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 29
- Diabetes Management and Research 13
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
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- Cystic Fibrosis Research Advances 7
- 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)Saurav Chatterjee (1 shared paper)
- Journals
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (16 papers)Diabetes Therapy (5 papers)Scientific Reports (3 papers)Frontiers in Endocrinology (3 papers)Diabetes Metabolic Syndrome and Obesity (3 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Samit Ghosal
65 papers receiving 933 citations
Peers
Comparison fields: 5 of 112
- Endocrinology, Diabetes and Metabolism 369
- Modeling and Simulation 78
- Infectious Diseases 82
- Epidemiology 122
- Health Information Management 15
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 | 152 | |
| 2 | 2020 | 84 | |
| 3 | 2019 | 82 | |
| 4 | 2021 | 68 | |
| 5 | 2020 | 65 | |
| 6 | 2020 | 62 | |
| 7 | 2020 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 1999 | 26 | |
| 10 | 2020 | 22 | |
| 11 | 1997 | 22 | |
| 12 | 2013 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2016 | 20 | |
| 15 | 2000 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2018 | 16 | |
| 18 | 2013 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 1996 | 12 |
About Samit Ghosal
Samit Ghosal is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Molecular Biology, having authored 68 papers that have together received 970 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (29 papers), Diabetes Management and Research (13 papers), Cystic Fibrosis Research Advances (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Pharmacology and Obesity Treatment (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (369 citations), Modeling and Simulation (78 citations), Infectious Diseases (82 citations), Epidemiology (122 citations) and Health Information Management (15 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, Saurav Chatterjee, Kalyan Kumar Gangopadhyay and Sanjay Chatterjee. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Diabetes Therapy, Scientific Reports, Frontiers in Endocrinology and Diabetes Metabolic Syndrome and Obesity.
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.