Karine Guillem

62 total papers · 1.4k total citations
32 papers, 995 citations indexed

About

Karine Guillem is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Karine Guillem has authored 32 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 20 papers in Molecular Biology and 16 papers in Cognitive Neuroscience. Recurrent topics in Karine Guillem's work include Neurotransmitter Receptor Influence on Behavior (29 papers), Receptor Mechanisms and Signaling (17 papers) and Neuroscience and Neuropharmacology Research (12 papers). Karine Guillem is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (29 papers), Receptor Mechanisms and Signaling (17 papers) and Neuroscience and Neuropharmacology Research (12 papers). Karine Guillem collaborates with scholars based in France, United States and Switzerland. Karine Guillem's co-authors include Serge H. Ahmed, Laura L. Peoples, Caroline Vouillac‐Mendoza, Youna Vandaele, Magalie Lenoir, Martine Cador, George F. Koob, Luis Stinus, Marc R. Azar and Loren H. Parsons and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Karine Guillem

31 papers receiving 984 citations

Author Peers

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

Author						Papers	Cites
Karine Guillem	685	476	318	149	93	32	995
Ralph Esposito	828 1.2×	423 0.9×	283 0.9×	154 1.0×	105 1.1×	28	1.1k
Manoranjan S. D’Souza	638 0.9×	551 1.2×	205 0.6×	186 1.2×	97 1.0×	45	1.1k
Daniel J. Healy	746 1.1×	588 1.2×	234 0.7×	192 1.3×	95 1.0×	27	1.2k
Ken T. Wakabayashi	802 1.2×	403 0.8×	359 1.1×	118 0.8×	88 0.9×	37	1.1k
Eric Augier	724 1.1×	382 0.8×	269 0.8×	96 0.6×	110 1.2×	24	948
Andreas Arvanitogiannis	819 1.2×	247 0.5×	405 1.3×	119 0.8×	110 1.2×	36	1.1k
Jane B. Acri	662 1.0×	525 1.1×	128 0.4×	115 0.8×	76 0.8×	35	965
Mayada Akil	515 0.8×	357 0.8×	357 1.1×	83 0.6×	56 0.6×	22	1.1k
Tamzin L. Ripley	717 1.0×	316 0.7×	362 1.1×	113 0.8×	58 0.6×	39	1.1k
Sarah F. B. McTavish	538 0.8×	211 0.4×	398 1.3×	170 1.1×	82 0.9×	31	1.2k

Countries citing papers authored by Karine Guillem

Since Specialization

Citations

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

Fields of papers citing papers by Karine Guillem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karine Guillem

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