Sunil Jain

2.3k total citations
26 papers, 654 citations indexed

About

Sunil Jain is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology. According to data from OpenAlex, Sunil Jain has authored 26 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 5 papers in Physiology. Recurrent topics in Sunil Jain's work include Diabetes Management and Research (10 papers), Diabetes Treatment and Management (10 papers) and Diabetes and associated disorders (5 papers). Sunil Jain is often cited by papers focused on Diabetes Management and Research (10 papers), Diabetes Treatment and Management (10 papers) and Diabetes and associated disorders (5 papers). Sunil Jain collaborates with scholars based in India, United States and Denmark. Sunil Jain's co-authors include Johnny Ludvigsson, Kathryn E. Stein, Ezio Bonvini, Ronald L. Wilder, Stephen Aronoff, Syd Johnson, Stanley R. Pillemer, Scott Koenig, Nicole Sherry and Robert J. Ferry and has published in prestigious journals such as The Lancet, Pain and The American Journal of Cardiology.

In The Last Decade

Sunil Jain

24 papers receiving 639 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sunil Jain India 10 438 336 330 115 92 26 654
Manuel Dolz France 7 191 0.4× 278 0.8× 280 0.8× 64 0.6× 117 1.3× 11 476
Klaus–Dieter Kohnert Germany 14 472 1.1× 244 0.7× 216 0.7× 108 0.9× 24 0.3× 35 655
Iwona Pietrzak Poland 12 351 0.8× 291 0.9× 331 1.0× 134 1.2× 14 0.2× 44 578
Chiara Gremizzi Italy 10 247 0.6× 194 0.6× 371 1.1× 40 0.3× 14 0.2× 15 484
Chloé Amouyal France 13 192 0.4× 82 0.2× 185 0.6× 53 0.5× 48 0.5× 35 425
G. Marietti Italy 13 285 0.7× 326 1.0× 339 1.0× 90 0.8× 88 1.0× 24 636
James Desemone United States 7 210 0.5× 160 0.5× 184 0.6× 28 0.2× 41 0.4× 12 348
K. Sayama Japan 9 123 0.3× 140 0.4× 140 0.4× 62 0.5× 111 1.2× 14 411
Katrin Nagl Austria 10 217 0.5× 178 0.5× 158 0.5× 78 0.7× 7 0.1× 16 369
Juana A. Flores-Le-Roux Spain 8 233 0.5× 113 0.3× 167 0.5× 29 0.3× 17 0.2× 12 402

Countries citing papers authored by Sunil Jain

Since Specialization
Citations

This map shows the geographic impact of Sunil Jain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunil Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Jain more than expected).

Fields of papers citing papers by Sunil Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Jain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunil Jain. The network helps show where Sunil Jain may publish in the future.

