R. I. Chaplin

10 total papers · 471 total citations
9 papers, 416 citations indexed

About

R. I. Chaplin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, R. I. Chaplin has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Behavioral Neuroscience. Recurrent topics in R. I. Chaplin's work include Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). R. I. Chaplin is often cited by papers focused on Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). R. I. Chaplin collaborates with scholars based in United States. R. I. Chaplin's co-authors include Cindy L. Ehlers, Tamara L. Wall, Wendy M. Kaneko, Lawrence Lumeng, T.-K. Li, Charles B. Nemeroff, Michael J. Owens and George F. Koob and has published in prestigious journals such as Psychopharmacology, Neuropharmacology and Psychoneuroendocrinology.

In The Last Decade

R. I. Chaplin

9 papers receiving 400 citations

Author Peers

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

Author						Papers	Cites
R. I. Chaplin	270	198	102	72	65	9	416
Andrew R. Abela	246 0.9×	181 0.9×	43 0.4×	93 1.3×	52 0.8×	14	413
Jason Katner	290 1.1×	131 0.7×	60 0.6×	154 2.1×	55 0.8×	14	484
Gian Luigi Gessa	355 1.3×	113 0.6×	66 0.6×	108 1.5×	39 0.6×	10	478
Melanie M. Pina	319 1.2×	150 0.8×	76 0.7×	127 1.8×	73 1.1×	15	433
Carl Sikkema	163 0.6×	92 0.5×	87 0.9×	53 0.7×	94 1.4×	18	493
Stacey L. Robinson	252 0.9×	114 0.6×	60 0.6×	122 1.7×	53 0.8×	17	385
Elizabeth M. Avegno	261 1.0×	108 0.5×	70 0.7×	87 1.2×	96 1.5×	16	368
Grasielle C. Kincheski	141 0.5×	158 0.8×	89 0.9×	60 0.8×	125 1.9×	14	451
Brittany M. Navarre	286 1.1×	132 0.7×	158 1.5×	85 1.2×	48 0.7×	15	467
Christopher Snelling	330 1.2×	92 0.5×	106 1.0×	142 2.0×	91 1.4×	9	435

Countries citing papers authored by R. I. Chaplin

Since Specialization

Citations

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

Fields of papers citing papers by R. I. Chaplin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. I. Chaplin. 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 R. I. Chaplin. The network helps show where R. I. Chaplin may publish in the future.

Co-authorship network of co-authors of R. I. Chaplin

This figure shows the co-authorship network connecting the top 25 collaborators of R. I. Chaplin. A scholar is included among the top collaborators of R. I. Chaplin 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 R. I. Chaplin. R. I. Chaplin 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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