Michael C. Brown

159 papers receiving 8.3k citations

Michael C. Brown's Hit Papers

Paxillin: Adapting to Change 2004 · 538 citations
5380+16+33Years since publication200400600

Peers

Michael C. Brown
Comparison fields: 5 of 144
  • Immunology and Allergy 1.5k
  • Developmental Neuroscience 739
  • Cellular and Molecular Neuroscience 2.3k
  • Cell Biology 2.1k
  • Neurology 510
Replace R. Blake Pepinsky with:
R. Blake Pepinsky United States
A Hall United States
Klaus Addicks Germany
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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-authors

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

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Polyneuronal innervation of skeletal muscle in new‐born rats and its elimination during maturation.
Hit paper breakdown →
1976701
2
Paxillin: Adapting to Change
Hit paper breakdown →
2004538
3
Motor Nerve Sprouting
Hit paper breakdown →
1981485
4 1999418
5 1996319
6 1978290
7 1991279
8 2017187
9 2005162
10 1998160
11 1990153
12 1989152
13 2001151
14 2002146
15 1991130
16 1998125
17 1991123
18 1998118
19 2001115
20 1992110

About Michael C. Brown

Michael C. Brown is a scholar working on Molecular Biology, Immunology, Cell Biology, Oncology and Cellular and Molecular Neuroscience, having authored 162 papers that have together received 8.7k 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 (16 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), interferon and immune responses (14 papers), Glycosylation and Glycoproteins Research (13 papers), Nerve injury and regeneration (13 papers) and Immunotherapy and Immune Responses (13 papers). The work is most often cited by research in Immunology and Allergy (1.5k citations), Developmental Neuroscience (739 citations), Cellular and Molecular Neuroscience (2.3k citations), Cell Biology (2.1k citations) and Neurology (510 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, R. L. Holland, Joseph A. Perrotta, 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, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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