Mayank Patel
Impact in
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- Pituitary Gland Disorders and Treatments
- Hormonal Regulation and Hypertension
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- Cancer, Hypoxia, and Metabolism
Papers in
- Surgery 17
- Adrenal and Paraganglionic Tumors 15
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- Pituitary Gland Disorders and Treatments 5
- Co-authors
- Karel Pacák (10 shared papers)David Taïeb (10 shared papers)Abhishek Jha (9 shared papers)Partha Kar (3 shared papers)A. Cahid Civelek (6 shared papers)Isabel Tena (1 shared paper)Alexander Ling (8 shared papers)Philip Newland‐Jones (3 shared papers)
- Journals
- Journal of Diabetes Science and Technology (3 papers)Diabetic Medicine (2 papers)BMJ Open (2 papers)Frontiers in Endocrinology (2 papers)Annals of The Royal College of Surgeons of England (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Mayank Patel
39 papers receiving 319 citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 105
- Cancer Research 71
- Surgery 126
- Neurology 35
- General Dentistry 3
Countries citing papers authored by Mayank Patel
This map shows the geographic impact of Mayank Patel'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 Mayank Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Patel more than expected).
Fields of papers citing papers by Mayank Patel
This network shows the impact of papers produced by Mayank Patel. 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 Mayank Patel. The network helps show where Mayank Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayank Patel, 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 | 2020 | 29 | |
| 2 | 2020 | 27 | |
| 3 | 2020 | 25 | |
| 4 | 2021 | 23 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2009 | 15 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2003 | 8 | |
| 15 | 1997 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2017 | 6 |
About Mayank Patel
Mayank Patel is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Epidemiology, Neurology and Cancer Research, having authored 49 papers that have together received 330 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (15 papers), Cancer, Hypoxia, and Metabolism (6 papers), Neuroblastoma Research and Treatments (5 papers), Pituitary Gland Disorders and Treatments (5 papers), Diabetes and associated disorders (3 papers), Chronic Disease Management Strategies (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (105 citations), Cancer Research (71 citations), Surgery (126 citations), Neurology (35 citations) and General Dentistry (3 citations). Mayank Patel has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Karel Pacák, David Taïeb, Abhishek Jha, Partha Kar, A. Cahid Civelek, Isabel Tena, Alexander Ling, Philip Newland‐Jones, Melissa Gonzales and Ketan Dhatariya. Their work appears in journals such as Journal of Diabetes Science and Technology, Diabetic Medicine, BMJ Open, Frontiers in Endocrinology and Annals of The Royal College of Surgeons of England.
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.