John B. Mumm

3.3k citations
28 papers · 2.1k indexed · h-index 18
  • Immunology top 2%
    • Immunotherapy and Immune Responses 16
    • Immune Cell Function and Interaction 7
    • Immune cells in cancer 4
    • T-cell and B-cell Immunology 4
    • interferon and immune responses 3
  • Hepatology top 5%
  • Oncology top 5%
    • CAR-T cell therapy research 10
    • Cancer Immunotherapy and Biomarkers 8
    • Cytokine Signaling Pathways and Interactions 8
  • Genetics top 5%

John B. Mumm

28 papers receiving 2.0k citations

Peers

John B. Mumm
Comparison fields: 5 of 90
  • Immunology 1.2k
  • Hepatology 270
  • Oncology 882
  • Biotechnology 150
  • Genetics 472
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Citations per year

Countries citing papers authored by John B. Mumm

Since Specialization
Citations

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

Fields of papers citing papers by John B. Mumm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John B. Mumm. 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 John B. Mumm. The network helps show where John B. Mumm may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20167
2 20169
3 20167
4 201525
5 201344
6
The surprising role of IL-10 as a potent inducer of IFN-g-mediated CD8 þ T cell cytotoxicity
20132
7 2012228
8 20126
9 20104
10 2009181
11 200827
12 200617
13 200556
14 200489
15 2004111
16
Negative association of melanoma differentiation-associated gene (mda-7) and inducible nitric oxide synthase (iNOS) in human melanoma: MDA-7 regulates iNOS expression in melanoma cells.
200338
17
Melanoma differentiation-associated gene 7/interleukin (IL)-24 is a novel ligand that regulates angiogenesis via the IL-22 receptor.
2003160
18 2002218
19 200140
20 199619

About John B. Mumm

John B. Mumm is a scholar working on Immunology, Oncology, Biological Psychiatry, Behavioral Neuroscience and Neurology, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), CAR-T cell therapy research (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), Immune Cell Function and Interaction (7 papers), Immune cells in cancer (4 papers), T-cell and B-cell Immunology (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology (1.2k citations), Hepatology (270 citations), Oncology (882 citations), Biotechnology (150 citations) and Genetics (472 citations). John B. Mumm has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Martin Oft, Elizabeth A. Grimm, Sunil Chada, Abner M. Mhashilkar, Sühendan Ekmekçioglu, Terrill K. McClanahan, Ivan H. Chan, Rajagopal Ramesh, Harry B. Greenberg and Judie Boisvert. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Oncology, Molecular Therapy, Journal of Interferon & Cytokine Research and OncoImmunology.

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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