Tom Mitchell

2.6k citations
11 papers · 2.3k · 1 hit paper · h-index 11

Impact in

  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • interferon and immune responses
  • Virology top 10%
    • HIV Research and Treatment

Papers in

Tom Mitchell

11 papers receiving 2.3k citations

Tom Mitchell's Hit Papers

Type I Interferons Keep Activated T Cells Alive 1999 · 649 citations
6490+9+18Years since publication200400600

Peers

Tom Mitchell
Comparison fields: 5 of 64
  • Immunology 1.1k
  • Virology 53
  • Rheumatology 81
  • Oncology 90
  • Molecular Biology 236
Replace Daniel Francis Ditoro with:
Daniel Francis Ditoro United States
Irene Puga United States
Selin Somersan United States
Rosemary K. Lees Switzerland
André Ballesteros‐Tato United States
Rolien de Jong Netherlands
Kristina T. Lu United States
S. Brian Wilson United States
Meghan A. Koch United States
Miren Lorea Baroja Canada
Tom Mitchell relative to Daniel Francis Ditoro United States Daniel Francis Ditoro's profile →
Citations per field
00.5×1.7×
Daniel Francis Ditoro · 1×
Citations per year

Countries citing papers authored by Tom Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Tom Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Mitchell. 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 Tom Mitchell. The network helps show where Tom Mitchell may publish in the future.

Co-authors

The 15 scholars most cited alongside Tom Mitchell, 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 Tom Mitchell Line = papers co-authored together Tom Mitchell links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Type I Interferons Keep Activated T Cells Alive
Hit paper breakdown →
1999649
2 1999421
3 2000369
4 2000221
5 1999201
6 1999139
7 200088
8 199878
9 199977
10 200046
11 200014

About Tom Mitchell

Tom Mitchell is a scholar working on Immunology, Parasitology, Oncology, Molecular Biology and Nuclear Energy and Engineering, having authored 11 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Cytokine Signaling Pathways and Interactions (1 paper), Cell death mechanisms and regulation (1 paper) and Parasitic Infections and Diagnostics (1 paper). The work is most often cited by research in Immunology (1.1k citations), Virology (53 citations), Rheumatology (81 citations), Oncology (90 citations) and Molecular Biology (236 citations). Tom Mitchell has collaborated with scholars based in United States. Frequent co-authors include John W. Kappler, Philippa Marrack, David A. Hildeman, Brian C. Schaefer, T. Kent Teague, Jeremy Bender, Ross M. Kedl, William A. Rees, Brian J. Day and Peter M. Henson. Their work appears in journals such as The Journal of Experimental Medicine, Infection and Immunity, Immunological Reviews, Nature Immunology and Current Opinion in Immunology.

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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