Kumar Gaurav
Impact in
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- Diabetes Treatment and Management
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- HIV-related health complications and treatments
Papers in
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- Diabetes Management and Research 8
- Diabetes Treatment and Management 8
- Diabetes Management and Education 4
- Surgery 15
- Lipoproteins and Cardiovascular Health 4
- Co-authors
- Shehla Shaikh (1 shared paper)Debasish Maji (1 shared paper)Deep Dutta (7 shared papers)Neera Sharma (5 shared papers)Atul Anand (5 shared papers)Gopal Krishana Bohra (1 shared paper)Durga Shankar Meena (1 shared paper)Deepak Kumar (1 shared paper)
- Journals
- Cardiology and Therapy (5 papers)The Indian Journal of Medical Research (4 papers)Annals of Oncology (1 paper)Lung Cancer (1 paper)World Journal of Diabetes (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Kumar Gaurav
36 papers receiving 348 citations
Peers
Comparison fields: 5 of 99
- Endocrinology, Diabetes and Metabolism 85
- Emergency Medicine 41
- Microbiology 3
- Nephrology 27
- Internal Medicine 10
Countries citing papers authored by Kumar Gaurav
This map shows the geographic impact of Kumar Gaurav'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 Kumar Gaurav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Gaurav more than expected).
Fields of papers citing papers by Kumar Gaurav
This network shows the impact of papers produced by Kumar Gaurav. 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 Kumar Gaurav. The network helps show where Kumar Gaurav may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Gaurav, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 64 | |
| 2 | 2013 | 61 | |
| 3 | 2021 | 28 | |
| 4 | 2015 | 22 | |
| 5 | 2017 | 21 | |
| 6 | 2008 | 19 | |
| 7 | 2014 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2015 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 4 |
About Kumar Gaurav
Kumar Gaurav is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology, having authored 49 papers that have together received 364 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Diabetes Treatment and Management (8 papers), Blood Pressure and Hypertension Studies (8 papers), Venous Thromboembolism Diagnosis and Management (5 papers), HIV-related health complications and treatments (4 papers), Diabetes Management and Education (4 papers), Acute Myocardial Infarction Research (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (85 citations), Emergency Medicine (41 citations), Microbiology (3 citations), Nephrology (27 citations) and Internal Medicine (10 citations). Kumar Gaurav has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Shehla Shaikh, Debasish Maji, Deep Dutta, Neera Sharma, Atul Anand, Gopal Krishana Bohra, Durga Shankar Meena, Deepak Kumar, Mukta Panda and Rahul Bansal. Their work appears in journals such as Cardiology and Therapy, The Indian Journal of Medical Research, Annals of Oncology, Lung Cancer and World Journal of Diabetes.
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.