David T. Chau

25 total papers · 1.1k total citations
21 papers, 885 citations indexed

About

David T. Chau is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, David T. Chau has authored 21 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 10 papers in Psychiatry and Mental health and 7 papers in Cognitive Neuroscience. Recurrent topics in David T. Chau's work include Neurotransmitter Receptor Influence on Behavior (12 papers), Schizophrenia research and treatment (8 papers) and Receptor Mechanisms and Signaling (3 papers). David T. Chau is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (12 papers), Schizophrenia research and treatment (8 papers) and Receptor Mechanisms and Signaling (3 papers). David T. Chau collaborates with scholars based in United States, Venezuela and Czechia. David T. Chau's co-authors include Alan I. Green, Matthew Ríos, Ali Zırh, Ronald P. Lesser, Greg Krauss, Bartley G. Hoebel, Fred A. Lenz, Pedro Rada, Robert M. Roth and Lawrence P. Schramm and has published in prestigious journals such as Journal of Neurophysiology, Annals of the New York Academy of Sciences and Neuroscience.

In The Last Decade

David T. Chau

21 papers receiving 867 citations

Author Peers

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

Author Last Decade Papers Cites
David T. Chau 361 352 244 149 118 21 885
Clark T. Randt 345 1.0× 302 0.9× 269 1.1× 104 0.7× 151 1.3× 37 994
Andreas Borta 271 0.8× 291 0.8× 171 0.7× 109 0.7× 109 0.9× 20 1.1k
Sima Mraovitch 429 1.2× 238 0.7× 187 0.8× 129 0.9× 163 1.4× 23 1.0k
Sarah A. Eisenstein 316 0.9× 177 0.5× 173 0.7× 68 0.5× 123 1.0× 41 992
Sylvia S. White 498 1.4× 173 0.5× 230 0.9× 136 0.9× 273 2.3× 28 1.0k
R. W. Langley 302 0.8× 554 1.6× 83 0.3× 133 0.9× 97 0.8× 40 1.0k
Seung‐Soo Baek 251 0.7× 161 0.5× 229 0.9× 93 0.6× 137 1.2× 37 925
Kunihiro Isse 248 0.7× 238 0.7× 243 1.0× 129 0.9× 115 1.0× 28 1.0k
Caroline Gauriau 410 1.1× 332 0.9× 479 2.0× 62 0.4× 89 0.8× 16 873
Molly E. McLaren 218 0.6× 337 1.0× 159 0.7× 172 1.2× 64 0.5× 15 923

Countries citing papers authored by David T. Chau

Since Specialization
Citations

This map shows the geographic impact of David T. Chau'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 David T. Chau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Chau more than expected).

Fields of papers citing papers by David T. Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Chau. 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 David T. Chau. The network helps show where David T. Chau may publish in the future.

Co-authorship network of co-authors of David T. Chau

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Chau. A scholar is included among the top collaborators of David T. Chau 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 David T. Chau. David T. Chau 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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