Co-authorship network of co-authors of Sunil Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Jain. A scholar is included among the top collaborators of Sunil Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunil Jain. Sunil Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chawla, Manoj, Sunil Jain, AG Unnikrishnan, et al.. (2025). Research Society for the Study of Diabetes in India (RSSDI) multidisciplinary expert consensus recommendations on role of oral fluid, electrolytes, and energy management in persons with diabetes. International Journal of Diabetes in Developing Countries. 45(4). 803–814.
2.
Debnath, Sanjoy Kumar, et al.. (2024). A computational model for prediction of IR intensity and burn time of Magnesium-Teflon-Viton (MTV) based Infrared (IR) decoy flare of various configurations. Infrared Physics & Technology. 145. 105651–105651. 3 indexed citations
3.
Jain, Sunil, Divya Singhal, Arabinda Ghosh, et al.. (2023). Multiple Ligand Simultaneous Docking Analysis of Epigallocatechin-O-Gallate (Green Tea) and Withaferin A (Ashwagandha) Effects on Skin-Aging Related Enzymes. Indian Journal of Pharmaceutical Sciences. 85(4). 3 indexed citations
4.
Phatak, Sanjeev, Banshi Saboo, Parag Shah, et al.. (2021). AGP Related Evaluation of Medical Nutrition Therapy for Diabetes Management (AMEND) – A Real World Observation Study. 5(2). 1 indexed citations
5.
6.
Srivastava, Anshu, et al.. (2020). Prevalence and predictive factors of undernutrition and low bone mineral density in children with chronic pancreatitis. Pancreatology. 21(1). 74–80. 8 indexed citations
7.
Mishriky, Basem M., Victor Okunrintemi, Sunil Jain, et al.. (2020). Do GLP-1RAs and SGLT-2is reduce cardiovascular events in women with type 2 diabetes? A systematic review and meta-analysis. Diabetes & Metabolism. 47(1). 101160–101160. 11 indexed citations
8.
Chawla, Manoj, Sunil Jain, Jothydev Kesavadev, et al.. (2020). Insulinization in T2DM with Basal Analogues During COVID-19 Pandemic: Expert Opinion from an Indian Panel. Diabetes Therapy. 12(1). 133–142. 2 indexed citations
9.
Jain, Sunil, Krishna Seshadri, A G Unnikrishnan, et al.. (2020). Best Practices and Tools for Titrating Basal Insulins: Expert Opinion from an Indian Panel via the Modified Delphi Consensus Method. Diabetes Therapy. 11(3). 621–632. 8 indexed citations
10.
Moey, Melissa, et al.. (2020). Is It Safe? A Case of Apixaban Use in Peritoneal Dialysis. A5180–A5180. 1 indexed citations
11.
Blonde, Lawrence, Udi Fainberg, Pedro Alberto García-Hernández, et al.. (2020). Liraglutide as add‐on to sodium‐glucose co‐transporter‐2 inhibitors in patients with inadequately controlled type 2 diabetes: LIRA‐ADD2SGLT2i, a 26‐week, randomized, double‐blind, placebo‐controlled trial. Diabetes Obesity and Metabolism. 22(6). 929–937. 39 indexed citations
12.
Khunti, Kamlesh, Viswanathan Mohan, Sunil Jain, et al.. (2017). Efficacy and Safety of IDegLira in Participants with Type 2 Diabetes in India Uncontrolled on Oral Antidiabetic Drugs and Basal Insulin: Data from the DUAL Clinical Trial Program. Diabetes Therapy. 8(3). 673–682. 1 indexed citations
13.
Vyas, Rishi, et al.. (2017). Comparative study of serum urea, creatinine and C-reactive protein level in chronic kidney disease patients with healthy subjects. International Journal of Research in Medical Sciences. 5(4). 1480–1480. 1 indexed citations
14.
Mohan, Viswanathan, Sunil Jain, Jothydev Kesavadev, et al.. (2016). Use of Retrospective Continuous Glucose Monitoring for Optimizing Management of Type 2 Diabetes in India.. PubMed. 64(4). 16–21. 21 indexed citations
15.
16.
Kumar, Ajay, et al.. (2015). Intensifying Insulin Therapy in Type 2 Diabetes: Choices & Challenges.. PubMed. 63(5 Suppl). 8–14. 3 indexed citations
17.
Mithal, Ambrish, Ajay Kumar, Sunil Jain, & Harish Kumar. (2014). Efficacy without barriers to insulin therapy: lessons from the BEGIN trial programme.. PubMed. 62(1 Suppl). 27–31. 1 indexed citations
18.
Sherry, Nicole, William Hagopian, Johnny Ludvigsson, et al.. (2011). Teplizumab for treatment of type 1 diabetes (Protégé study): 1-year results from a randomised, placebo-controlled trial. The Lancet. 378(9790). 487–497. 363 indexed citations
19.
20.
Jain, Sunil, et al.. (2010). Effect of Renal Function on Survival After Implantable Cardioverter Defibrillator Placement. The American Journal of Cardiology. 106(9). 1297–1300. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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