Pei‐Chun Chen
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Neurology top 5%
- Neurology top 5%
- Co-authors
- Jeffrey A. JohnsonDelinda A. JohnsonMarcelo R. VargasChing‐Fu ChenMarcus J. CalkinsJin‐Chung ChenShow‐Ling ShyngAndrew D. Kraft
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Ion channel regulation and function (7 papers)Receptor Mechanisms and Signaling (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Pei‐Chun Chen
50 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 510
- Physiology 306
- Neurology 266
- Neurology 234
Countries citing papers authored by Pei‐Chun Chen
This map shows the geographic impact of Pei‐Chun 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 Pei‐Chun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Chun Chen more than expected).
Fields of papers citing papers by Pei‐Chun Chen
This network shows the impact of papers produced by Pei‐Chun 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 Pei‐Chun Chen. The network helps show where Pei‐Chun Chen may publish in the future.
Co-authorship network of co-authors of Pei‐Chun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Chun Chen. A scholar is included among the top collaborators of Pei‐Chun 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 Pei‐Chun Chen. Pei‐Chun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 37 | |
| 4 | 6 | |
| 5 | 18 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 16 | |
| 9 | 23 | |
| 10 | 31 | |
| 11 | 34 | |
| 12 | Cardiovascular disease and colorectal cancer: A population-based observation in Taiwan | 3 |
| 13 | 67 | |
| 14 | 51 | |
| 15 | 37 | |
| 16 | 492 | |
| 17 | 29 | |
| 18 | 39 | |
| 19 | 50 | |
| 20 | 42 |
About Pei‐Chun Chen
Pei‐Chun Chen is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Ion channel regulation and function (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Biological Psychiatry (168 citations), Neurology (266 citations) and Cellular and Molecular Neuroscience (510 citations). Pei‐Chun Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Jeffrey A. Johnson, Delinda A. Johnson, Marcelo R. Vargas, Ching‐Fu Chen, Marcus J. Calkins, Jin‐Chung Chen, Show‐Ling Shyng, Andrew D. Kraft, Rebekah J. Jakel and Yuet Wai Kan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.