Jeffrey L. Barr

48 total papers · 807 total citations
29 papers, 547 citations indexed

About

Jeffrey L. Barr is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Jeffrey L. Barr has authored 29 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Jeffrey L. Barr's work include Neuroscience and Neuropharmacology Research (13 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Receptor Mechanisms and Signaling (8 papers). Jeffrey L. Barr is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Receptor Mechanisms and Signaling (8 papers). Jeffrey L. Barr collaborates with scholars based in United States, Canada and United Kingdom. Jeffrey L. Barr's co-authors include Gina L. Forster, Ellen M. Unterwald, Kenneth J. Renner, Eugen Brailoiu, G. Cristina Brailoiu, Daniel R. Davies, Pasquale Manzerra, Mary E. Abood, Jamie L. Scholl and Pingwei Zhao and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Neuroscience.

In The Last Decade

Jeffrey L. Barr

28 papers receiving 543 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeffrey L. Barr 275 200 83 82 62 29 547
Andrew C. Morse 352 1.3× 136 0.7× 93 1.1× 114 1.4× 41 0.7× 20 549
Erick Singley 380 1.4× 164 0.8× 103 1.2× 97 1.2× 57 0.9× 13 589
Éric Marcotte 233 0.8× 188 0.9× 33 0.4× 89 1.1× 59 1.0× 24 596
Shawn Gouty 255 0.9× 269 1.3× 80 1.0× 34 0.4× 32 0.5× 24 560
Laurence Decorte 259 0.9× 172 0.9× 84 1.0× 188 2.3× 44 0.7× 22 526
Matthew R. Hudson 219 0.8× 128 0.6× 54 0.7× 123 1.5× 48 0.8× 29 455
Kristin Feltmann 306 1.1× 154 0.8× 45 0.5× 107 1.3× 44 0.7× 27 579
Ana Hitri 387 1.4× 204 1.0× 66 0.8× 79 1.0× 18 0.3× 30 586
Nathalie Dourmap 340 1.2× 246 1.2× 54 0.7× 67 0.8× 20 0.3× 32 590
Shu Hasegawa 226 0.8× 170 0.8× 47 0.6× 40 0.5× 30 0.5× 44 538

Countries citing papers authored by Jeffrey L. Barr

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey L. Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey L. Barr. 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 Jeffrey L. Barr. The network helps show where Jeffrey L. Barr may publish in the future.

Co-authorship network of co-authors of Jeffrey L. Barr

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey L. Barr. A scholar is included among the top collaborators of Jeffrey L. Barr 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 Jeffrey L. Barr. Jeffrey L. Barr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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