Michael C. Brown
Impact in
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Cell Adhesion Molecules Research 24
- Immunology 44
- Immunotherapy and Immune Responses 17
- interferon and immune responses 14
- Co-authors
- Christopher E. TurnerV. Hugh PerryWill G. HopkinsDavid C. Van EssenJan JansenJoseph A. PerrottaR. L. HollandMatthias Gromeier
- Journals
- Neuro-Oncology (10 papers)European Journal of Neuroscience (6 papers)The Journal of Immunology (5 papers)Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael C. Brown
153 papers receiving 7.9k citations
Hit Papers
Peers
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
Countries citing papers authored by Michael C. Brown
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 37 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 50 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 29 | |
| 13 | 2018 | 44 | |
| 14 | Paxillin: Adapting to Change Hit paper breakdown → | 2004 | 530 |
| 15 | 2004 | 55 | |
| 16 | 2002 | 40 | |
| 17 | 2002 | 144 | |
| 18 | 2001 | 35 | |
| 19 | 2001 | 82 | |
| 20 | 1991 | 75 |
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.