Lee‐Yuan Liu‐Chen

7.4k citations
152 papers · 6.2k indexed · h-index 46
Topics
Neuropeptides and Animal Physiology (118 papers)Receptor Mechanisms and Signaling (108 papers)Pharmacological Receptor Mechanisms and Effects (51 papers)

In The Last Decade

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
  • Physiology 1.3k
  • Psychiatry and Mental health 324
  • Pharmacology 322
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
00.5×
John R. Traynor · 1×
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 of co-authors of Lee‐Yuan Liu‐Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Yuan Liu‐Chen. A scholar is included among the top collaborators of Lee‐Yuan Liu‐Chen 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 Lee‐Yuan Liu‐Chen. Lee‐Yuan Liu‐Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 6
4 39
5 98
6 14
7 50
8 96
9 22
10 138
11 20
12 26
13 27
14 23
15 56
16 54
17 28
18 74
19 22
20 47

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) and Pharmacological Receptor Mechanisms and Effects (51 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026