Brian N. Mathur

3.9k citations
54 papers · 2.5k indexed · h-index 26
Topics
Neuroscience and Neuropharmacology Research (21 papers)Neurotransmitter Receptor Influence on Behavior (19 papers)Neural dynamics and brain function (15 papers)

In The Last Decade

Brian N. Mathur

49 papers receiving 2.5k citations

Peers

Brian N. Mathur
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 1.4k
  • Cognitive Neuroscience 944
  • Molecular Biology 760
  • Clinical Psychology 330
  • Nephrology 261
Replace Alicia Rivera with:
Alicia Rivera Spain
Kazuyuki Yamada Japan
Sarah C. Rogan United States
Rochelle M. Hines United States
Zhenzhong Cui United States
Shuji Iritani Japan
Michael Harte United Kingdom
Robert L. Jakab United States
Jean‐Claude Béïque Canada
Baltazar Gomez‐Mancilla Switzerland
Brian N. Mathur relative to Alicia Rivera Spain Alicia Rivera's profile →
Citations per field
00.5×10×13.7×
Alicia Rivera · 1×
Citations per year

Countries citing papers authored by Brian N. Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Brian N. Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian N. Mathur. 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 Brian N. Mathur. The network helps show where Brian N. Mathur may publish in the future.

Co-authorship network of co-authors of Brian N. Mathur

This figure shows the co-authorship network connecting the top 25 collaborators of Brian N. Mathur. A scholar is included among the top collaborators of Brian N. Mathur 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 Brian N. Mathur. Brian N. Mathur 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 0
2 0
3 0
4 8
5 6
6 3
7 20
8 100
9 20
10 3
11 69
12 116
13 32
14 37
15 37
16 151
17 39
18 61
19 26
20 35

About Brian N. Mathur

Brian N. Mathur is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Neurotransmitter Receptor Influence on Behavior (19 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Cognitive Neuroscience (944 citations) and Nephrology (261 citations). Brian N. Mathur has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David M. Lovinger, Michael G. White, Ariel Y. Deutch, Joseph F. Cheer, David A. Seminowicz, Roger Cachope, Samuel R. Krimmel, Huiling Wang, Marisela Morales and Yolanda Mateo. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

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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