Mark J. Brown

7.4k total citations · 1 hit paper
132 papers, 5.4k citations indexed

About

Mark J. Brown is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Mark J. Brown has authored 132 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Neurology, 29 papers in Cellular and Molecular Neuroscience and 24 papers in Molecular Biology. Recurrent topics in Mark J. Brown's work include Peripheral Neuropathies and Disorders (18 papers), Hereditary Neurological Disorders (16 papers) and Pain Mechanisms and Treatments (14 papers). Mark J. Brown is often cited by papers focused on Peripheral Neuropathies and Disorders (18 papers), Hereditary Neurological Disorders (16 papers) and Pain Mechanisms and Treatments (14 papers). Mark J. Brown collaborates with scholars based in United States, United Kingdom and Italy. Mark J. Brown's co-authors include Arthur K. Asbury, Kyoko Saida, Takahiko Saida, Austin J. Sumner, David Pleasure, Donald H. Silberberg, Robert P. Lisak, Richard A. Lewis, John T. Sladky and G. Parry and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Mark J. Brown

129 papers receiving 5.1k citations

Hit Papers

Sensory Neuropathy from Pyridoxine Abuse 1983 2026 1997 2011 1983 100 200 300 400

Peers

Mark J. Brown
Comparison fields: 5 of 170
  • Neurology 2.0k
  • Cellular and Molecular Neuroscience 1.5k
  • Physiology 1.1k
  • Molecular Biology 900
  • Radiology, Nuclear Medicine and Imaging 585
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Peter Blumbergs Australia View profile →
Citations per field, relative to Mark J. Brown
Mark J. Brown · 1×
Citations per year, relative to Mark J. Brown
Mark J. Brown · 1×

Countries citing papers authored by Mark J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Brown. A scholar is included among the top collaborators of Mark J. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark J. Brown. Mark J. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 18
4 18
5
SETG: Nucleic Acid Extraction and Sequencing for In Situ Life Detection on Mars
2
6 5
7 116
8 18
9 10
10 25
11
No support for linkage of chromosome 17(q21-24) to Essential Hypertension in the MRC British Genetics of Hypertension (MRC BRIGHT) Study.
1
12 71
13 38
14 13
15 70
16 10
17 6
18 4
19 8
20
Antiserum-mediated demyelination in vivo: a sequential study using intraneural injection of experimental allergic neuritis serum.
83

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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