Max R. Proffitt

1.0k citations
53 papers · 729 · h-index 15

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and Retrovirus Studies
    • T-cell and B-cell Immunology

Papers in

    • T-cell and Retrovirus Studies 8
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 5

Max R. Proffitt

49 papers receiving 652 citations

Peers

Max R. Proffitt
Comparison fields: 5 of 94
  • Virology 102
  • Immunology 262
  • Infectious Diseases 105
  • Epidemiology 155
  • Oncology 125
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Citations per field
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Citations per year

Countries citing papers authored by Max R. Proffitt

Since Specialization
Citations

This map shows the geographic impact of Max R. Proffitt'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 Max R. Proffitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max R. Proffitt more than expected).

Fields of papers citing papers by Max R. Proffitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max R. Proffitt. 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 Max R. Proffitt. The network helps show where Max R. Proffitt may publish in the future.

Co-authors

The 25 scholars most cited alongside Max R. Proffitt, 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 Max R. Proffitt Line = papers co-authored together Max R. Proffitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989101
2 198576
3 198857
4 199152
5 197332
6 198329
7 199527
8 198223
9 199321
10 197320
11 198419
12
Clonal diversity of the Kirsten-ras oncogene during tumor progression in athymic nude mice: mechanisms of amplification and rearrangement.
198817
13 198315
14 199615
15 198614
16 197511
17 197211
18 197511
19 197510
20 196910

About Max R. Proffitt

Max R. Proffitt is a scholar working on Immunology, Epidemiology, Infectious Diseases, Oncology and Virology, having authored 53 papers that have together received 729 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (8 papers), Immune Cell Function and Interaction (8 papers), HIV Research and Treatment (8 papers), Virus-based gene therapy research (6 papers), HIV/AIDS Research and Interventions (6 papers), Immunotherapy and Immune Responses (5 papers), Polyomavirus and related diseases (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Virology (102 citations), Immunology (262 citations), Infectious Diseases (105 citations), Epidemiology (155 citations) and Oncology (125 citations). Max R. Proffitt has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Paul H. Black, Belinda Yen‐Lieberman, Martin Hirsch, Herbert Wiedemann, Andrew J. Fishleder, Kerry H. Levin, Raymond Tubbs, Melinda L. Estes, Claudio Fiocchi and Kenneth R. Youngman. Their work appears in journals such as International Journal of Cancer, The Journal of Immunology, Cellular Immunology, Science and Experimental Parasitology.

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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