Brian N. Mathur

4.0k citations
55 papers · 2.6k · h-index 27

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 21
    • Neurotransmitter Receptor Influence on Behavior 18
    • Neural dynamics and brain function 15
    • Memory and Neural Mechanisms 9
    • Neural and Behavioral Psychology Studies 7
    • Functional Brain Connectivity Studies 7

Brian N. Mathur

52 papers receiving 2.6k citations

Peers

Brian N. Mathur
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 1.3k
  • Cognitive Neuroscience 918
  • Nephrology 258
  • Biological Psychiatry 40
  • Clinical Psychology 342
Replace Kazuyuki Yamada with:
Kazuyuki Yamada Japan
Alicia Rivera Spain
Sarah C. Rogan United States
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Rochelle M. Hines United States
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Citations per field
00.5×10×14.3×
Kazuyuki Yamada · 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-authors

The 25 scholars most cited alongside Brian N. Mathur, 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 Brian N. Mathur Line = papers co-authored together Brian N. Mathur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012383
2 2001338
3 2014153
4 2020127
5 2018118
6 2009113
7 2021109
8 201194
9 201486
10 201180
11 201870
12 201962
13 201262
14 201660
15 201350
16 202046
17 202241
18 201239
19 201539
20 201737

About Brian N. Mathur

Brian N. Mathur is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Pharmacology and Neurology, having authored 55 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Neurotransmitter Receptor Influence on Behavior (18 papers), Neural dynamics and brain function (15 papers), Receptor Mechanisms and Signaling (9 papers), Memory and Neural Mechanisms (9 papers), Neural and Behavioral Psychology Studies (7 papers), Functional Brain Connectivity Studies (7 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cognitive Neuroscience (918 citations), Nephrology (258 citations), Biological Psychiatry (40 citations) and Clinical Psychology (342 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, Samuel R. Krimmel, Roger Cachope, Marisela Morales, Huiling Wang and Yolanda Mateo. Their work appears in journals such as Neuropsychopharmacology, Cell Reports, Journal of Neuroscience, Brain Structure and Function and Parkinsonism & Related Disorders.

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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