John R. Yates

148.2k total citations · 39 hit papers
995 papers, 108.9k citations indexed

About

John R. Yates is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, John R. Yates has authored 995 papers receiving a total of 108.9k indexed citations (citations by other indexed papers that have themselves been cited), including 742 papers in Molecular Biology, 251 papers in Spectroscopy and 207 papers in Cell Biology. Recurrent topics in John R. Yates's work include Advanced Proteomics Techniques and Applications (224 papers), Mass Spectrometry Techniques and Applications (186 papers) and Ubiquitin and proteasome pathways (91 papers). John R. Yates is often cited by papers focused on Advanced Proteomics Techniques and Applications (224 papers), Mass Spectrometry Techniques and Applications (186 papers) and Ubiquitin and proteasome pathways (91 papers). John R. Yates collaborates with scholars based in United States, Brazil and United Kingdom. John R. Yates's co-authors include Jimmy K. Eng, Michael P. Washburn, Ashley L. McCormack, Dirk Wolters, W. Hayes McDonald, David Schieltz, Rovshan G. Sadygov, David L. Tabb, Christine C. Wu and Hongbin Liu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John R. Yates

977 papers receiving 107.1k citations

Hit Papers

An approach to correlate tandem mass spectral data of pep... 1986 2026 1999 2012 1994 2001 2004 2013 2003 1000 2.0k 3.0k 4.0k 5.0k

Peers

John R. Yates
Comparison fields: 5 of 209
  • Molecular Biology 78.4k
  • Spectroscopy 25.9k
  • Cell Biology 17.4k
  • Plant Science 7.6k
  • Oncology 7.2k
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Citations per field, relative to John R. Yates
John R. Yates · 1×
Citations per year, relative to John R. Yates
John R. Yates · 1×

Countries citing papers authored by John R. Yates

Since Specialization
Citations

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

Fields of papers citing papers by John R. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Yates. 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 John R. Yates. The network helps show where John R. Yates may publish in the future.

Co-authorship network of co-authors of John R. Yates

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Yates. A scholar is included among the top collaborators of John R. Yates 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 John R. Yates. John R. Yates 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
# Work Indexed citations
1 3
2 218
3 14
4 46
5 160
6 48
7 141
8 88
9 315
10 387
11 491
12 49
13 266
14 119
15 214
16 118
17 191
18
Acetylation by Tip60 Is Required for Selective Histone Variant Exchange at DNA Lesions breakdown →
539
19 411
20
Role of Rpn11 Metalloprotease in Deubiquitination and Degradation by the 26 S Proteasome breakdown →
810

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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