William P. Tansey

174 total papers · 8.5k total citations
98 papers, 6.3k citations indexed

About

William P. Tansey is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, William P. Tansey has authored 98 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 18 papers in Oncology and 14 papers in Genetics. Recurrent topics in William P. Tansey's work include Ubiquitin and proteasome pathways (41 papers), Genomics and Chromatin Dynamics (27 papers) and Protein Degradation and Inhibitors (19 papers). William P. Tansey is often cited by papers focused on Ubiquitin and proteasome pathways (41 papers), Genomics and Chromatin Dynamics (27 papers) and Protein Degradation and Inhibitors (19 papers). William P. Tansey collaborates with scholars based in United States, Australia and France. William P. Tansey's co-authors include Masafumi Muratani, Simone E Salghetti, Andreas Herbst, So Young Kim, Fuqiang Geng, Elena Ezhkova, G. Collins, Lance R. Thomas, Winship Herr and Amy A. Caudy and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

William P. Tansey

96 papers receiving 6.3k citations

Hit Papers

How the ubiquitin–proteas... 2003 2026 2010 2018 2003 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
William P. Tansey 5.4k 1.4k 691 677 566 98 6.3k
Dennis W. Stacey 4.5k 0.8× 1.8k 1.3× 919 1.3× 705 1.0× 514 0.9× 96 5.9k
Klaus P. Hoeflich 4.8k 0.9× 2.0k 1.5× 569 0.8× 677 1.0× 774 1.4× 62 6.8k
Grant S. Stewart 5.3k 1.0× 2.3k 1.7× 586 0.8× 748 1.1× 1.0k 1.8× 87 6.2k
Carla Grandori 5.1k 0.9× 1.7k 1.2× 551 0.8× 563 0.8× 1.1k 1.9× 63 6.4k
Jill M. Lahti 4.3k 0.8× 1.8k 1.3× 877 1.3× 479 0.7× 927 1.6× 88 5.9k
Philippe Pasero 6.4k 1.2× 1.1k 0.8× 1.1k 1.5× 795 1.2× 732 1.3× 119 6.9k
Shigeo Sato 4.4k 0.8× 1.9k 1.4× 521 0.8× 453 0.7× 1.0k 1.9× 71 6.3k
Kiyotsugu Yoshida 4.0k 0.7× 1.5k 1.1× 438 0.6× 430 0.6× 858 1.5× 108 5.4k
Akihiro Kurimasa 4.8k 0.9× 1.6k 1.2× 418 0.6× 465 0.7× 1.2k 2.1× 90 6.3k
Jenő Gyuris 4.0k 0.7× 1.6k 1.2× 835 1.2× 541 0.8× 472 0.8× 56 5.5k

Countries citing papers authored by William P. Tansey

Since Specialization
Citations

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

Fields of papers citing papers by William P. Tansey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William P. Tansey. 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 William P. Tansey. The network helps show where William P. Tansey may publish in the future.

Co-authorship network of co-authors of William P. Tansey

This figure shows the co-authorship network connecting the top 25 collaborators of William P. Tansey. A scholar is included among the top collaborators of William P. Tansey 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 William P. Tansey. William P. Tansey 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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