James Peoples

13 total papers · 663 total citations
10 papers, 569 citations indexed

About

James Peoples is a scholar working on Cellular and Molecular Neuroscience, Surgery and Molecular Biology. According to data from OpenAlex, James Peoples has authored 10 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 3 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in James Peoples's work include Neuropeptides and Animal Physiology (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). James Peoples is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). James Peoples collaborates with scholars based in United States, Australia and Canada. James Peoples's co-authors include Elisabeth J. Van Bockstaele, Rita J. Valentino, Elisabeth J. Van Bockstaele, Gary W. Lemmon, Sidney F. Miller, Michael J. Eppinger, Kathryn G. Commons, Carla Rudoy, Ruth L. Stornetta and Stavropoula Tjoumakaris and has published in prestigious journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Biological Psychiatry.

In The Last Decade

James Peoples

10 papers receiving 555 citations

Author Peers

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

Author						Papers	Cites
James Peoples	245	162	137	136	125	10	569
D.G. Slaughter	274 1.1×	211 1.3×	90 0.7×	66 0.5×	83 0.7×	10	625
L. Rosén	272 1.1×	64 0.4×	100 0.7×	189 1.4×	127 1.0×	15	639
M.I. Tayyeb	327 1.3×	155 1.0×	64 0.5×	146 1.1×	76 0.6×	8	589
Dennisse V. Jimenez	313 1.3×	132 0.8×	71 0.5×	214 1.6×	100 0.8×	15	667
Stephan D. Bouman	282 1.2×	96 0.6×	91 0.7×	191 1.4×	77 0.6×	14	693
Sven Akkerman	183 0.7×	149 0.9×	70 0.5×	290 2.1×	86 0.7×	9	612
Roland Willems	340 1.4×	118 0.7×	134 1.0×	207 1.5×	47 0.4×	16	656
Perla Leal‐Galicia	195 0.8×	185 1.1×	92 0.7×	78 0.6×	97 0.8×	14	690
Lucas R. Glover	208 0.8×	162 1.0×	87 0.6×	100 0.7×	101 0.8×	9	561
Rimenez R. Souza	155 0.6×	268 1.7×	198 1.4×	96 0.7×	143 1.1×	24	540

Countries citing papers authored by James Peoples

Since Specialization

Citations

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

Fields of papers citing papers by James Peoples

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Peoples

This figure shows the co-authorship network connecting the top 25 collaborators of James Peoples. A scholar is included among the top collaborators of James Peoples 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 James Peoples. James Peoples 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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