Sanjeev N. Mehta
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- Diabetes Management and Research 39
- Diabetes Treatment and Management 19
- Diabetes Management and Education 7
- Diet, Metabolism, and Disease 6
- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Genetics top 10%
- Diabetes and associated disorders 13
- Family Practice top 10%
- Geriatrics and Gerontology top 10%
- Speech and Hearing top 5%
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- Obesity, Physical Activity, Diet 14
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- Pancreatic function and diabetes 12
- Co-authors
- Lori M. LaffelTonja R. NanselLisa K. VolkeningLeah M. LipskyDenise L. HaynieNicolle QuinnLaurie HigginsMikhail Kosiborod
- Journals
- SHILAP Revista de lepidopterología (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Diabetes Care (6 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Sanjeev N. Mehta
51 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Endocrinology, Diabetes and Metabolism 832
- Genetics 305
- Family Practice 22
- Geriatrics and Gerontology 37
- Speech and Hearing 55
Countries citing papers authored by Sanjeev N. Mehta
This map shows the geographic impact of Sanjeev N. Mehta'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 Sanjeev N. Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev N. Mehta more than expected).
Fields of papers citing papers by Sanjeev N. Mehta
This network shows the impact of papers produced by Sanjeev N. Mehta. 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 Sanjeev N. Mehta. The network helps show where Sanjeev N. Mehta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanjeev N. Mehta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 37 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 55 | |
| 9 | 2018 | 3 | |
| 10 | 2016 | 82 | |
| 11 | 2015 | 61 | |
| 12 | 2014 | 43 | |
| 13 | 2014 | 30 | |
| 14 | 2013 | 25 | |
| 15 | 2013 | 19 | |
| 16 | 2012 | 18 | |
| 17 | Radioactive-iodine therapy: a patient satisfaction survey | 2010 | 1 |
| 18 | 2010 | 16 | |
| 19 | 2008 | 39 | |
| 20 | 2007 | 19 |
About Sanjeev N. Mehta
Sanjeev N. Mehta is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Genetics, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (39 papers), Diabetes Treatment and Management (19 papers), Obesity, Physical Activity, Diet (14 papers), Diabetes and associated disorders (13 papers), Pancreatic function and diabetes (12 papers), Diabetes Management and Education (7 papers), Diet, Metabolism, and Disease (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (832 citations), Genetics (305 citations) and Family Practice (22 citations). Sanjeev N. Mehta has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Lori M. Laffel, Tonja R. Nansel, Lisa K. Volkening, Leah M. Lipsky, Denise L. Haynie, Nicolle Quinn, Laurie Higgins, Mikhail Kosiborod, Suzanne V. Arnold and Alisha J. Rovner. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.