John R. Yates

1.9k citations
8 papers · 1.4k indexed · 2 hit papers · h-index 7
Topics
Advanced Proteomics Techniques and Applications (2 papers)Genetic and Kidney Cyst Diseases (2 papers)Protist diversity and phylogeny (2 papers)
Partner nations
United StatesSpainItaly

In The Last Decade

John R. Yates

7 papers receiving 1.4k citations

Hit Papers

The biological impact of mass-spectrometry-based proteomics200720262013201920072013100200300400500

Peers

John R. Yates
Comparison fields: 5 of 107
  • Molecular Biology 936
  • Cell Biology 407
  • Spectroscopy 358
  • Epidemiology 179
  • Genetics 112
Replace Eric S. Witze with:
Eric S. Witze United States
Aaron M. Robitaille United States
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Maximiliane Hilger Germany
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Andrew Alban United Kingdom
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Symeon Siniossoglou United Kingdom
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John R. Yates relative to Eric S. Witze United States Eric S. Witze's profile →
Citations per field
00.5×1.5×
Eric S. Witze · 1×
Citations per year

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

8 of 8 papers shown
#WorkIndexed citations
1 0
2 37
3 143
4
Stress-Independent Activation of XBP1s and/or ATF6 Reveals Three Functionally Diverse ER Proteostasis Environmentsbreakdown →
422
5 25
6
The biological impact of mass-spectrometry-based proteomicsbreakdown →
549
7 154
8 84

About John R. Yates

John R. Yates is a scholar working on Aging, Cell Biology and Spectroscopy, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Aging (95 citations), Cell Biology (407 citations) and Spectroscopy (358 citations). John R. Yates has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Gabriel M. Simon, Benjamin F. Cravatt, James J. Moresco, Joseph C. Genereux, Matthew D. Shoulders, Lisa M. Ryno, Patricia G. Tu, Andrew I. Su, R. Luke Wiseman and Chunlei Wu. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Cell Biology.

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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