\n

166<\/p>\n<\/td>\n<\/tr>\n

\n

Institute of Post Graduate Medical Education and Research<\/p>\n<\/td>\n

\n

43<\/p>\n<\/td>\n

\n

252<\/p>\n<\/td>\n

\n

81<\/p>\n<\/td>\n<\/tr>\n

\n

Government Medical College<\/p>\n<\/td>\n

\n

55<\/p>\n<\/td>\n

\n

225<\/p>\n<\/td>\n

\n

80<\/p>\n<\/td>\n<\/tr>\n

\n

Madras Diabetes Research Foundation<\/p>\n<\/td>\n

\n

59<\/p>\n<\/td>\n

\n

261<\/p>\n<\/td>\n

\n

73<\/p>\n<\/td>\n<\/tr>\n

\n

Countries<\/strong> <\/p>\n<\/td>\n<\/tr>\n

\n

India<\/p>\n<\/td>\n

\n

1939<\/p>\n<\/td>\n

\n

5725<\/p>\n<\/td>\n

\n

1131<\/p>\n<\/td>\n<\/tr>\n

\n

United states<\/p>\n<\/td>\n

\n

268<\/p>\n<\/td>\n

\n

1439<\/p>\n<\/td>\n

\n

361<\/p>\n<\/td>\n<\/tr>\n

\n

United Kingdom<\/p>\n<\/td>\n

\n

167<\/p>\n<\/td>\n

\n

986<\/p>\n<\/td>\n

\n

308<\/p>\n<\/td>\n<\/tr>\n

\n

Australia<\/p>\n<\/td>\n

\n

103<\/p>\n<\/td>\n

\n

500<\/p>\n<\/td>\n

\n

170<\/p>\n<\/td>\n<\/tr>\n

\n

Pakistan<\/p>\n<\/td>\n

\n

31<\/p>\n<\/td>\n

\n

419<\/p>\n<\/td>\n

\n

142<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

BA of the co-authorship<\/strong><\/p>\n\n\n\n

Table 6 and Figure 6 showcase the analysis conducted on 12,563 authors.\nThe total strength of co-authorship links with other authors was computed,\nleading to the identification of the top 30 authors with the highest TLS.\nNotably, among these authors, Mohan, Viswanathan stands out with a TLS of 123,\nstemming from 21 links across 67 documents.<\/strong><\/p>\n\n\n\n\n\n
\"\"<\/td>\n\n

Figure 6: Co-authorship Networks in Diabetes Research: Authors<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Table 6 and Figure 7 present the analysis conducted on 4,464 organizations. The total strength of co-authorship links with other organizations was calculated, leading to the identification of the top 30 organizations with the highest TLS. Notably, among these organizations, the All India Institute of Medical Sciences stands out with a TLS of 242, derived from 27 links across 322 documents.<\/p>\n\n\n\n\n\n
\"\"<\/td>\n\n

Figure 7: Co-authorship Networks in Diabetes Research: Organizations<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Table 6 and Figure 8 display the analysis conducted on 95 countries. The\ntotal strength of co-authorship links with other countries was computed,\nresulting in the identification of the top 30 countries with the highest TLS.\nRemarkably, among these countries, India emerges with a TLS of 708, stemming\nfrom 29 links across 1,939 documents.<\/strong><\/p>\n\n\n\n\n\n
\"\"<\/td>\n\n

Figure 8: Co-authorship Networks in Diabetes Research: Countries<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Table 6: Co-authorship Analysis of Authors, Organizations, and Countries in Diabetes Research<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Subject<\/strong><\/p>\n<\/td>\n

\n

Number of Publications<\/strong><\/p>\n<\/td>\n

\n

Number of Citations<\/strong><\/p>\n<\/td>\n

\n

TLS<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Author<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Mohan, Viswanathan<\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n

