John E. Burke

15.2k citations
133 papers · 11.6k · 2 hit papers · h-index 49

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Protein Structure and Dynamics
    • Protein Kinase Regulation and GTPase Signaling
    • Lipid metabolism and biosynthesis

Papers in

    • Cellular transport and secretion 20
    • PI3K/AKT/mTOR signaling in cancer 35
    • Protein Kinase Regulation and GTPase Signaling 8
    • Sphingolipid Metabolism and Signaling 3
    • Glycosylation and Glycoproteins Research 3

John E. Burke

128 papers receiving 11.4k citations

John E. Burke's Hit Papers

Accurate prediction of protein structures and interactions using a three-track neural network 2021 · 3.9k citations
3.9k0+2+4Years since publication10002.0k3.0k

Peers

John E. Burke
Comparison fields: 5 of 128
  • Molecular Biology 4.1k
  • Biochemistry 188
  • Spectroscopy 574
  • Cell Biology 478
  • Structural Biology 80
Replace Liang Tong with:
Liang Tong United States
Anne‐Claude Gavin Germany
Mikako Shirouzu Japan
Lisa N. Kinch United States
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Miles Congreve United Kingdom
Zachary Wu United States
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Agata Laydon United Kingdom
Jimin Pei United States
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Citations per field
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Citations per year

Countries citing papers authored by John E. Burke

Since Specialization
Citations

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

Fields of papers citing papers by John E. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John E. Burke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John E. Burke Line = papers co-authored together John E. Burke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Accurate prediction of protein structures and interactions using a three-track neural network
Hit paper breakdown →
20213910
2 2008748
3
Recommendations for performing, interpreting and reporting hydrogen deuterium exchange mass spectrometry (HDX-MS) experiments
Hit paper breakdown →
2019551
4 2008337
5 2012248
6 2011247
7 2016225
8 2018209
9 2015205
10 2015177
11 2020158
12 2013138
13 2017131
14 2012128
15 2016127
16 2014125
17 2018123
18 2013112
19 2022109
20 2017100

About John E. Burke

John E. Burke is a scholar working on Cell Biology, Molecular Biology, Spectroscopy, Biochemistry and Parasitology, having authored 133 papers that have together received 11.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (35 papers), Cellular transport and secretion (20 papers), Mass Spectrometry Techniques and Applications (10 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Lipid metabolism and biosynthesis (6 papers), Sphingolipid Metabolism and Signaling (3 papers), Toxoplasma gondii Research Studies (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Biochemistry (188 citations), Spectroscopy (574 citations), Cell Biology (478 citations) and Structural Biology (80 citations). John E. Burke has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Edward A. Dennis, Meredith L. Jenkins, Oscar Vadas, Glenn Robert Masson, Olga Perišić, Gerald R. V. Hammond, Gillian L. Dornan, Jacob Alec McPhail, Alex Berndt and Kevan M. Shokat. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Proceedings of the National Academy of Sciences, Structure and eLife.

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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