Matthew W. Brown

12.2k citations
117 papers · 6.2k indexed · 1 hit paper · h-index 42
Topics
Protist diversity and phylogeny (53 papers)Memory and Neural Mechanisms (38 papers)Neuroscience and Neuropharmacology Research (37 papers)

In The Last Decade

Matthew W. Brown

112 papers receiving 6.1k citations

Hit Papers

The New Tree of Eukaryotes20192026202120232019100200300400500

Peers

Matthew W. Brown
Comparison fields: 5 of 161
  • Cognitive Neuroscience 2.7k
  • Molecular Biology 2.6k
  • Cellular and Molecular Neuroscience 2.2k
  • Ecology 1.1k
  • Plant Science 411
Replace Clifton W. Ragsdale with:
Clifton W. Ragsdale United States
Jonathan T. Erichsen United Kingdom
Kevin Pang United States
Judith S Eisen United States
Eric A. Stone United States
Michael Rosbash United States
Ralph J. Greenspan United States
Herwig Baier United States
Robert Gerlai Canada
Lars O.E. Ebbesson Norway
Matthew W. Brown relative to Clifton W. Ragsdale United States Clifton W. Ragsdale's profile →
Citations per field
00.5×3.3×
Clifton W. Ragsdale · 1×
Citations per year

Countries citing papers authored by Matthew W. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew W. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Brown. A scholar is included among the top collaborators of Matthew W. 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 Matthew W. Brown. Matthew W. 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
#WorkIndexed citations
1 5
2 3
3 4
4 2
5 15
6 11
7 7
8
The New Tree of Eukaryotesbreakdown →
540
9 89
10 7
11 3
12 54
13 23
14 22
15 218
16 73
17 4
18 161
19 35
20 20

About Matthew W. Brown

Matthew W. Brown is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Biology, having authored 117 papers that have together received 6.2k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (53 papers), Memory and Neural Mechanisms (38 papers) and Neuroscience and Neuropharmacology Research (37 papers). The work is most often cited by research in Cognitive Neuroscience (2.7k citations), Cellular and Molecular Neuroscience (2.2k citations) and Sensory Systems (331 citations). Matthew W. Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Andrew J. Roger, John P. Aggleton, I.P. Riches, Alastair G. B. Simpson, Zafar I. Bashir, Jeffrey D. Silberman, Xingjun Zhu, Fabien Burki, Fraser A.W. Wilson and G. Horn. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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