Michael S. Bennett

1.4k citations
30 papers · 1.1k · h-index 18

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 3
    • Influenza Virus Research Studies 4

Michael S. Bennett

28 papers receiving 1.1k citations

Peers

Michael S. Bennett
Comparison fields: 5 of 99
  • Virology 181
  • Immunology 643
  • Agronomy and Crop Science 120
  • Epidemiology 358
  • Hematology 106
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Michael S. Bennett relative to Peter Wilkinson United States Peter Wilkinson's profile →
Citations per field
00.5×1.5×2.4×
Peter Wilkinson · 1×
Citations per year

Countries citing papers authored by Michael S. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Bennett. 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 Michael S. Bennett. The network helps show where Michael S. Bennett may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014261
2 2002105
3 199289
4 201763
5 200262
6 200760
7 200154
8 199252
9 200648
10 200946
11 200834
12 200430
13 199527
14 201026
15
Counterdeception Principles and Applications for National Security
200724
16 199523
17 201520
18 199017
19 201310
20
Feline and canine infectious diseases.
19996

About Michael S. Bennett

Michael S. Bennett is a scholar working on Immunology, Epidemiology, Molecular Biology, Virology and Oncology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), HIV Research and Treatment (6 papers), T-cell and B-cell Immunology (6 papers), Influenza Virus Research Studies (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Immunotherapy and Immune Responses (3 papers), Virus-based gene therapy research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Virology (181 citations), Immunology (643 citations), Agronomy and Crop Science (120 citations), Epidemiology (358 citations) and Hematology (106 citations). Michael S. Bennett has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include William J. Murphy, Otto O. Yang, Hwee L. Ng, Dan L. Longo, Ayub Ali, Janko Nikolich‐Žugich, Byung Park, Jeffrey Kaye, Vesna Pulko and Jennifer L. Uhrlaub. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Blood, Journal of Leukocyte Biology and ImmunoHorizons.

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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