Lee‐Yuan Liu‐Chen

7.4k citations
152 papers · 6.2k indexed · h-index 46

Lee‐Yuan Liu‐Chen

150 papers receiving 6.0k citations

Peers

Lee‐Yuan Liu‐Chen
Comparison fields: 5 of 108
  • Cellular and Molecular Neuroscience 4.3k
  • Molecular Biology 4.1k
  • Toxicology 171
  • Physiology 1.3k
  • Anesthesiology and Pain Medicine 190
Replace John R. Traynor with:
John R. Traynor United States
Florence Noble France
Laura Bohn United States
Mei‐Chuan Ko United States
Ying‐Xian Pan United States
Edward J. Bilsky United States
Alan Cowan United States
Josée E. Leysen Belgium
Stephen M. Husbands United Kingdom
Manfred Göthert Germany
Lee‐Yuan Liu‐Chen relative to John R. Traynor United States John R. Traynor's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lee‐Yuan Liu‐Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Yuan Liu‐Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee‐Yuan Liu‐Chen. 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 Lee‐Yuan Liu‐Chen. The network helps show where Lee‐Yuan Liu‐Chen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lee‐Yuan Liu‐Chen, 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 Lee‐Yuan Liu‐Chen Line = papers co-authored together Lee‐Yuan Liu‐Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20226
4 202039
5 201898
6 201614
7 201350
8 201296
9 201122
10 2009138
11 200920
12 200826
13 200827
14 200623
15 200656
16 200554
17 200528
18 199674
19 199522
20 198647

About Lee‐Yuan Liu‐Chen

Lee‐Yuan Liu‐Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 152 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (118 papers), Receptor Mechanisms and Signaling (108 papers), Pharmacological Receptor Mechanisms and Effects (51 papers), Pain Mechanisms and Treatments (25 papers), Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Pharmacological Effects and Assays (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.3k citations), Molecular Biology (4.1k citations) and Toxicology (171 citations). Lee‐Yuan Liu‐Chen has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Chongguang Chen, Peng Huang, Michael A. Moskowitz, Jianguo Li, Wei Xu, Yu‐Lin Wang, Jinmin Zhu, A. Cowan, Christopher S. Chen and David Y.W. Lee. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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