\n

224<\/p>\n<\/td>\n

\n

123<\/p>\n<\/td>\n<\/tr>\n

\n

Tandon, Nikhil<\/p>\n<\/td>\n

\n

58<\/p>\n<\/td>\n

\n

129<\/p>\n<\/td>\n

\n

115<\/p>\n<\/td>\n<\/tr>\n

\n

Prabhakaran, Dorairaj<\/p>\n<\/td>\n

\n

28<\/p>\n<\/td>\n

\n

70<\/p>\n<\/td>\n

\n

69<\/p>\n<\/td>\n<\/tr>\n

\n

Anjana, Ranjit Mohan<\/p>\n<\/td>\n

\n

30<\/p>\n<\/td>\n

\n

142<\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n<\/tr>\n

\n

Ali, Mohammed K.<\/p>\n<\/td>\n

\n

14<\/p>\n<\/td>\n

\n

23<\/p>\n<\/td>\n

\n

44<\/p>\n<\/td>\n<\/tr>\n

\n

Organization<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

All India Institute of Medical Sciences<\/p>\n<\/td>\n

\n

322<\/p>\n<\/td>\n

\n

874<\/p>\n<\/td>\n

\n

242<\/p>\n<\/td>\n<\/tr>\n

\n

Public Health Foundation of India<\/p>\n<\/td>\n

\n

51<\/p>\n<\/td>\n

\n

121<\/p>\n<\/td>\n

\n

112<\/p>\n<\/td>\n<\/tr>\n

\n

Madras Diabetes Research Foundation<\/p>\n<\/td>\n

\n

59<\/p>\n<\/td>\n

\n

261<\/p>\n<\/td>\n

\n

104<\/p>\n<\/td>\n<\/tr>\n

\n

Emory University<\/p>\n<\/td>\n

\n

34<\/p>\n<\/td>\n

\n

181<\/p>\n<\/td>\n

\n

94<\/p>\n<\/td>\n<\/tr>\n

\n

Centre for Chronic Disease Control<\/p>\n<\/td>\n

\n

28<\/p>\n<\/td>\n

\n

69<\/p>\n<\/td>\n

\n

89<\/p>\n<\/td>\n<\/tr>\n

\n

Countries<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Australia<\/p>\n<\/td>\n

\n

103<\/p>\n<\/td>\n

\n

500<\/p>\n<\/td>\n

\n

223<\/p>\n<\/td>\n<\/tr>\n

\n

Austria<\/p>\n<\/td>\n

\n

6<\/p>\n<\/td>\n

\n

313<\/p>\n<\/td>\n

\n

30<\/p>\n<\/td>\n<\/tr>\n

\n

Bangladesh<\/p>\n<\/td>\n

\n

32<\/p>\n<\/td>\n

\n

320<\/p>\n<\/td>\n

\n

74<\/p>\n<\/td>\n<\/tr>\n

\n

Belgium<\/p>\n<\/td>\n

\n

10<\/p>\n<\/td>\n

\n

357<\/p>\n<\/td>\n

\n

34<\/p>\n<\/td>\n<\/tr>\n

\n

Brazil<\/p>\n<\/td>\n

\n

16<\/p>\n<\/td>\n

\n

344<\/p>\n<\/td>\n

\n

37<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

BA of the bibliographic coupling and co-citation<\/strong><\/p>\n\n\n\n

Table 7 illustrate the analysis conducted on 2,500 documents. The total\nstrength of bibliographic coupling links with other documents was calculated,\nresulting in the identification of the top 30 documents with the highest TLS.\nFrom this analysis, two clusters were derived. Cluster 1, highlighted in green,\nencompasses 15 items focusing on the review of cases, with a representative\npaper published in The Lancet Microbe in 2022 by Hoenigl. Cluster 2,\nhighlighted in orange, comprises 15 items discussing mucomycosis. <\/p>\n\n\n\n

Table 7: Bibliographic Coupling Analysis of Documents in Diabetes Research<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n
\n

Documents<\/strong><\/p>\n<\/td>\n

\n

Number of Citations<\/strong><\/p>\n<\/td>\n

\n

TLS<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Hoenigl (2022)<\/p>\n<\/td>\n

\n

271<\/p>\n<\/td>\n

\n

511<\/p>\n<\/td>\n<\/tr>\n

\n

Seyedalinaghi (2022)<\/p>\n<\/td>\n

\n

28<\/p>\n<\/td>\n

\n

596<\/p>\n<\/td>\n<\/tr>\n

\n

Sharma (2022a)<\/p>\n<\/td>\n

\n

27<\/p>\n<\/td>\n

\n

567<\/p>\n<\/td>\n<\/tr>\n

\n

Chao (2022)<\/p>\n<\/td>\n

\n

25<\/p>\n<\/td>\n

\n

686<\/p>\n<\/td>\n<\/tr>\n

\n

Watanabe (2022)<\/p>\n<\/td>\n

\n

23<\/p>\n<\/td>\n

\n

408<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Analysis conducted on 68,067 cited references, the total strength of\nco-citation links with other cited references was calculated, resulting in the\nidentification of the top 30 cited references with the greatest TLS.\nAdditionally, Figure 9 visually represents the findings, showcasing four\nclusters obtained from the analysis. Cluster 1, depicted in orange, comprises\n11 items. Cluster 2, shown in green, consists of 10 items. Cluster 3,\nhighlighted in blue, includes 5 items, while Cluster 4, illustrated in yellow,\nencompasses 4 items.<\/p>\n\n\n\n\n\n
\"\"<\/td>\n\n

