Laure Pain

39 total papers · 1.0k total citations
27 papers, 819 citations indexed

About

Laure Pain is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Laure Pain has authored 27 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Laure Pain's work include Neuroscience and Neuropharmacology Research (12 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Receptor Mechanisms and Signaling (6 papers). Laure Pain is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Receptor Mechanisms and Signaling (6 papers). Laure Pain collaborates with scholars based in France, United States and Switzerland. Laure Pain's co-authors include Philippe Oberling, Garance Dispersyn, Yvan Touitou, Serge Gobaille, Étienne Challet, Hélène Jeltsch‐David, Jean‐Christophe Cassel, Guy Simonnet, Dominique Aunis and Cyril Rivat and has published in prestigious journals such as Advanced Drug Delivery Reviews, Anesthesiology and Neuropsychopharmacology.

In The Last Decade

Laure Pain

27 papers receiving 796 citations

Author Peers

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

Author						Papers	Cites
Laure Pain	310	242	193	192	149	27	819
Dusica Bajic	270 0.9×	215 0.9×	194 1.0×	105 0.5×	141 0.9×	38	919
Philippe Oberling	562 1.8×	437 1.8×	92 0.5×	148 0.8×	70 0.5×	35	924
Wallace D. Winters	294 0.9×	223 0.9×	85 0.4×	121 0.6×	46 0.3×	25	785
M.R. Dzoljic	609 2.0×	160 0.7×	334 1.7×	76 0.4×	126 0.8×	42	1.0k
Alexander Tzabazis	196 0.6×	57 0.2×	301 1.6×	179 0.9×	102 0.7×	37	977
Brigitta Brandner	274 0.9×	247 1.0×	93 0.5×	192 1.0×	19 0.1×	29	983
Giancarlo Vanini	274 0.9×	628 2.6×	76 0.4×	118 0.6×	193 1.3×	39	934
Gerhard Hapfelmeier	413 1.3×	170 0.7×	76 0.4×	156 0.8×	25 0.2×	25	893
D. Fontana	533 1.7×	152 0.6×	143 0.7×	69 0.4×	72 0.5×	19	906
Clark T. Randt	345 1.1×	302 1.2×	269 1.4×	62 0.3×	38 0.3×	37	994

Countries citing papers authored by Laure Pain

Since Specialization

Citations

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

Fields of papers citing papers by Laure Pain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Pain

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