Jan Polman
Impact in
- Reproductive Medicine top 1%
- Ovarian function and disorders
- Endometriosis Research and Treatment
- Sperm and Testicular Function
- Genetics top 1%
- Estrogen and related hormone effects
Papers in ⓘ
-
- Ovarian function and disorders 3
- Endometriosis Research and Treatment 2
- Sperm and Testicular Function 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Sietse Mosselman (4 shared papers)R. Dijkema (1 shared paper)A. Riesewijk (2 shared papers)Carlos Simón (2 shared papers)António Pellicer (2 shared papers)J.A. Horcajadas (2 shared papers)R. John Aitken (2 shared papers)H. Bunschoten (2 shared papers)
- Journals
- Toxicology Letters (2 papers)Nucleic Acids Research (2 papers)Toxicology and Applied Pharmacology (2 papers)Molecular Human Reproduction (1 paper)Quality and Reliability Engineering International (1 paper)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Jan Polman
16 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Reproductive Medicine 683
- Genetics 1.7k
- Toxicology 89
- Endocrinology, Diabetes and Metabolism 369
- Immunology 398
Countries citing papers authored by Jan Polman
This map shows the geographic impact of Jan Polman'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 Jan Polman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Polman more than expected).
Fields of papers citing papers by Jan Polman
This network shows the impact of papers produced by Jan Polman. 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 Jan Polman. The network helps show where Jan Polman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Polman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ERβ: Identification and characterization of a novel human estrogen receptor Hit paper breakdown → | 1996 | 1853 |
| 2 | 2004 | 227 | |
| 3 | 2004 | 136 | |
| 4 | 1994 | 133 | |
| 5 | 2008 | 70 | |
| 6 | 2008 | 66 | |
| 7 | 2005 | 58 | |
| 8 | 2011 | 49 | |
| 9 | 2011 | 32 | |
| 10 | 1992 | 26 | |
| 11 | 2007 | 17 | |
| 12 | 2007 | 16 | |
| 13 | 2014 | 13 | |
| 14 | 2014 | 3 | |
| 15 | 2004 | 1 | |
| 16 | 2005 | 1 | |
| 17 | 2010 | 1 |
About Jan Polman
Jan Polman is a scholar working on Reproductive Medicine, Computational Theory and Mathematics, Pharmacology, Genetics and Molecular Biology, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Ovarian function and disorders (3 papers), Animal Genetics and Reproduction (2 papers), Endometriosis Research and Treatment (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Reproductive Medicine (683 citations), Genetics (1.7k citations), Toxicology (89 citations), Endocrinology, Diabetes and Metabolism (369 citations) and Immunology (398 citations). Jan Polman has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Sietse Mosselman, R. Dijkema, A. Riesewijk, Carlos Simón, António Pellicer, J.A. Horcajadas, R. John Aitken, H. Bunschoten, Marcel van Duin and A.J. Grootenhuis. Their work appears in journals such as Toxicology Letters, Nucleic Acids Research, Toxicology and Applied Pharmacology, Molecular Human Reproduction and Quality and Reliability Engineering International.
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.