Peter Woolf
Impact in
- Aging top 2%
-
- Circadian rhythm and melatonin
Papers in
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- Gene Regulatory Network Analysis 7
- Receptor Mechanisms and Signaling 6
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 5
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- Computational Drug Discovery Methods 7
- Co-authors
- Weijun Luo (5 shared papers)Kurt D. Hankenson (4 shared papers)Michael S. Friedman (3 shared papers)Kerby Shedden (2 shared papers)Yixin Wang (1 shared paper)Jennifer J. Linderman (8 shared papers)Raghunandan M. Kainkaryam (7 shared papers)Andrew Giovanni (1 shared paper)
- Journals
- BMC Bioinformatics (6 papers)PLoS ONE (3 papers)Bioinformatics (2 papers)Journal of Theoretical Biology (2 papers)BMC Systems Biology (2 papers)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Peter Woolf
44 papers receiving 2.9k citations
Peter Woolf's Hit Papers
Peers
Comparison fields: 5 of 154
- Aging 116
- Endocrine and Autonomic Systems 399
- Molecular Biology 1.6k
- Plant Science 528
- Cellular and Molecular Neuroscience 198
Countries citing papers authored by Peter Woolf
This map shows the geographic impact of Peter Woolf'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 Peter Woolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Woolf more than expected).
Fields of papers citing papers by Peter Woolf
This network shows the impact of papers produced by Peter Woolf. 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 Peter Woolf. The network helps show where Peter Woolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Woolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GAGE: generally applicable gene set enrichment for pathway analysis Hit paper breakdown → | 2009 | 922 |
| 2 | 2005 | 430 | |
| 3 | 2012 | 290 | |
| 4 | 2000 | 200 | |
| 5 | 2011 | 146 | |
| 6 | 2003 | 110 | |
| 7 | 2004 | 100 | |
| 8 | 2011 | 86 | |
| 9 | 2010 | 81 | |
| 10 | 2003 | 63 | |
| 11 | 2008 | 56 | |
| 12 | Pooling in high-throughput drug screening. | 2009 | 52 |
| 13 | 2011 | 46 | |
| 14 | 2003 | 41 | |
| 15 | 2006 | 31 | |
| 16 | 2004 | 26 | |
| 17 | 2010 | 25 | |
| 18 | 2013 | 25 | |
| 19 | 2007 | 22 | |
| 20 | 2010 | 20 |
About Peter Woolf
Peter Woolf is a scholar working on Molecular Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, Plant Science and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Gene Regulatory Network Analysis (7 papers), Receptor Mechanisms and Signaling (6 papers), Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Plant Molecular Biology Research (3 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Aging (116 citations), Endocrine and Autonomic Systems (399 citations), Molecular Biology (1.6k citations), Plant Science (528 citations) and Cellular and Molecular Neuroscience (198 citations). Peter Woolf has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Weijun Luo, Kurt D. Hankenson, Michael S. Friedman, Kerby Shedden, Yixin Wang, Jennifer J. Linderman, Raghunandan M. Kainkaryam, Andrew Giovanni, Fernando Camacho and William J. Hurst. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Bioinformatics, Journal of Theoretical Biology and BMC Systems Biology.
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.