Rajesh S. Mathur
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Genetics top 5%
- Reproductive Medicine top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- H. Oliver WilliamsonPerry V. HalushkaSubbi MathurSara C. LandgrebeA.A. AjayiLucia O. MoodyElizabeth R. BakerJennifer Merriam
- Topics
- Hormonal and reproductive studies (31 papers)Estrogen and related hormone effects (17 papers)Receptor Mechanisms and Signaling (8 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Rajesh S. Mathur
97 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 130
- Endocrinology, Diabetes and Metabolism 838
- Molecular Biology 694
- Genetics 401
- Reproductive Medicine 398
- Cardiology and Cardiovascular Medicine 283
Countries citing papers authored by Rajesh S. Mathur
This map shows the geographic impact of Rajesh S. Mathur'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 Rajesh S. Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh S. Mathur more than expected).
Fields of papers citing papers by Rajesh S. Mathur
This network shows the impact of papers produced by Rajesh S. Mathur. 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 Rajesh S. Mathur. The network helps show where Rajesh S. Mathur may publish in the future.
Co-authorship network of co-authors of Rajesh S. Mathur
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh S. Mathur. A scholar is included among the top collaborators of Rajesh S. Mathur 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 Rajesh S. Mathur. Rajesh S. Mathur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 13 | |
| 3 | 10 | |
| 4 | Effect of adrenalectomy on rat epididymidis. | 5 |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 33 | |
| 8 | 48 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 20 | |
| 13 | 32 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 28 | |
| 18 | 56 | |
| 19 | 8 | |
| 20 | 112 |
About Rajesh S. Mathur
Rajesh S. Mathur is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (31 papers), Estrogen and related hormone effects (17 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (838 citations), Reproductive Medicine (398 citations) and Endocrinology (134 citations). Rajesh S. Mathur has collaborated with scholars based in United States, India and Canada. Frequent co-authors include H. Oliver Williamson, Perry V. Halushka, Subbi Mathur, Sara C. Landgrebe, A.A. Ajayi, Lucia O. Moody, Elizabeth R. Baker, Jennifer Merriam, Ralph R. Isberg and R. H. Common. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.
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.