Jan E. M. Polman
Jan E. M. Polman publishes mostly in Molecular Biology, Computational Theory and Mathematics and Reproductive Medicine, on topics such as Computational Drug Discovery Methods, Gene expression and cancer classification and Biomedical Text Mining and Ontologies.
- World rank
- #2,308,688 of 7,710,434 ranked researchers
- Rank in United States
- #688,341 of 1,627,098
- Works
- 28
- Citations
- 3.4k
- Citations per work
- 120.5
What does Jan E. M. Polman research?
Jan E. M. Polman's work is mostly in Biochemistry, Genetics and Molecular Biology (39%), Computer Science (14%), Medicine (10%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Life Sciences1244.3%
- Everything else828.5%
- Physical Sciences414.3%
- Computer Science414.3%
- Health Sciences412.9%
- Medicine310.0%
- Health Professions12.9%
- 1Molecular Biology33% of their works
- 2Computational Theory and Mathematics14% of their works
- 3Reproductive Medicine10% of their works
- 4Genetics6% of their works
- 5Pharmacology6% of their works
- 6General Health Professions3% of their works
Research topics
- Computational Drug Discovery Methods
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Drug-Induced Hepatotoxicity and Protection
- Ovarian function and disorders
- Animal Genetics and Reproduction
- Advanced Biosensing Techniques and Applications
Which keywords describe Jan E. M. Polman's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Gene Expression, Data Analysis, Microarray, Biomedical Ontologies and Gene Set Enrichment Analysis.
- Transgenic Animals
- High-Throughput Analysis
- Polycystic Ovary Syndrome
- Hepatotoxicity
- Text Mining
- Gene Set Enrichment Analysis
- Microarray
- Gene Expression
- Molecular Docking
- Machine Learning
- Virtual Screening
- Data Analysis
- Biomedical Ontologies
- Protein-Protein Interaction Networks
- Drug-Induced Liver Injury
- Ovarian Reserve
- Genetic Modification
- Protein Microarrays
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 18 words, with their numbers
- Machine Learning162 topics
- Molecular Docking101 topic
- Virtual Screening101 topic
- Gene Expression82 topics
- Data Analysis61 topic
- Microarray61 topic
- Biomedical Ontologies41 topic
- Gene Set Enrichment Analysis41 topic
- Protein-Protein Interaction Networks41 topic
- Text Mining41 topic
- Drug-Induced Liver Injury31 topic
- Hepatotoxicity31 topic
- Ovarian Reserve31 topic
- Polycystic Ovary Syndrome31 topic
- Genetic Modification21 topic
- High-Throughput Analysis21 topic
- Protein Microarrays21 topic
- Transgenic Animals21 topic
Where does Jan E. M. Polman work?
Jan E. M. Polman's main affiliation in the publication record is Target (United States), United States.
How many publications and citations does Jan E. M. Polman have?
OpenAlex counts 28 works and 3,373 citations for Jan E. M. Polman, an h-index of 13, ranking #2,308,688 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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