Michael C. Brown

10.3k citations
160 papers · 8.2k indexed · 3 hit papers · h-index 46

Impact in

Papers in

Michael C. Brown

153 papers receiving 7.9k citations

Hit Papers

Paxillin: Adapting to Change 2004 · 530 citations
5301976202619922009200400600

Peers

Michael C. Brown
Comparison fields: 5 of 146
  • Immunology and Allergy 1.5k
  • Developmental Neuroscience 717
  • Cell Biology 2.0k
  • Cellular and Molecular Neuroscience 2.2k
  • Neurology 502
Replace R. Blake Pepinsky with:
R. Blake Pepinsky United States
A Hall United States
Klaus Addicks Germany
David Edgar United Kingdom
Anthony J. Koleske United States
Lieve Moons Belgium
Cord Brakebusch Denmark
Kazumasa Ohashi Japan
Kensaku Mizuno Japan
Kenji Kadomatsu Japan
Michael C. Brown relative to R. Blake Pepinsky United States R. Blake Pepinsky's profile →
Citations per field
00.5×1.5×2.1×
R. Blake Pepinsky · 1×
Citations per year

Countries citing papers authored by Michael C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20243
4 20240
5 20234
6 202337
7 202312
8 20226
9 202150
10 202123
11 202121
12 202029
13 201844
14
Paxillin: Adapting to Change
Hit paper breakdown →
2004530
15 200455
16 200240
17 2002144
18 200135
19 200182
20 199175

About Michael C. Brown

Michael C. Brown is a scholar working on Immunology and Allergy, Immunology, Developmental Neuroscience, Cell Biology and Cellular and Molecular Neuroscience, having authored 160 papers that have together received 8.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (24 papers), Cellular Mechanics and Interactions (18 papers), Virus-based gene therapy research (17 papers), Immunotherapy and Immune Responses (17 papers), CAR-T cell therapy research (16 papers), interferon and immune responses (14 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Glycosylation and Glycoproteins Research (13 papers). The work is most often cited by research in Immunology and Allergy (1.5k citations), Developmental Neuroscience (717 citations), Cell Biology (2.0k citations), Cellular and Molecular Neuroscience (2.2k citations) and Neurology (502 citations). Michael C. Brown has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Christopher E. Turner, V. Hugh Perry, Will G. Hopkins, David C. Van Essen, Jan Jansen, Joseph A. Perrotta, R. L. Holland, Matthias Gromeier, E. R. Lunn and R Ironton. Their work appears in journals such as Neuro-Oncology, European Journal of Neuroscience, The Journal of Immunology, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026