Caroline Wass

42 total papers · 1000 total citations
32 papers, 790 citations indexed

About

Caroline Wass is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Caroline Wass has authored 32 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 7 papers in Social Psychology. Recurrent topics in Caroline Wass's work include Neurotransmitter Receptor Influence on Behavior (12 papers), Receptor Mechanisms and Signaling (11 papers) and Neuroscience and Neuropharmacology Research (11 papers). Caroline Wass is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (12 papers), Receptor Mechanisms and Signaling (11 papers) and Neuroscience and Neuropharmacology Research (11 papers). Caroline Wass collaborates with scholars based in Sweden, Canada and Denmark. Caroline Wass's co-authors include Erik Pålsson, Daniel Klamer, Kim Fejgin, Lennart Svensson, Victoria C. Wing, Tony P. George, Jörgen A. Engel, Trevor Archer, Henrik Anckarsäter and Kaj Blennow and has published in prestigious journals such as Journal of Neuroscience, Annals of the New York Academy of Sciences and Neuroscience.

In The Last Decade

Caroline Wass

31 papers receiving 774 citations

Author Peers

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

Author						Papers	Cites
Caroline Wass	314	222	149	138	128	32	790
Erwan Le Maître	404 1.3×	273 1.2×	137 0.9×	98 0.7×	106 0.8×	23	818
Christof Dormann	402 1.3×	151 0.7×	97 0.7×	158 1.1×	123 1.0×	24	895
Laura K. Nisenbaum	436 1.4×	303 1.4×	112 0.8×	96 0.7×	69 0.5×	25	874
Carla Toro	275 0.9×	177 0.8×	57 0.4×	121 0.9×	114 0.9×	31	786
Lawrence J. Shampine	370 1.2×	198 0.9×	110 0.7×	65 0.5×	139 1.1×	19	899
Fang‐Jung Wan	374 1.2×	161 0.7×	110 0.7×	125 0.9×	97 0.8×	34	797
Abha K. Rajbhandari	331 1.1×	181 0.8×	142 1.0×	175 1.3×	40 0.3×	21	718
Michal Taler	211 0.7×	201 0.9×	85 0.6×	78 0.6×	95 0.7×	37	830
Salman Zubedat	221 0.7×	217 1.0×	82 0.6×	74 0.5×	68 0.5×	27	743
Chan Hong Lee	339 1.1×	219 1.0×	82 0.6×	94 0.7×	83 0.6×	18	728

Countries citing papers authored by Caroline Wass

Since Specialization

Citations

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

Fields of papers citing papers by Caroline Wass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Wass

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