Phil Markham

884 citations
8 papers · 672 indexed · 1 hit paper · h-index 6

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 4
    • T-cell and Retrovirus Studies 4
    • Immunotherapy and Immune Responses 3

Phil Markham

8 papers receiving 642 citations

Hit Papers

Genetic Variation in HTLV-III/LAV Over Time in Patients with AIDS or at Risk for AIDS 1986 · 478 citations
4781986202619992012100200300400

Peers

Phil Markham
Comparison fields: 5 of 64
  • Virology 438
  • Infectious Diseases 264
  • Immunology 243
  • Agronomy and Crop Science 65
  • Epidemiology 179
Replace George Dapolito with:
George Dapolito United States
Innocent Mboudjeka United States
B. J. Potts United States
K Fargnoli United States
W. Gerard Robey United States
JI Mullins United States
Jim Stott United Kingdom
E Pratt-Lowe United States
T. Corcoran United Kingdom
Mike Piatak United States
Phil Markham relative to George Dapolito United States George Dapolito's profile →
Citations per field
00.5×1.5×
George Dapolito · 1×
Citations per year

Countries citing papers authored by Phil Markham

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Phil Markham Line = papers co-authored together Phil Markham links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Genetic Variation in HTLV-III/LAV Over Time in Patients with AIDS or at Risk for AIDS
Hit paper breakdown →
1986478
2 200573
3 200570
4 200321
5 199915
6 20017
7 20005
8 19993

About Phil Markham

Phil Markham is a scholar working on Virology, Immunology, Dermatology, Oncology and Agronomy and Crop Science, having authored 8 papers that have together received 672 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), T-cell and Retrovirus Studies (4 papers), Viral-associated cancers and disorders (3 papers), Immunotherapy and Immune Responses (3 papers), Cutaneous lymphoproliferative disorders research (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Animal Disease Management and Epidemiology (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Virology (438 citations), Infectious Diseases (264 citations), Immunology (243 citations), Agronomy and Crop Science (65 citations) and Epidemiology (179 citations). Phil Markham has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include S. Zaki Salahuddin, Elizabeth S. Parks, Wade P. Parks, Robert R. Redfield, Flossie Wong‐Staal, George M. Shaw, Maria E. Taylor, Robert C. Gallo, Beatrice H. Hahn and David Venzon. Their work appears in journals such as Blood, Virology, Science, Journal of Virology and Journal of Investigative Dermatology.

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.

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