Kelsey Barcomb

592 citations
13 papers · 387 · h-index 12

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 9
    • Neurotransmitter Receptor Influence on Behavior 3
    • Neuroscience and Neural Engineering 1
    • Receptor Mechanisms and Signaling 4
    • Peroxisome Proliferator-Activated Receptors 1

Kelsey Barcomb

13 papers receiving 386 citations

Peers

Kelsey Barcomb
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 276
  • Behavioral Neuroscience 25
  • Biological Psychiatry 10
  • Cognitive Neuroscience 80
  • Endocrine and Autonomic Systems 24
Replace Michaelanne B. Munoz with:
Michaelanne B. Munoz United States
Helena Janíčková Czechia
Jung Ho Hyun South Korea
Steven R. DeGroot United States
Katalin E. Sos Hungary
Steven T. Pittenger United States
Y. Audrey Hay United Kingdom
Paul Chu Sin Chung Switzerland
Mike Milovanovic United States
Sudarat Nimitvilai United States
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Citations per field
00.5×3.7×
Michaelanne B. Munoz · 1×
Citations per year

Countries citing papers authored by Kelsey Barcomb

Since Specialization
Citations

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

Fields of papers citing papers by Kelsey Barcomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelsey Barcomb. 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 Kelsey Barcomb. The network helps show where Kelsey Barcomb may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201659
2 201441
3 201040
4 201738
5 201838
6 201232
7 201330
8 201928
9 202226
10 201320
11 202316
12 201512
13 20257

About Kelsey Barcomb

Kelsey Barcomb is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Endocrine and Autonomic Systems and Physiology, having authored 13 papers that have together received 387 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (4 papers), Neural dynamics and brain function (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Circadian rhythm and melatonin (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Neuroscience and Neural Engineering (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (276 citations), Behavioral Neuroscience (25 citations), Biological Psychiatry (10 citations), Cognitive Neuroscience (80 citations) and Endocrine and Autonomic Systems (24 citations). Kelsey Barcomb has collaborated with scholars based in United States and Germany. Frequent co-authors include K. Ulrich Bayer, Christopher Ford, Steven J. Coultrap, Tim A. Benke, Johannes Hell, Julie A. Kauer, Abigail M. Polter, Ayumi Tsuda, Matthew J. Kennedy and Karl Bayer. Their work appears in journals such as Journal of Neurochemistry, Neuropharmacology, The FASEB Journal, The Journal of Physiology and Cell Reports.

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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