John E. Burke
Impact in
- Molecular Biology top 0.5%
- Protein Structure and Dynamics
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 46
- Protein Kinase Regulation and GTPase Signaling 29
- Sphingolipid Metabolism and Signaling 7
- Protein Structure and Dynamics 7
- Cell Biology 26
- Cellular transport and secretion 26
- Co-authors
- Edward A. Dennis (10 shared papers)Meredith L. Jenkins (38 shared papers)Oscar Vadas (10 shared papers)Glenn Robert Masson (12 shared papers)Olga Perišić (8 shared papers)Gerald R. V. Hammond (2 shared papers)Gillian L. Dornan (9 shared papers)Jacob Alec McPhail (12 shared papers)
- Journals
- Journal of Biological Chemistry (17 papers)Nature Communications (11 papers)Proceedings of the National Academy of Sciences (10 papers)Structure (8 papers)eLife (6 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
John E. Burke
128 papers receiving 11.4k citations
John E. Burke's Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 6.2k
- Biochemistry 469
- Cell Biology 823
- Spectroscopy 786
- Structural Biology 108
Countries citing papers authored by John E. Burke
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
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.
All Works
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 → | 2021 | 3910 |
| 2 | Phospholipase A2 structure/function, mechanism, and signaling Hit paper breakdown → | 2008 | 748 |
| 3 | Recommendations for performing, interpreting and reporting hydrogen deuterium exchange mass spectrometry (HDX-MS) experiments Hit paper breakdown → | 2019 | 551 |
| 4 | 2008 | 337 | |
| 5 | 2012 | 248 | |
| 6 | 2011 | 247 | |
| 7 | 2016 | 225 | |
| 8 | 2018 | 209 | |
| 9 | 2015 | 205 | |
| 10 | 2015 | 177 | |
| 11 | 2020 | 158 | |
| 12 | 2013 | 138 | |
| 13 | 2017 | 131 | |
| 14 | 2012 | 128 | |
| 15 | 2016 | 127 | |
| 16 | 2014 | 125 | |
| 17 | 2018 | 123 | |
| 18 | 2013 | 112 | |
| 19 | 2022 | 109 | |
| 20 | 2017 | 100 |
About John E. Burke
John E. Burke is a scholar working on Molecular Biology, Cell 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 (46 papers), Protein Kinase Regulation and GTPase Signaling (29 papers), Cellular transport and secretion (26 papers), Mass Spectrometry Techniques and Applications (18 papers), Sphingolipid Metabolism and Signaling (7 papers), Lipid metabolism and biosynthesis (7 papers), Protein Structure and Dynamics (7 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Molecular Biology (6.2k citations), Biochemistry (469 citations), Cell Biology (823 citations), Spectroscopy (786 citations) and Structural Biology (108 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.