R. S. Swerdloff
- Endocrinology, Diabetes and Metabolism top 1%
- Reproductive Medicine top 0.5%
- Molecular Biology
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- William D. OdellYanhe LueDavid HeberChristina WangÁlvaro MoralesJohn E. MorleyJean‐Marc KaufmanFrederick C. W. Wu
- Topics
- Hormonal and reproductive studies (12 papers)Sperm and Testicular Function (10 papers)Hypothalamic control of reproductive hormones (6 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
R. S. Swerdloff
30 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 1.2k
- Reproductive Medicine 985
- Molecular Biology 684
- Genetics 345
- Public Health, Environmental and Occupational Health 328
Countries citing papers authored by R. S. Swerdloff
This map shows the geographic impact of R. S. Swerdloff'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 R. S. Swerdloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. S. Swerdloff more than expected).
Fields of papers citing papers by R. S. Swerdloff
This network shows the impact of papers produced by R. S. Swerdloff. 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 R. S. Swerdloff. The network helps show where R. S. Swerdloff may publish in the future.
Co-authorship network of co-authors of R. S. Swerdloff
This figure shows the co-authorship network connecting the top 25 collaborators of R. S. Swerdloff. A scholar is included among the top collaborators of R. S. Swerdloff 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 R. S. Swerdloff. R. S. Swerdloff 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 | 16 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 308 | |
| 6 | 190 | |
| 7 | 223 | |
| 8 | 23 | |
| 9 | 115 | |
| 10 | 271 | |
| 11 | 134 | |
| 12 | 4 | |
| 13 | 90 | |
| 14 | 65 | |
| 15 | 34 | |
| 16 | 14 | |
| 17 | 168 | |
| 18 | 69 | |
| 19 | 44 | |
| 20 | 36 |
About R. S. Swerdloff
R. S. Swerdloff is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (12 papers), Sperm and Testicular Function (10 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Reproductive Medicine (985 citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Behavioral Neuroscience (102 citations). R. S. Swerdloff has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include William D. Odell, Yanhe Lue, David Heber, Christina Wang, Álvaro Morales, John E. Morley, Jean‐Marc Kaufman, Frederick C. W. Wu, Wayne J.G. Hellstrom and W. Weidner. Their work appears in journals such as Science, Circulation and The Journal of Clinical Endocrinology & Metabolism.
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.