Ankit Gilani
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
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- Hormonal Regulation and Hypertension
Papers in
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- Adipose Tissue and Metabolism 5
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- Eicosanoids and Hypertension Pharmacology 8
- Co-authors
- Michal L. Schwartzman (8 shared papers)Víctor García (7 shared papers)John R. Falck (6 shared papers)Jorge H. Capdevila (2 shared papers)Frank Fan Zhang (2 shared papers)James C. Lo (8 shared papers)Kevin Agostinucci (5 shared papers)Darryl C. Zeldin (1 shared paper)
- Journals
- eLife (2 papers)The FASEB Journal (2 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (2 papers)Comprehensive physiology (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Ankit Gilani
17 papers receiving 346 citations
Peers
Comparison fields: 5 of 63
- Biochemistry 150
- Endocrinology, Diabetes and Metabolism 96
- Physiology 72
- Pathology and Forensic Medicine 45
- Pharmacology 20
Countries citing papers authored by Ankit Gilani
This map shows the geographic impact of Ankit Gilani'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 Ankit Gilani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Gilani more than expected).
Fields of papers citing papers by Ankit Gilani
This network shows the impact of papers produced by Ankit Gilani. 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 Ankit Gilani. The network helps show where Ankit Gilani may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Gilani, 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 | 2017 | 132 | |
| 2 | 2018 | 39 | |
| 3 | 2024 | 32 | |
| 4 | 1993 | 30 | |
| 5 | 2020 | 30 | |
| 6 | 2023 | 19 | |
| 7 | 2014 | 19 | |
| 8 | 2017 | 12 | |
| 9 | 2024 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2020 | 5 | |
| 12 | 1993 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2022 | 0 |
About Ankit Gilani
Ankit Gilani is a scholar working on Physiology, Biochemistry, Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 347 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (8 papers), Hormonal Regulation and Hypertension (5 papers), Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (3 papers), Diabetes and associated disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Apelin-related biomedical research (2 papers) and Alcohol Consumption and Health Effects (2 papers). The work is most often cited by research in Biochemistry (150 citations), Endocrinology, Diabetes and Metabolism (96 citations), Physiology (72 citations), Pathology and Forensic Medicine (45 citations) and Pharmacology (20 citations). Ankit Gilani has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Michal L. Schwartzman, Víctor García, John R. Falck, Jorge H. Capdevila, Frank Fan Zhang, James C. Lo, Kevin Agostinucci, Darryl C. Zeldin, Artiom Gruzdev and Joan P. Graves. Their work appears in journals such as eLife, The FASEB Journal, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Comprehensive physiology and Journal of Pharmacology and Experimental Therapeutics.
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.