Peter Woolf

3.9k total citations · 1 hit paper
41 papers, 2.8k citations indexed

About

Peter Woolf is a scholar working on Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter Woolf has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter Woolf's work include Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (7 papers). Peter Woolf is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (7 papers). Peter Woolf collaborates with scholars based in United States, Australia and France. Peter Woolf's co-authors include Weijun Luo, Kurt D. Hankenson, Michael S. Friedman, Kerby Shedden, Jennifer J. Linderman, Yixin Wang, Raghunandan M. Kainkaryam, Erik J. Eide, Heeseog Kang and Erica Vielhaber and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Peter Woolf

40 papers receiving 2.8k citations

Hit Papers

GAGE: generally applicable gene set enrichment for pathwa... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Woolf United States 19 1.7k 526 387 251 233 41 2.8k
Szymon M. Kiełbasa Netherlands 25 1.5k 0.9× 389 0.7× 223 0.6× 262 1.0× 227 1.0× 73 2.6k
Koji Kadota Japan 26 1.1k 0.7× 274 0.5× 325 0.8× 275 1.1× 124 0.5× 72 2.1k
Anton Bittner United States 16 1.8k 1.1× 233 0.4× 286 0.7× 214 0.9× 281 1.2× 23 3.1k
Alexander Kanapin Russia 15 3.1k 1.9× 527 1.0× 330 0.9× 266 1.1× 136 0.6× 58 4.3k
John I. Murray United States 30 3.6k 2.2× 222 0.4× 345 0.9× 332 1.3× 239 1.0× 57 5.0k
Jean‐François Rual United States 19 2.4k 1.5× 172 0.3× 273 0.7× 202 0.8× 92 0.4× 27 3.2k
Hong Xiao United States 27 2.3k 1.4× 595 1.1× 173 0.4× 188 0.7× 496 2.1× 101 4.1k
Matthias E. Futschik Germany 30 2.9k 1.7× 496 0.9× 83 0.2× 125 0.5× 250 1.1× 80 4.2k
Nicola Neretti United States 32 2.5k 1.5× 605 1.2× 113 0.3× 728 2.9× 376 1.6× 74 3.7k
Robert J. Shmookler Reis United States 39 2.7k 1.6× 300 0.6× 240 0.6× 1.1k 4.5× 260 1.1× 134 4.4k

Countries citing papers authored by Peter Woolf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Peter Woolf

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Woolf. A scholar is included among the top collaborators of Peter Woolf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Woolf. Peter Woolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McDermott, John, Peter Woolf, Jamie M. Ellingford, et al.. (2021). A Nonadaptive Combinatorial Group Testing Strategy to Facilitate Health Care Worker Screening during the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Outbreak. Journal of Molecular Diagnostics. 23(5). 532–540. 5 indexed citations
2.
Woolf, Peter, et al.. (2020). Process Control: A Relevant Approach. 11.1026.1–11.1026.16. 1 indexed citations
3.
Kainkaryam, Raghunandan M., Yeon Hee Kang, Christine Bernhardt, et al.. (2012). A Gene Regulatory Network for Root Epidermis Cell Differentiation in Arabidopsis. PLoS Genetics. 8(1). e1002446–e1002446. 280 indexed citations
4.
Alvarez, Angel A. & Peter Woolf. (2011). RegNetB: Predicting Relevant Regulator-Gene Relationships in Localized Prostate Tumor Samples. BMC Bioinformatics. 12(1). 243–243. 15 indexed citations
5.
Woolf, Peter, et al.. (2011). vProtein: Identifying Optimal Amino Acid Complements from Plant-Based Foods. PLoS ONE. 6(4). e18836–e18836. 41 indexed citations
6.
Luo, Weijun, Michael S. Friedman, Kurt D. Hankenson, & Peter Woolf. (2011). Time series gene expression profiling and temporal regulatory pathway analysis of BMP6 induced osteoblast differentiation and mineralization. BMC Systems Biology. 5(1). 82–82. 14 indexed citations
7.
Huang, Yongsheng, Aimee K. Zaas, Arvind Rao, et al.. (2011). Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza A Infection. PLoS Genetics. 7(8). e1002234–e1002234. 143 indexed citations
8.
Boggy, Gregory & Peter Woolf. (2010). A Mechanistic Model of PCR for Accurate Quantification of Quantitative PCR Data. PLoS ONE. 5(8). e12355–e12355. 80 indexed citations
9.
Luo, Weijun & Peter Woolf. (2010). Reconstructing Transcriptional Regulatory Networks Using Three-Way Mutual Information and Bayesian Networks. Methods in molecular biology. 674. 401–418. 4 indexed citations
10.
Hodges, Andrew P., Peter Woolf, & Yongqun He. (2010). BN+1 Bayesian network expansion for identifying molecular pathway elements. Communicative & Integrative Biology. 3(6). 549–554. 5 indexed citations
11.
Hodges, Andrew P., Dongjuan Dai, Zuoshuang Xiang, et al.. (2010). Bayesian Network Expansion Identifies New ROS and Biofilm Regulators. PLoS ONE. 5(3). e9513–e9513. 18 indexed citations
12.
Kainkaryam, Raghunandan M., et al.. (2010). poolMC: Smart pooling of mRNA samples in microarray experiments. BMC Bioinformatics. 11(1). 299–299. 21 indexed citations
13.
Tenzen, Toyoaki, et al.. (2009). Using mechanistic Bayesian networks to identify downstream targets of the Sonic Hedgehog pathway. BMC Bioinformatics. 10(1). 433–433. 4 indexed citations
14.
Woolf, Peter, et al.. (2009). Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data.. PubMed. 10. 159–162. 12 indexed citations
15.
Kainkaryam, Raghunandan M. & Peter Woolf. (2008). poolHiTS: A Shifted Transversal Design based pooling strategy for high-throughput drug screening. BMC Bioinformatics. 9(1). 256–256. 16 indexed citations
16.
Ninfa, Alexander J., Nicolás Perry, Stephen Atkins, et al.. (2007). Using Two‐Component Systems and Other Bacterial Regulatory Factors for the Fabrication of Synthetic Genetic Devices. Methods in enzymology on CD-ROM/Methods in enzymology. 422. 488–512. 13 indexed citations
17.
Rosania, Gus R., Gordon M. Crippen, Peter Woolf, David States, & Kerby Shedden. (2007). A Cheminformatic Toolkit for Mining Biomedical Knowledge. Pharmaceutical Research. 24(10). 1791–1802. 17 indexed citations
18.
Woolf, Peter & Jennifer J. Linderman. (2004). An algebra of dimerization and its implications for G-protein coupled receptor signaling. Journal of Theoretical Biology. 229(2). 157–168. 25 indexed citations
19.
Woolf, Peter & Jennifer J. Linderman. (2003). Self organization of membrane proteins via dimerization. Biophysical Chemistry. 104(1). 217–227. 61 indexed citations
20.
Woolf, Peter. (2002). COMPUTATIONAL ANALYSIS OF G-PROTEIN COUPLED RECEPTOR SCREENING, DIMERIZATION, AND DESENSITIZATION. Deep Blue (University of Michigan). 1 indexed citations

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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