Ajith Kumar
Impact in
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- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
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- Cancer, Hypoxia, and Metabolism
Papers in
- Surgery 18
- Adrenal and Paraganglionic Tumors 10
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- Pituitary Gland Disorders and Treatments 9
- Co-authors
- Márta Korbonits (11 shared papers)Helen L. Storr (5 shared papers)Sian Ellard (3 shared papers)Ashley Grossman (3 shared papers)Karen Stals (3 shared papers)Scott Akker (4 shared papers)Umasuthan Srirangalingam (3 shared papers)Yvonne Wallis (2 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)Clinical Endocrinology (2 papers)Expert Opinion on Investigational Drugs (1 paper)The Lancet (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Ajith Kumar
37 papers receiving 920 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 419
- Cancer Research 135
- Genetics 82
- Genetics 225
- Surgery 305
Countries citing papers authored by Ajith Kumar
This map shows the geographic impact of Ajith Kumar'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 Ajith Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajith Kumar more than expected).
Fields of papers citing papers by Ajith Kumar
This network shows the impact of papers produced by Ajith Kumar. 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 Ajith Kumar. The network helps show where Ajith Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajith Kumar, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 145 | |
| 2 | 2010 | 142 | |
| 3 | 2011 | 109 | |
| 4 | 2008 | 67 | |
| 5 | 2013 | 66 | |
| 6 | 2014 | 53 | |
| 7 | 2012 | 52 | |
| 8 | 2010 | 49 | |
| 9 | 2013 | 47 | |
| 10 | 2020 | 36 | |
| 11 | 2016 | 31 | |
| 12 | 2005 | 30 | |
| 13 | 2013 | 16 | |
| 14 | 1997 | 15 | |
| 15 | 2016 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2011 | 11 | |
| 18 | Coexistence of congenital subaortic and sinus of valsalva aneurysms. | 2003 | 10 |
| 19 | AIP-Related Familial Isolated Pituitary Adenomas | 2012 | 9 |
| 20 | 2018 | 8 |
About Ajith Kumar
Ajith Kumar is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 972 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (10 papers), Pituitary Gland Disorders and Treatments (9 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Congenital heart defects research (2 papers), Cardiac Arrhythmias and Treatments (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (419 citations), Cancer Research (135 citations), Genetics (82 citations), Genetics (225 citations) and Surgery (305 citations). Ajith Kumar has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Márta Korbonits, Helen L. Storr, Sian Ellard, Ashley Grossman, Karen Stals, Scott Akker, Umasuthan Srirangalingam, Yvonne Wallis, A. Brew Atkinson and Harvinder Chahal. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Expert Opinion on Investigational Drugs, The Lancet and JNCI Journal of the National Cancer Institute.
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.