Michael Berger

7.0k citations
122 papers · 4.7k · 1 hit paper · h-index 36

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 15
    • Immune Response and Inflammation 13
    • T-cell and B-cell Immunology 7

Michael Berger

117 papers receiving 4.6k citations

Michael Berger's Hit Papers

Apoptosis - the p53 network 2003 · 932 citations
9320+7+15Years since publication250500750

Peers

Michael Berger
Comparison fields: 5 of 143
  • Immunology 1.0k
  • Oncology 1.2k
  • Cancer Research 477
  • Molecular Biology 2.1k
  • Biological Psychiatry 42
Replace Masahiro Maeda with:
Masahiro Maeda Japan
Frank Ulrich Weiß Germany
Simon Rousseau Canada
Jin Zhang China
Yi Liu China
Jian Song China
Nariyoshi Shinomiya Japan
Jochen Heß Germany
Michael Berger relative to Masahiro Maeda Japan Masahiro Maeda's profile →
Citations per field
00.5×1.5×2.4×
Masahiro Maeda · 1×
Citations per year

Countries citing papers authored by Michael Berger

Since Specialization
Citations

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

Fields of papers citing papers by Michael Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Apoptosis - the p53 network
Hit paper breakdown →
2003932
2 2000339
3 2009202
4 2019144
5 2014141
6 2016136
7 2018103
8 2008100
9 201495
10 199986
11 200983
12 200180
13 201679
14 199578
15 200978
16 198477
17 201270
18 201467
19 201064
20 201364

About Michael Berger

Michael Berger is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Psychiatry and Mental health, having authored 122 papers that have together received 4.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Immune Response and Inflammation (13 papers), Neuropeptides and Animal Physiology (8 papers), Solar Thermal and Photovoltaic Systems (8 papers), T-cell and B-cell Immunology (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer-related Molecular Pathways (6 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Immunology (1.0k citations), Oncology (1.2k citations), Cancer Research (477 citations), Molecular Biology (2.1k citations) and Biological Psychiatry (42 citations). Michael Berger has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Ygal Haupt, Zehavit Goldberg, Susan Haupt, Michael F.G. Schmidt, Stefan Müller, Jacob-S. Seeler, François Lehembre, Anne Dejean, Dietrich von Schweinitz and Carolina Berger. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Anticancer Research, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.

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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