Paul H. Naylor

207 total papers · 2.5k total citations
104 papers, 1.9k citations indexed

About

Paul H. Naylor is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Paul H. Naylor has authored 104 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 25 papers in Epidemiology and 22 papers in Molecular Biology. Recurrent topics in Paul H. Naylor's work include Hepatitis C virus research (19 papers), Cellular Mechanics and Interactions (16 papers) and Liver Disease Diagnosis and Treatment (12 papers). Paul H. Naylor is often cited by papers focused on Hepatitis C virus research (19 papers), Cellular Mechanics and Interactions (16 papers) and Liver Disease Diagnosis and Treatment (12 papers). Paul H. Naylor collaborates with scholars based in United States, France and United Kingdom. Paul H. Naylor's co-authors include Allan L. Goldstein, Teresa L. K. Low, Gary B. Thurman, Milton G. Mutchnick, John E. McClure, A L Goldstein, Richard Weindruch, R. L. Walford, Prem S. Sarin and Jeffrey L. Rossio and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Paul H. Naylor

100 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Paul H. Naylor 596 542 323 292 273 104 1.9k
Guang Yang 508 0.9× 1.6k 3.0× 444 1.4× 300 1.0× 256 0.9× 104 3.0k
Grazyna Faure 352 0.6× 1.2k 2.2× 213 0.7× 192 0.7× 237 0.9× 76 2.4k
Michael Logan 457 0.8× 484 0.9× 207 0.6× 250 0.9× 62 0.2× 62 1.7k
Emmanuel Fenouillet 395 0.7× 789 1.5× 273 0.8× 169 0.6× 724 2.7× 84 2.1k
François Jean 384 0.6× 1.3k 2.3× 338 1.0× 612 2.1× 144 0.5× 55 2.5k
Andreas Jekle 378 0.6× 1.2k 2.2× 221 0.7× 158 0.5× 239 0.9× 43 1.8k
Yoshio Yamakawa 323 0.5× 1.3k 2.4× 226 0.7× 223 0.8× 112 0.4× 90 2.3k
Francisco Gavilanes 314 0.5× 1.1k 2.1× 531 1.6× 236 0.8× 75 0.3× 83 2.0k
Francesca Pica 497 0.8× 404 0.7× 418 1.3× 172 0.6× 68 0.2× 82 1.6k
Kirk A. Staschke 428 0.7× 997 1.8× 648 2.0× 342 1.2× 79 0.3× 48 2.0k

Countries citing papers authored by Paul H. Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Paul H. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul H. Naylor

This figure shows the co-authorship network connecting the top 25 collaborators of Paul H. Naylor. A scholar is included among the top collaborators of Paul H. Naylor 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 H. Naylor. Paul H. Naylor 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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