Lee‐Yuan Liu‐Chen
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology 118
- Neuroscience and Neuropharmacology Research 14
- Neurotransmitter Receptor Influence on Behavior 13
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling 108
- Pharmacological Receptor Mechanisms and Effects 51
- Protein Kinase Regulation and GTPase Signaling 5
- Toxicology top 1%
- Physiology top 2%
- Pain Mechanisms and Treatments 25
-
- Pharmacological Effects and Assays 6
- Co-authors
- Chongguang ChenPeng HuangMichael A. MoskowitzJianguo LiWei XuYu‐Lin WangJinmin ZhuA. Cowan
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (12 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Lee‐Yuan Liu‐Chen
150 papers receiving 6.0k citations
Peers
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
Countries citing papers authored by Lee‐Yuan Liu‐Chen
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 6 | |
| 4 | 2020 | 39 | |
| 5 | 2018 | 98 | |
| 6 | 2016 | 14 | |
| 7 | 2013 | 50 | |
| 8 | 2012 | 96 | |
| 9 | 2011 | 22 | |
| 10 | 2009 | 138 | |
| 11 | 2009 | 20 | |
| 12 | 2008 | 26 | |
| 13 | 2008 | 27 | |
| 14 | 2006 | 23 | |
| 15 | 2006 | 56 | |
| 16 | 2005 | 54 | |
| 17 | 2005 | 28 | |
| 18 | 1996 | 74 | |
| 19 | 1995 | 22 | |
| 20 | 1986 | 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), 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.