Jay Tewari
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
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- Body Composition Measurement Techniques
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Management and Research 2
- Diabetes Treatment and Management 2
- Surgery 4
- Pancreatic function and diabetes 1
- Co-authors
- Anuj Maheshwari (5 shared papers)Savneet Kaur (2 shared papers)Sabiha Khatoon (1 shared paper)Pravesh Vishwakarma (1 shared paper)Singh Sk (1 shared paper)Rishi Sethi (1 shared paper)Virendra Atam (3 shared papers)Shafiul Haque (1 shared paper)
- Journals
- Journal of Human Hypertension (1 paper)Naunyn-Schmiedeberg s Archives of Pharmacology (1 paper)Expert Review of Clinical Pharmacology (1 paper)Journal of Diabetes & Metabolic Disorders (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Jay Tewari
12 papers receiving 42 citations
Peers
Comparison fields: 5 of 34
- Endocrinology, Diabetes and Metabolism 16
- Physiology 10
- Public Health, Environmental and Occupational Health 9
- Cardiology and Cardiovascular Medicine 7
- Pharmacology 5
Countries citing papers authored by Jay Tewari
This map shows the geographic impact of Jay Tewari'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 Jay Tewari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Tewari more than expected).
Fields of papers citing papers by Jay Tewari
This network shows the impact of papers produced by Jay Tewari. 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 Jay Tewari. The network helps show where Jay Tewari may publish in the future.
Co-authors
The 17 scholars most cited alongside Jay Tewari, 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 | 2023 | 17 | |
| 2 | 2021 | 6 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2021 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2022 | 0 |
About Jay Tewari
Jay Tewari is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Pharmacology, having authored 17 papers that have together received 42 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Blood Pressure and Hypertension Studies (3 papers), Diabetes Management and Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Diabetes Treatment and Management (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (16 citations), Physiology (10 citations), Public Health, Environmental and Occupational Health (9 citations), Cardiology and Cardiovascular Medicine (7 citations) and Pharmacology (5 citations). Jay Tewari has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Anuj Maheshwari, Savneet Kaur, Sabiha Khatoon, Pravesh Vishwakarma, Singh Sk, Rishi Sethi, Virendra Atam, Shafiul Haque, Gaurav Chaudhary and Rajiv Tiwari. Their work appears in journals such as Journal of Human Hypertension, Naunyn-Schmiedeberg s Archives of Pharmacology, Expert Review of Clinical Pharmacology, Journal of Diabetes & Metabolic Disorders and SHILAP Revista de lepidopterología.
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.