Somya Verma
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Cancer Research
- Co-authors
- Constantine A. StratakisMaria NesterovaAudrey Robinson‐WhiteNinet SinaiiSosipatros A. BoikosMargaret F. KeilIsabelle BourdeauAndré Lacroix
- Topics
- Adrenal Hormones and Disorders (5 papers)Pituitary Gland Disorders and Treatments (4 papers)Growth Hormone and Insulin-like Growth Factors (2 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismClinical Cancer ResearchClinical Endocrinology
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Somya Verma
8 papers receiving 361 citations
Peers
Comparison fields: 5 of 48
- Endocrinology, Diabetes and Metabolism 255
- Surgery 150
- Molecular Biology 107
- Cardiology and Cardiovascular Medicine 68
- Cancer Research 55
Countries citing papers authored by Somya Verma
This map shows the geographic impact of Somya Verma'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 Somya Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somya Verma more than expected).
Fields of papers citing papers by Somya Verma
This network shows the impact of papers produced by Somya Verma. 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 Somya Verma. The network helps show where Somya Verma may publish in the future.
Co-authorship network of co-authors of Somya Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Somya Verma. A scholar is included among the top collaborators of Somya Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Somya Verma. Somya Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 121 | |
| 7 | 48 | |
| 8 | 89 | |
| 9 | Germline AIP, MEN1, PRKAR1A, CDKN1B (p27Kip1) and CDKN2C (p18INK4c) gene mutations in a large cohort of pediatric patients with pituitary adenomas occurring in isolation or with associated syndromic features | 10 |
| 10 | 73 |
About Somya Verma
Somya Verma is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmaceutical Science and Clinical Biochemistry, having authored 10 papers that have together received 369 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (255 citations), Cancer Research (55 citations) and Surgery (150 citations). Somya Verma has collaborated with scholars based in United States, India and France. Frequent co-authors include Constantine A. Stratakis, Maria Nesterova, Audrey Robinson‐White, Ninet Sinaii, Sosipatros A. Boikos, Margaret F. Keil, Isabelle Bourdeau, André Lacroix, Lawrence S. Kirschner and Hui‐Pin Hsiao. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Cancer Research and Clinical Endocrinology.
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.