Matthew F. Krummel

42.3k citations
166 papers · 28.1k · 17 hit papers · h-index 66

Impact in

  • Immunology top 0.02%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways
  • Oncology top 0.05%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 69
    • T-cell and B-cell Immunology 66
    • Immune Cell Function and Interaction 65
    • Immune cells in cancer 24
    • Immune Response and Inflammation 10
    • Cancer Immunotherapy and Biomarkers 30
    • CAR-T cell therapy research 19

Matthew F. Krummel

158 papers receiving 27.7k citations

Matthew F. Krummel's Hit Papers

Spatiotemporal co-dependency between macrophages and exhausted CD8+ T cells in cancer 2022 · 210 citations
2100+10+20Years since publication10002.0k3.0k4.0k

Peers

Matthew F. Krummel
Comparison fields: 5 of 162
  • Immunology 16.9k
  • Oncology 10.3k
  • Immunology and Allergy 929
  • Cancer Research 1.6k
  • Molecular Biology 6.0k
Replace Mikaël J. Pittet with:
Mikaël J. Pittet United States
Reinhard Dummer Switzerland
John M. Kirkwood United States
Dario A.A. Vignali United States
Kai W. Wucherpfennig United States
Catherine Sautès‐Fridman France
Johanna A. Joyce United States
George Coukos United States
Michael B. Brenner United States
Alexander M.M. Eggermont Netherlands
Matthew F. Krummel relative to Mikaël J. Pittet United States Mikaël J. Pittet's profile →
Citations per field
00.5×1.7×
Mikaël J. Pittet · 1×
Citations per year

Countries citing papers authored by Matthew F. Krummel

Since Specialization
Citations

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

Fields of papers citing papers by Matthew F. Krummel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew F. Krummel. 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 Matthew F. Krummel. The network helps show where Matthew F. Krummel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Understanding the tumor immune microenvironment (TIME) for effective therapy
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20184151
2
Enhancement of Antitumor Immunity by CTLA-4 Blockade
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19962951
3
Dendritic cells in cancer immunology and immunotherapy
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20191906
4
CD28 and CTLA-4 have opposing effects on the response of T cells to stimulation.
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19951748
5
Dissecting the Tumor Myeloid Compartment Reveals Rare Activating Antigen-Presenting Cells Critical for T Cell Immunity
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2014904
6
Type 2 innate lymphoid cells control eosinophil homeostasis
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2013846
7
The lung is a site of platelet biogenesis and a reservoir for haematopoietic progenitors
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2017783
8
CTLA-4 engagement inhibits IL-2 accumulation and cell cycle progression upon activation of resting T cells.
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1996772
9
Critical Role for CD103+/CD141+ Dendritic Cells Bearing CCR7 for Tumor Antigen Trafficking and Priming of T Cell Immunity in Melanoma
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2016747
10
Repair and Regeneration of the Respiratory System: Complexity, Plasticity, and Mechanisms of Lung Stem Cell Function
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2014627
11
Visualizing regulatory T cell control of autoimmune responses in nonobese diabetic mice
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2005627
12
Interactions between PD-1 and PD-L1 promote tolerance by blocking the TCR–induced stop signal
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2009605
13
Unleashing Type-2 Dendritic Cells to Drive Protective Antitumor CD4+ T Cell Immunity
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2019451
14 2005449
15
Tumor immune profiling predicts response to anti–PD-1 therapy in human melanoma
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2016388
16
The NK cell–cancer cycle: advances and new challenges in NK cell–based immunotherapies
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2020380
17 2008362
18 2016323
19 2000318
20 2016307

About Matthew F. Krummel

Matthew F. Krummel is a scholar working on Immunology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology and Allergy, having authored 166 papers that have together received 28.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (69 papers), T-cell and B-cell Immunology (66 papers), Immune Cell Function and Interaction (65 papers), Cancer Immunotherapy and Biomarkers (30 papers), Immune cells in cancer (24 papers), CAR-T cell therapy research (19 papers), Cell Adhesion Molecules Research (11 papers) and Immune Response and Inflammation (10 papers). The work is most often cited by research in Immunology (16.9k citations), Oncology (10.3k citations), Immunology and Allergy (929 citations), Cancer Research (1.6k citations) and Molecular Biology (6.0k citations). Matthew F. Krummel has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include James P. Allison, Dana R. Leach, Mikhail Binnewies, Edward W. Roberts, Adriana M. Mujal, David Sancho, Ignacio Melero, Francisco J. Cueto, Stefanie K. Wculek and Kelly Kersten. Their work appears in journals such as The Journal of Immunology, Nature Immunology, The Journal of Experimental Medicine, Cancer Cell and PLoS ONE.

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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