Somya Verma

521 total citations
10 papers, 369 citations indexed

About

Somya Verma is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Somya Verma has authored 10 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Somya Verma's 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). Somya Verma is often cited by papers focused on Adrenal Hormones and Disorders (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). Somya Verma collaborates with scholars based in United States, India and France. Somya Verma's 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 and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Cancer Research and Clinical Endocrinology.

In The Last Decade

Somya Verma

8 papers receiving 361 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Somya Verma United States 7 255 150 107 68 55 10 369
MT Dattani United Kingdom 12 250 1.0× 80 0.5× 134 1.3× 40 0.6× 30 0.5× 14 387
Qinghua Guo China 11 375 1.5× 227 1.5× 62 0.6× 22 0.3× 19 0.3× 49 455
Saba Samad Memon India 9 130 0.5× 133 0.9× 45 0.4× 10 0.1× 36 0.7× 66 270
Wolfgang Mohnike Germany 10 231 0.9× 89 0.6× 31 0.3× 14 0.2× 43 0.8× 26 348
Rie Kawakita Japan 12 183 0.7× 162 1.1× 101 0.9× 14 0.2× 12 0.2× 23 327
Amandine Ferrière France 11 253 1.0× 167 1.1× 56 0.5× 10 0.1× 42 0.8× 34 384
Isabelle Oliver France 11 211 0.8× 48 0.3× 149 1.4× 33 0.5× 16 0.3× 13 353
Benjamin Chevalier France 8 114 0.4× 86 0.6× 76 0.7× 33 0.5× 26 0.5× 28 273
Kirsten Thiele Germany 6 121 0.5× 65 0.4× 72 0.7× 53 0.8× 23 0.4× 9 207
J. L. Chaussain France 7 123 0.5× 42 0.3× 212 2.0× 33 0.5× 22 0.4× 11 321

Countries citing papers authored by Somya Verma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
2.
Verma, Somya, et al.. (2021). Development of probiotic from “bassi” a chhattisgarhi fermented food containing suitable antioxidant values. Agricultural Research Journal. 58(3). 500–505.
3.
Verma, Somya, et al.. (2017). FORMULATION AND EVALUATION OF IVERMECTIN SOLID DISPERSION. Journal of Drug Delivery and Therapeutics. 7(7). 15–17. 8 indexed citations
4.
Verma, Somya, Carol VanRyzin, Bart Drinkard, et al.. (2010). Adrenomedullary Function in Patients with Nonclassic Congenital Adrenal Hyperplasia. Hormone and Metabolic Research. 42(8). 607–612. 16 indexed citations
5.
Drori-Herishanu, Limor, Maya Lodish, Somya Verma, et al.. (2009). The Growth Hormone Receptor (GHR) Polymorphism in Growth-retarded Children with Cushing Disease: Lack of Association with Growth and Measures of the Somatotropic Axis. Hormone and Metabolic Research. 42(3). 194–197. 3 indexed citations
6.
Hsiao, Hui‐Pin, Lawrence S. Kirschner, Isabelle Bourdeau, et al.. (2009). Clinical and Genetic Heterogeneity, Overlap with Other Tumor Syndromes, and Atypical Glucocorticoid Hormone Secretion in Adrenocorticotropin-Independent Macronodular Adrenal Hyperplasia Compared with Other Adrenocortical Tumors. The Journal of Clinical Endocrinology & Metabolism. 94(8). 2930–2937. 121 indexed citations
7.
Lodish, Maya, Ninet Sinaii, Nicholas J. Patronas, et al.. (2009). Blood Pressure in Pediatric Patients with Cushing Syndrome. The Journal of Clinical Endocrinology & Metabolism. 94(6). 2002–2008. 48 indexed citations
8.
9.
Beckers, Albert, Jean-François Vanbellinghen, Sosipatros A. Boikos, et al.. (2008). 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. Open Repository and Bibliography (University of Liège). 10 indexed citations
10.
Horvath, Anélia, Ioannis Bossis, Christoforos Giatzakis, et al.. (2008). Large Deletions of the PRKAR1A Gene in Carney Complex. Clinical Cancer Research. 14(2). 388–395. 73 indexed citations

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.

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