Jan Polman

3.3k citations
17 papers · 2.7k indexed · 1 hit paper · h-index 13

Impact in

    • Ovarian function and disorders
    • Endometriosis Research and Treatment
    • Sperm and Testicular Function
  • Genetics top 1%
    • Estrogen and related hormone effects

Papers in

Jan Polman

16 papers receiving 2.6k citations

Hit Papers

ERβ: Identification and characterization of a novel human estrogen receptor 1996 · 1.9k citations
1.9k199620262006201650010001.5k

Peers

Jan Polman
Comparison fields: 5 of 116
  • Reproductive Medicine 683
  • Genetics 1.7k
  • Toxicology 89
  • Endocrinology, Diabetes and Metabolism 369
  • Immunology 398
Replace Guojun Cheng with:
Guojun Cheng Sweden
J. Dinny Graham Australia
Viroj Boonyaratanakornkit United States
Gary Means United States
Jay Wimalasena United States
B W O'Malley United States
Jean‐Marc Bornert France
Glenn S. Takimoto United States
D. P. McDonnell United States
Bonnie J. Deroo United States
Jan Polman relative to Guojun Cheng Sweden Guojun Cheng's profile →
Citations per field
00.5×1.5×1.9×
Guojun Cheng · 1×
Citations per year

Countries citing papers authored by Jan Polman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jan Polman Line = papers co-authored together Jan Polman links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
ERβ: Identification and characterization of a novel human estrogen receptor
Hit paper breakdown →
19961853
2 2004227
3 2004136
4 1994133
5 200870
6 200866
7 200558
8 201149
9 201132
10 199226
11 200717
12 200716
13 201413
14 20143
15 20041
16 20051
17 20101

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.

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