William P. Tansey

8.6k citations
98 papers · 6.4k indexed · 2 hit papers · h-index 39
Topics
Ubiquitin and proteasome pathways (41 papers)Genomics and Chromatin Dynamics (27 papers)Protein Degradation and Inhibitors (19 papers)

In The Last Decade

William P. Tansey

96 papers receiving 6.3k citations

Hit Papers

How the ubiquitin–proteasome system controls transcription200320262010201820032004200400600

Peers

William P. Tansey
Comparison fields: 5 of 116
  • Molecular Biology 5.4k
  • Oncology 1.4k
  • Cell Biology 699
  • Genetics 677
  • Cancer Research 567
Replace Siavash K. Kurdistani with:
Siavash K. Kurdistani United States
Dennis W. Stacey United States
Michelle Barton United States
Didier Trouche France
Jill M. Lahti United States
Michael F. Moran Canada
Keith Harshman Switzerland
Amir Orian Israel
El Bachir Affar Canada
Sebastian Nijman Austria
William P. Tansey relative to Siavash K. Kurdistani United States Siavash K. Kurdistani's profile →
Citations per field
00.5×1.5×1.9×
Siavash K. Kurdistani · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 4
4 7
5 6
6 10
7 58
8 36
9 4
10 45
11 8
12 38
13 19
14 91
15
Degradation of c-Myc by WP1130 Through Activation of a Novel Proteasomal-Dependent Pathway
1
16 29
17 143
18 21
19 425
20 64

About William P. Tansey

William P. Tansey is a scholar working on Molecular Biology, Oncology and Genetics, having authored 98 papers that have together received 6.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (41 papers), Genomics and Chromatin Dynamics (27 papers) and Protein Degradation and Inhibitors (19 papers). The work is most often cited by research in Molecular Biology (5.4k citations), Oncology (1.4k citations) and Cell Biology (699 citations). William P. Tansey has collaborated with scholars based in United States, Australia and France. Frequent 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 Joshua G. Chenoweth. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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