Travis E. Brown

2.4k citations
45 papers · 1.7k · h-index 22

Impact in

Papers in

Travis E. Brown

42 papers receiving 1.7k citations

Peers

Travis E. Brown
Comparison fields: 5 of 61
  • Cellular and Molecular Neuroscience 1.2k
  • Developmental Neuroscience 72
  • Endocrine and Autonomic Systems 79
  • Cognitive Neuroscience 225
  • Behavioral Neuroscience 20
Replace Hiroki Yasuda with:
Hiroki Yasuda Japan
Jack C. Rose United States
Pascale Chavis France
Tamara Aid‐Pavlidis Estonia
Weizheng Wei United States
Anna Kazantseva Estonia
Lucia Caffino Italy
Gilles E. Martin United States
Christophe Porcher France
Alexander Figurov United States
Travis E. Brown relative to Hiroki Yasuda Japan Hiroki Yasuda's profile →
Citations per field
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Hiroki Yasuda · 1×
Citations per year

Countries citing papers authored by Travis E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Travis E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013252
2 2009222
3 2015169
4 2011152
5 200761
6 200760
7 201159
8 200854
9 201452
10 201851
11 201348
12 200844
13 201641
14 201739
15 202137
16 201735
17 200731
18 201831
19 202030
20 200726

About Travis E. Brown

Travis E. Brown is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience, Clinical Psychology and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (20 papers), Neuroscience and Neuropharmacology Research (18 papers), Memory and Neural Mechanisms (6 papers), Regulation of Appetite and Obesity (4 papers), Eating Disorders and Behaviors (4 papers), Neuropeptides and Animal Physiology (3 papers), Renin-Angiotensin System Studies (3 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (72 citations), Endocrine and Autonomic Systems (79 citations), Cognitive Neuroscience (225 citations) and Behavioral Neuroscience (20 citations). Travis E. Brown has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Barbara A. Sorg, Yan Dong, Yanhua H. Huang, Oliver M. Schlüter, Joseph W. Harding, Rebecca A. Darling, Julie A. Kauer, Ying Lin, Megan L. Slaker and Eric J. Nestler. Their work appears in journals such as Journal of Neuroscience, Scientific Reports, Neuropsychopharmacology, Nature Neuroscience and Neural Plasticity.

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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