John Patrick Murphy
Impact in
- Epidemiology top 2%
- Autophagy in Disease and Therapy
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
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- Cancer, Hypoxia, and Metabolism 8
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- vaccines and immunoinformatics approaches 4
- Ubiquitin and proteasome pathways 3
- Co-authors
- Gygi Steven P. (15 shared papers)Jonathan L. Coloff (2 shared papers)Shashi Ashok Gujar (16 shared papers)João A. Paulo (13 shared papers)Robert A. Everley (3 shared papers)Derek R. Clements (12 shared papers)Isaac S. Harris (1 shared paper)Laura M. Shelton (1 shared paper)
- Journals
- Journal of Proteome Research (6 papers)PROTEOMICS (4 papers)Analytical Chemistry (2 papers)Molecular & Cellular Proteomics (2 papers)The FASEB Journal (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
John Patrick Murphy
39 papers receiving 3.3k citations
John Patrick Murphy's Hit Papers
Peers
Comparison fields: 5 of 139
- Epidemiology 1.2k
- Physiology 166
- Cancer Research 439
- Geriatrics and Gerontology 103
- Molecular Biology 1.6k
Countries citing papers authored by John Patrick Murphy
This map shows the geographic impact of John Patrick Murphy'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 Patrick Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Patrick Murphy more than expected).
Fields of papers citing papers by John Patrick Murphy
This network shows the impact of papers produced by John Patrick Murphy. 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 Patrick Murphy. The network helps show where John Patrick Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside John Patrick Murphy, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | 2016 | 223 | |
| 3 | 2014 | 167 | |
| 4 | 2016 | 126 | |
| 5 | 2014 | 82 | |
| 6 | 2015 | 80 | |
| 7 | 2015 | 58 | |
| 8 | 2018 | 54 | |
| 9 | 2018 | 42 | |
| 10 | 2015 | 41 | |
| 11 | 2017 | 40 | |
| 12 | 2014 | 37 | |
| 13 | 1986 | 36 | |
| 14 | 2022 | 33 | |
| 15 | 2019 | 30 | |
| 16 | 2016 | 28 | |
| 17 | 2023 | 26 | |
| 18 | 2019 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2022 | 22 |
About John Patrick Murphy
John Patrick Murphy is a scholar working on Cancer Research, Molecular Biology, Immunology, Genetics and Spectroscopy, having authored 41 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Immunotherapy and Immune Responses (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), vaccines and immunoinformatics approaches (4 papers), Virus-based gene therapy research (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Epidemiology (1.2k citations), Physiology (166 citations), Cancer Research (439 citations), Geriatrics and Gerontology (103 citations) and Molecular Biology (1.6k citations). John Patrick Murphy has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Gygi Steven P., Jonathan L. Coloff, Shashi Ashok Gujar, João A. Paulo, Robert A. Everley, Derek R. Clements, Isaac S. Harris, Laura M. Shelton, Kenjiro Kami and Craig R. Braun. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Analytical Chemistry, Molecular & Cellular Proteomics and The FASEB Journal.
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.