Doo‐Sup Choi

6.9k citations
133 papers · 4.3k · h-index 36

Impact in

Papers in

Doo‐Sup Choi

131 papers receiving 4.2k citations

Peers

Doo‐Sup Choi
Comparison fields: 5 of 132
  • Physiology 681
  • Biological Psychiatry 335
  • Cellular and Molecular Neuroscience 1.6k
  • Neurology 501
  • Endocrine and Autonomic Systems 257
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John Sharkey United Kingdom
James G. McLarnon Canada
Peter J. Gebicke‐Haerter Germany
Stefania Ceruti Italy
Jill Richardson United Kingdom
Heike Franke Germany
Michael Wong United States
Ramasamy Thangavel United States
Katalin A. Kékesi Hungary
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Citations per year

Countries citing papers authored by Doo‐Sup Choi

Since Specialization
Citations

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

Fields of papers citing papers by Doo‐Sup Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doo‐Sup Choi. 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 Doo‐Sup Choi. The network helps show where Doo‐Sup Choi may publish in the future.

Co-authors

The 25 scholars most cited alongside Doo‐Sup Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Doo‐Sup Choi Line = papers co-authored together Doo‐Sup Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000273
2 2004210
3 1997177
4 2013135
5 2004124
6 1996124
7 1996118
8 2006105
9 201387
10 201386
11 200281
12 201280
13 201276
14 200875
15 200266
16 201265
17 201461
18 200960
19 201558
20 200755

About Doo‐Sup Choi

Doo‐Sup Choi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Neurology and Biological Psychiatry, having authored 133 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (38 papers), Neuroscience and Neuropharmacology Research (31 papers), Adenosine and Purinergic Signaling (28 papers), Receptor Mechanisms and Signaling (26 papers), Tryptophan and brain disorders (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Neuroendocrine regulation and behavior (8 papers) and Cannabis and Cannabinoid Research (7 papers). The work is most often cited by research in Physiology (681 citations), Biological Psychiatry (335 citations), Cellular and Molecular Neuroscience (1.6k citations), Neurology (501 citations) and Endocrine and Autonomic Systems (257 citations). Doo‐Sup Choi has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Luc Maroteaux, Robert O. Messing, David J. Hinton, Jean-Marie Launay, Moonnoh R. Lee, Nadia Messaddeq, Hyung Wook Nam, Sun Choi, Alfredo Oliveros and Christina L. Ruby. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Neuropharmacology, Behavioural Brain Research, The FASEB Journal and Journal of Neuroscience.

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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