M. Kronenberg

745 citations
9 papers · 610 · h-index 7

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
  • Hepatology top 10%
    • Liver Diseases and Immunity

Papers in

    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3
    • Immunodeficiency and Autoimmune Disorders 1
    • vaccines and immunoinformatics approaches 2

M. Kronenberg

9 papers receiving 600 citations

Peers

M. Kronenberg
Comparison fields: 5 of 66
  • Immunology 282
  • Hepatology 60
  • Virology 31
  • Radiology, Nuclear Medicine and Imaging 108
  • Molecular Biology 328
Replace Carrie Moore with:
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Laura Zarebski United States
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Vera V. Pinto Denmark
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Melanie Wiesel Switzerland
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Citations per field
00.5×3.8×
Carrie Moore · 1×
Citations per year

Countries citing papers authored by M. Kronenberg

Since Specialization
Citations

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

Fields of papers citing papers by M. Kronenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2005313
2 200596
3
Cutting edge: anti-CD1 monoclonal antibody treatment reverses the production patterns of TGF-beta 2 and Th1 cytokines and ameliorates listeriosis in mice.
199973
4 201362
5 200623
6 201420
7
Development of lymphoma in the thymus of AKR mice treated with the lymphomagenic virus SL 3-3.
198916
8
Antibody and MHC genes.
19825
9 20042

About M. Kronenberg

M. Kronenberg is a scholar working on Immunology, Molecular Biology, Epidemiology, Genetics and Surgery, having authored 9 papers that have together received 610 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), vaccines and immunoinformatics approaches (2 papers), Liver Diseases and Immunity (1 paper), Diabetes and associated disorders (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Immunology (282 citations), Hepatology (60 citations), Virology (31 citations), Radiology, Nuclear Medicine and Imaging (108 citations) and Molecular Biology (328 citations). M. Kronenberg has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Steve Wilson, Huynh‐Hoa Bui, Ole Lund, David Nemazee, Julia Ponomarenko, Stephen P. Schoenberger, Bjoern Peters, John Sidney, Ward Fleri and Alessandro Sette. Their work appears in journals such as PLoS Biology, Clinical & Experimental Immunology, Journal of Leukocyte Biology, Immunogenetics 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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