Phil Markham
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 6
- HIV Research and Treatment 6
-
- T-cell and Retrovirus Studies 4
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
- Co-authors
- Robert C. Gallo (2 shared papers)Flossie Wong‐Staal (1 shared paper)S. Zaki Salahuddin (1 shared paper)Wade P. Parks (1 shared paper)Robert R. Redfield (1 shared paper)Beatrice H. Hahn (1 shared paper)Maria E. Taylor (1 shared paper)George M. Shaw (1 shared paper)
- Journals
- Blood (3 papers)Virology (2 papers)AIDS Research and Human Retroviruses (1 paper)Journal of Virology (1 paper)Science (1 paper)
- Partner nations
- United StatesFranceMalaysia
In The Last Decade
Phil Markham
10 papers receiving 742 citations
Phil Markham's Hit Papers
Peers
Comparison fields: 5 of 66
- Virology 522
- Infectious Diseases 291
- Immunology 276
- Agronomy and Crop Science 80
- Epidemiology 219
Countries citing papers authored by Phil Markham
This map shows the geographic impact of Phil Markham'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 Phil Markham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Markham more than expected).
Fields of papers citing papers by Phil Markham
This network shows the impact of papers produced by Phil Markham. 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 Phil Markham. The network helps show where Phil Markham may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Markham, 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 | Genetic Variation in HTLV-III/LAV Over Time in Patients with AIDS or at Risk for AIDS Hit paper breakdown → | 1986 | 523 |
| 2 | 2005 | 86 | |
| 3 | 2005 | 76 | |
| 4 | 2003 | 37 | |
| 5 | 1999 | 22 | |
| 6 | 2003 | 21 | |
| 7 | 1992 | 14 | |
| 8 | 2001 | 11 | |
| 9 | 2000 | 6 | |
| 10 | 1999 | 3 |
About Phil Markham
Phil Markham is a scholar working on Virology, Immunology, Dermatology, Epidemiology and Oncology, having authored 10 papers that have together received 799 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), T-cell and Retrovirus Studies (4 papers), Viral-associated cancers and disorders (3 papers), Immunotherapy and Immune Responses (3 papers), Herpesvirus Infections and Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Immune Cell Function and Interaction (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). The work is most often cited by research in Virology (522 citations), Infectious Diseases (291 citations), Immunology (276 citations), Agronomy and Crop Science (80 citations) and Epidemiology (219 citations). Phil Markham has collaborated with scholars based in United States, France and Malaysia. Frequent co-authors include Robert C. Gallo, Flossie Wong‐Staal, S. Zaki Salahuddin, Wade P. Parks, Robert R. Redfield, Beatrice H. Hahn, Maria E. Taylor, George M. Shaw, Elizabeth S. Parks and David J. Venzon. Their work appears in journals such as Blood, Virology, AIDS Research and Human Retroviruses, Journal of Virology and Science.
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.