Michael A. Brehm

13.8k citations
161 papers · 8.4k indexed · 3 hit papers · h-index 52

Impact in

  • Immunology top 0.2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Virology top 1%
    • HIV Research and Treatment

Papers in

    • Immune Cell Function and Interaction 66
    • T-cell and B-cell Immunology 45
    • Immunotherapy and Immune Responses 38
    • Immune Response and Inflammation 12

Michael A. Brehm

155 papers receiving 8.4k citations

Hit Papers

Humanized mouse models for immuno-oncology research 2023 · 212 citations
2122012202620162021200400600

Peers

Michael A. Brehm
Comparison fields: 5 of 133
  • Immunology 4.4k
  • Virology 513
  • Transplantation 184
  • Oncology 1.8k
  • Hematology 543
Replace Barbara Fazekas de St Groth with:
Barbara Fazekas de St Groth Australia
William W. Kwok United States
Bernhard Odermatt Switzerland
Michael Croft United States
Thomas M. Kündig Switzerland
Hans Yssel France
Derry C. Roopenian United States
Martin Giedlin United States
Deborah J. Lenschow United States
Dirk H. Busch Germany
Michael A. Brehm relative to Barbara Fazekas de St Groth Australia Barbara Fazekas de St Groth's profile →
Citations per field
00.5×
Barbara Fazekas de St Groth · 1×
Citations per year

Countries citing papers authored by Michael A. Brehm

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Brehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20244
3 20245
4 20242
5 202315
6 202329
7 20238
8 202312
9 202129
10 20209
11 20186
12 201098
13 201057
14 2006106
15 200644
16 200619
17 200583
18 200415
19 2003117
20 200276

About Michael A. Brehm

Michael A. Brehm is a scholar working on Immunology, Virology, Genetics, Hematology and Oncology, having authored 161 papers that have together received 8.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (66 papers), T-cell and B-cell Immunology (45 papers), Immunotherapy and Immune Responses (38 papers), Virus-based gene therapy research (23 papers), Diabetes and associated disorders (17 papers), Pancreatic function and diabetes (17 papers), CAR-T cell therapy research (14 papers) and Immune Response and Inflammation (12 papers). The work is most often cited by research in Immunology (4.4k citations), Virology (513 citations), Transplantation (184 citations), Oncology (1.8k citations) and Hematology (543 citations). Michael A. Brehm has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Dale L. Greiner, Leonard D. Shultz, Raymond M. Welsh, Liisa K. Selin, J. Víctor García, Keith A. Daniels, Aldo A. Rossini, Sonal Jangalwe, Laurie L. Kenney and Lisa Burzenski. Their work appears in journals such as The Journal of Immunology, Blood, Journal of Virology, Cancer Research and The FASEB Journal.

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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