J. Patrick Murphy
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Metabolomics and Mass Spectrometry Studies
- Hedgehog Signaling Pathway Studies
Papers in
-
- Ubiquitin and proteasome pathways 3
- vaccines and immunoinformatics approaches 3
- Genetics 9
- Virus-based gene therapy research 4
- Co-authors
- Steven P. Gygi (15 shared papers)Jonathan L. Coloff (2 shared papers)João A. Paulo (13 shared papers)Shashi Gujar (15 shared papers)Robert A. Everley (3 shared papers)Derek R. Clements (12 shared papers)Laura M. Shelton (1 shared paper)Laura M. Selfors (1 shared paper)
- Journals
- Journal of Proteome Research (6 papers)PROTEOMICS (3 papers)Molecular & Cellular Proteomics (2 papers)Analytical Chemistry (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
J. Patrick Murphy
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 304
- Molecular Biology 821
- Geriatrics and Gerontology 35
- Genetics 291
- Oncology 188
Countries citing papers authored by J. Patrick Murphy
This map shows the geographic impact of J. 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 J. 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 J. Patrick Murphy more than expected).
Fields of papers citing papers by J. Patrick Murphy
This network shows the impact of papers produced by J. 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 J. Patrick Murphy. The network helps show where J. Patrick Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 | 2016 | 214 | |
| 2 | 2014 | 165 | |
| 3 | 2016 | 120 | |
| 4 | 2014 | 80 | |
| 5 | 2015 | 78 | |
| 6 | 2015 | 54 | |
| 7 | 2018 | 49 | |
| 8 | 2015 | 41 | |
| 9 | 2018 | 40 | |
| 10 | 2017 | 38 | |
| 11 | 1986 | 37 | |
| 12 | 2014 | 35 | |
| 13 | 2016 | 28 | |
| 14 | 2022 | 27 | |
| 15 | 2019 | 25 | |
| 16 | 2019 | 24 | |
| 17 | 2019 | 23 | |
| 18 | 2022 | 19 | |
| 19 | 2023 | 18 | |
| 20 | 2010 | 16 |
About J. Patrick Murphy
J. Patrick Murphy is a scholar working on Molecular Biology, Genetics, Cancer Research, Immunology and Oncology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Immunotherapy and Immune Responses (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Virus-based gene therapy research (4 papers), Ubiquitin and proteasome pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Cancer Research (304 citations), Molecular Biology (821 citations), Geriatrics and Gerontology (35 citations), Genetics (291 citations) and Oncology (188 citations). J. Patrick Murphy has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Steven P. Gygi, Jonathan L. Coloff, João A. Paulo, Shashi Gujar, Robert A. Everley, Derek R. Clements, Laura M. Shelton, Laura M. Selfors, Craig R. Braun and Joan S. Brugge. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Molecular & Cellular Proteomics, Analytical Chemistry and Cold Spring Harbor Symposia on Quantitative 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.