Peter Woolf
- Aging top 2%
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 10
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 7
- Receptor Mechanisms and Signaling 6
- Genomics and Chromatin Dynamics 3
- Plant Science top 5%
- Plant Molecular Biology Research 3
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- Computational Drug Discovery Methods 5
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Weijun LuoKurt D. HankensonMichael S. FriedmanKerby SheddenJennifer J. LindermanYixin WangRaghunandan M. KainkaryamHeeseog Kang
- Partner nations
- United StatesAustraliaBulgaria
In The Last Decade
Peter Woolf
40 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Aging 120
- Endocrine and Autonomic Systems 387
- Molecular Biology 1.7k
- Plant Science 526
- Cellular and Molecular Neuroscience 201
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 5 | |
| 2 | 2020 | 1 | |
| 3 | 2012 | 280 | |
| 4 | 2011 | 15 | |
| 5 | 2011 | 14 | |
| 6 | 2011 | 83 | |
| 7 | 2011 | 41 | |
| 8 | 2010 | 4 | |
| 9 | 2010 | 80 | |
| 10 | 2010 | 21 | |
| 11 | 2010 | 18 | |
| 12 | 2009 | 4 | |
| 13 | GAGE: generally applicable gene set enrichment for pathway analysisbreakdown → | 2009 | 900 |
| 14 | 2008 | 16 | |
| 15 | 2007 | 13 | |
| 16 | 2007 | 17 | |
| 17 | 2006 | 31 | |
| 18 | 2004 | 25 | |
| 19 | 2004 | 91 | |
| 20 | COMPUTATIONAL ANALYSIS OF G-PROTEIN COUPLED RECEPTOR SCREENING, DIMERIZATION, AND DESENSITIZATION | 2002 | 1 |
About Peter Woolf
Peter Woolf is a scholar working on Aging, Biophysics and Molecular Biology, having authored 41 papers that have together received 2.8k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers), Receptor Mechanisms and Signaling (6 papers), Computational Drug Discovery Methods (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Genomics and Chromatin Dynamics (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Aging (120 citations), Endocrine and Autonomic Systems (387 citations) and Molecular Biology (1.7k citations). Peter Woolf has collaborated with scholars based in United States, Australia and Bulgaria. Frequent co-authors include Weijun Luo, Kurt D. Hankenson, Michael S. Friedman, Kerby Shedden, Jennifer J. Linderman, Yixin Wang, Raghunandan M. Kainkaryam, Heeseog Kang, Fernando Camacho and Erica Vielhaber. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, BMC Systems Biology, PLoS Genetics and Bioinformatics.
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.