Philip M. Murphy
Impact in
- Virology top 0.05%
- HIV Research and Treatment
- Immunology top 0.02%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
- Virology 41
- HIV Research and Treatment 40
- Immunology 168
- Immune Cell Function and Interaction 54
- Immune Response and Inflammation 39
- T-cell and B-cell Immunology 38
- Immunotherapy and Immune Responses 38
- Co-authors
- Ji‐Liang GaoEdward A. BergerH. Lee TiffanyChristophe CombadièreJoshua Μ. FarberSunil K. AhujaDavid H. McDermottGhalib Alkhatib
- Journals
- The Journal of Immunology (31 papers)Journal of Biological Chemistry (31 papers)Blood (13 papers)The Journal of Experimental Medicine (10 papers)Journal of Leukocyte Biology (7 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Philip M. Murphy
264 papers receiving 26.6k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Virology 6.2k
- Immunology 15.1k
- Oncology 9.1k
- Immunology and Allergy 2.0k
- Microbiology 1.4k
Countries citing papers authored by Philip M. Murphy
This map shows the geographic impact of Philip M. 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 Philip M. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip M. Murphy more than expected).
Fields of papers citing papers by Philip M. Murphy
This network shows the impact of papers produced by Philip M. 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 Philip M. Murphy. The network helps show where Philip M. Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip M. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 22 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 15 | |
| 7 | 2019 | 57 | |
| 8 | 2016 | 64 | |
| 9 | 2008 | 91 | |
| 10 | 2007 | 49 | |
| 11 | 2004 | 89 | |
| 12 | 2003 | 218 | |
| 13 | 2003 | 28 | |
| 14 | Implementing Computers in a Reading Classroom | 2003 | 2 |
| 15 | 2003 | 89 | |
| 16 | 2003 | 64 | |
| 17 | 2001 | 143 | |
| 18 | 2001 | 30 | |
| 19 | 2000 | 99 | |
| 20 | 2000 | 135 |
About Philip M. Murphy
Philip M. Murphy is a scholar working on Virology, Immunology, Immunology and Allergy, Oncology and Microbiology, having authored 273 papers that have together received 27.2k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (100 papers), Immune Cell Function and Interaction (54 papers), HIV Research and Treatment (40 papers), Immune Response and Inflammation (39 papers), T-cell and B-cell Immunology (38 papers), Immunotherapy and Immune Responses (38 papers), S100 Proteins and Annexins (30 papers) and Antimicrobial Peptides and Activities (26 papers). The work is most often cited by research in Virology (6.2k citations), Immunology (15.1k citations), Oncology (9.1k citations), Immunology and Allergy (2.0k citations) and Microbiology (1.4k citations). Philip M. Murphy has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Ji‐Liang Gao, Edward A. Berger, H. Lee Tiffany, Christophe Combadière, Joshua Μ. Farber, Sunil K. Ahuja, David H. McDermott, Ghalib Alkhatib, Paul E. Kennedy and Yu Feng. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Blood, The Journal of Experimental Medicine and Journal of Leukocyte 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.