Figure 9: Co-Citation Network of Cited References in Diabetes Research<\/strong><\/p>\n

<\/p>\n

Click here to view Figure<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

Discussion<\/strong><\/p>\n\n\n\n

The BA of publications focusing on Diabetes and India from 2014 to 2023\npresents several notable findings that shed light on the research landscape in\nthis area8<\/sup>.<\/p>\n\n\n\n

Firstly, the significant volume of publications identified, totaling\n498,138, indicates a substantial interest in the topic within the academic\ncommunity. The distribution of publications across different document types\nreveals a predominant focus on articles (both research and review),\nunderscoring the importance of scholarly discourse and knowledge dissemination\nin this field. Additionally, the presence of chapters, edited books, preprints,\nmonographs, and conference proceedings highlights diverse modes of scholarly\ncommunication and collaboration9<\/sup>.<\/p>\n\n\n\n

Temporal trends in publication output indicate a consistent level of\nactivity over the past decade, with a notable increase in publications in\nrecent years. This suggests a growing interest and possibly an increasing\nresearch focus on Diabetes in the context of India10<\/sup>.<\/p>\n\n\n\n

The analysis of keywords reveals common themes and areas of emphasis\nwithin the literature. Keywords such as “rat,”\n“Streptozotocin,” and “diabetic rat” indicate a significant\nemphasis on experimental models and pathophysiological mechanisms of Diabetes,\nparticularly in animal studies. However, the prominence of keywords related to\nclinical aspects, such as “Diabetes” and “India,”\nunderscores the relevance of epidemiological, clinical, and public health\ndimensions of the disease in the Indian context11<\/sup>.<\/p>\n\n\n\n

Examining citation patterns provides insights into the most influential\narticles, authors, organizations, and countries in the field. The top-cited\narticles predominantly comprise clinical studies, reflecting the importance of\nevidence-based research in informing clinical practice and public health\ninterventions. Furthermore, the identification of key authors, organizations,\nand countries with high citation and co-authorship link strengths underscores\nthe collaborative nature of research endeavors in addressing Diabetes-related\nchallenges12-13<\/sup>.<\/p>\n\n\n\n

The analysis of co-authorship networks reveals patterns of collaboration\namong researchers, organizations, and countries, highlighting the\ninterconnectedness and knowledge exchange within the scientific community.\nNotably, the presence of distinct clusters based on bibliographic coupling and\nco-citation analysis indicates thematic concentrations within the literature,\nsuch as review of cases and discussions on specific complications like\nmucomycosis14-15<\/sup>.<\/p>\n\n\n\n

Overall, the BA provides a comprehensive overview of the research\nlandscape surrounding Diabetes and India, highlighting key themes, trends, and\ncontributors shaping the field. The findings contribute to a deeper\nunderstanding of the current state of research, identify areas for further\ninvestigation, and inform strategies for addressing the multifaceted challenges\nposed by Diabetes in the Indian context16-19<\/sup>.<\/p>\n\n\n\n

Conclusion<\/strong><\/p>\n\n\n\n

In conclusion, the BA of Diabetes research in India from 2014 to 2023\nreveals a thriving scholarly landscape characterized by significant publication\nvolume and diverse research outputs. The findings highlight sustained research\ninterest, with an increasing focus on Diabetes-related issues in recent years.\nAnalysis of keywords underscores the multifaceted nature of research,\nencompassing experimental and clinical dimensions. Citation patterns illustrate\ninfluential contributions and collaborative networks, reflecting the\ninterconnectedness of researchers, organizations, and countries. Thematic\nclustering identifies emerging research trends and areas for further\nexploration. Overall, the analysis provides valuable insights into the state of\nDiabetes research in India, guiding future research directions and informing\nstrategies for addressing the complex challenges posed by the disease in the\nIndian context.<\/p>\n\n\n\n

Title, Abstract, Source title, Publication Year, Volume, Issue, Pagination,\nAuthors, Authors Affiliations, Country of Research organization, Citations, Cited\nreferences.<\/p>\n\n\n\n

Acknowledgement<\/strong><\/p>\n\n\n\n

The\nauthors would like to acknowledge and express their gratitude to the management\nof KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada, and V. V.\nInstitute of Pharmaceutical Sciences, Gudlavalleru, Krishna District, Andhra\nPradesh for their support and provision of research facilities that were instrumental\nin the successful completion of this study.<\/p>\n\n\n\n

Conflict of Interest<\/strong><\/p>\n\n\n\n

The authors confirm that\nthere are no conflicts of interest regarding the publication of this article.<\/p>\n\n\n\n

Funding Source<\/strong><\/p>\n\n\n\n

There is no funding Sources<\/p>\n\n\n\n

References<\/strong><\/p>\n\n\n\n

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