Paul Pavlidis

262 total papers · 16.9k total citations
152 papers, 11.7k citations indexed

About

Paul Pavlidis is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Paul Pavlidis has authored 152 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 26 papers in Genetics and 19 papers in Cognitive Neuroscience. Recurrent topics in Paul Pavlidis's work include Bioinformatics and Genomic Networks (44 papers), Gene expression and cancer classification (35 papers) and Biomedical Text Mining and Ontologies (15 papers). Paul Pavlidis is often cited by papers focused on Bioinformatics and Genomic Networks (44 papers), Gene expression and cancer classification (35 papers) and Biomedical Text Mining and Ontologies (15 papers). Paul Pavlidis collaborates with scholars based in Canada, United States and United Kingdom. Paul Pavlidis's co-authors include William Stafford Noble, Jesse Gillis, Jie Qin, Homin K. Lee, Meeta Mistry, Amy K Hsu, Christopher M. Overall, Nikolaus Fortelny, Daniel V. Madison and Etienne Sibille and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Paul Pavlidis

150 papers receiving 11.5k citations

Hit Papers

Coexpression Analysis of ... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul Pavlidis 7.5k 1.9k 1.7k 1.1k 1.0k 152 11.7k
Xinyu Zhao 6.8k 0.9× 2.6k 1.3× 2.3k 1.4× 1.6k 1.5× 1.2k 1.2× 321 12.0k
Julie R. Korenberg 5.5k 0.7× 2.5k 1.3× 1.4k 0.8× 508 0.5× 918 0.9× 166 10.5k
Jonathan Pevsner 5.2k 0.7× 2.2k 1.1× 1.4k 0.9× 787 0.7× 708 0.7× 120 9.6k
Gabriel G. Haddad 5.0k 0.7× 1.5k 0.8× 3.1k 1.9× 1.4k 1.3× 892 0.9× 266 11.9k
Seth Blackshaw 8.6k 1.2× 953 0.5× 2.8k 1.7× 1.2k 1.1× 602 0.6× 213 12.9k
Norma J. Nowak 5.1k 0.7× 2.6k 1.4× 946 0.6× 1.3k 1.2× 612 0.6× 140 8.4k
David B. Jaffe 7.8k 1.0× 2.5k 1.3× 2.6k 1.6× 1.0k 1.0× 1.5k 1.5× 86 11.9k
Gong Chen 6.5k 0.9× 1.3k 0.7× 4.0k 2.4× 781 0.7× 1.0k 1.0× 339 12.2k
Chad A. Shaw 7.7k 1.0× 5.7k 2.9× 1.2k 0.7× 1.5k 1.4× 1.0k 1.0× 193 13.9k
James Eberwine 5.9k 0.8× 1.3k 0.7× 2.5k 1.5× 592 0.5× 603 0.6× 138 8.8k

Countries citing papers authored by Paul Pavlidis

Since Specialization
Citations

This map shows the geographic impact of Paul Pavlidis'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 Paul Pavlidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Pavlidis more than expected).

Fields of papers citing papers by Paul Pavlidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Pavlidis. 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 Paul Pavlidis. The network helps show where Paul Pavlidis may publish in the future.

Co-authorship network of co-authors of Paul Pavlidis

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Pavlidis. A scholar is included among the top collaborators of Paul Pavlidis 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 Paul Pavlidis. Paul Pavlidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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