Samit Ghosal
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Diabetes Treatment and Management 36
- Diabetes Management and Research 26
- Diabetes, Cardiovascular Risks, and Lipoproteins 6
-
- Metabolism, Diabetes, and Cancer 11
- Co-authors
- Binayak Sinha (38 shared papers)Anoop Misra (2 shared papers)Rahul Bhattacharyya (1 shared paper)Chris Taylor (8 shared papers)J McGaw (4 shared papers)Amerta Ghosh (1 shared paper)Koel Dutta (1 shared paper)Kalyan Kumar Gangopadhyay (6 shared papers)
- Journals
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (16 papers)Diabetes Therapy (5 papers)Scientific Reports (3 papers)Diabetes Metabolic Syndrome and Obesity (3 papers)Frontiers in Endocrinology (3 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Samit Ghosal
63 papers receiving 882 citations
Peers
Comparison fields: 5 of 113
- Endocrinology, Diabetes and Metabolism 434
- Modeling and Simulation 94
- Infectious Diseases 133
- Epidemiology 144
- Clinical Psychology 80
Countries citing papers authored by Samit Ghosal
This map shows the geographic impact of Samit Ghosal'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 Samit Ghosal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samit Ghosal more than expected).
Fields of papers citing papers by Samit Ghosal
This network shows the impact of papers produced by Samit Ghosal. 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 Samit Ghosal. The network helps show where Samit Ghosal may publish in the future.
Co-authors
The 25 scholars most cited alongside Samit Ghosal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 151 | |
| 2 | 2019 | 78 | |
| 3 | 2020 | 77 | |
| 4 | 2021 | 66 | |
| 5 | 2020 | 63 | |
| 6 | 2020 | 62 | |
| 7 | 1999 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 1997 | 22 | |
| 10 | 2013 | 21 | |
| 11 | 2019 | 21 | |
| 12 | 2022 | 21 | |
| 13 | 2020 | 21 | |
| 14 | 2016 | 18 | |
| 15 | 2018 | 16 | |
| 16 | 2000 | 15 | |
| 17 | 2014 | 15 | |
| 18 | 2013 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 1996 | 12 |
About Samit Ghosal
Samit Ghosal is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 68 papers that have together received 921 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (36 papers), Diabetes Management and Research (26 papers), Metabolism, Diabetes, and Cancer (11 papers), Cystic Fibrosis Research Advances (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Pancreatic function and diabetes (6 papers), COVID-19 Clinical Research Studies (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (434 citations), Modeling and Simulation (94 citations), Infectious Diseases (133 citations), Epidemiology (144 citations) and Clinical Psychology (80 citations). Samit Ghosal has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Binayak Sinha, Anoop Misra, Rahul Bhattacharyya, Chris Taylor, J McGaw, Amerta Ghosh, Koel Dutta, Kalyan Kumar Gangopadhyay, Saurav Chatterjee and Sanjay Chatterjee. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Diabetes Therapy, Scientific Reports, Diabetes Metabolic Syndrome and Obesity and Frontiers in Endocrinology.
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.