Chien‐Yuan Pan
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering top 10%
- Cell Biology top 5%
- Co-authors
- Yit‐Tsong ChenLung‐Sen KaoBor‐Ran LiAaron P. FoxYanxi ChenVladimir Yarov‐YarovoyPaul G. DeCaenTodd Scheuer
- Topics
- Ion channel regulation and function (13 papers)Neuroscience and Neuropharmacology Research (10 papers)Neuroscience and Neural Engineering (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Neuroscience
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chien‐Yuan Pan
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 473
- Biomedical Engineering 433
- Electrical and Electronic Engineering 384
- Cell Biology 294
Countries citing papers authored by Chien‐Yuan Pan
This map shows the geographic impact of Chien‐Yuan Pan'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 Chien‐Yuan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Yuan Pan more than expected).
Fields of papers citing papers by Chien‐Yuan Pan
This network shows the impact of papers produced by Chien‐Yuan Pan. 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 Chien‐Yuan Pan. The network helps show where Chien‐Yuan Pan may publish in the future.
Co-authorship network of co-authors of Chien‐Yuan Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Yuan Pan. A scholar is included among the top collaborators of Chien‐Yuan Pan 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 Chien‐Yuan Pan. Chien‐Yuan Pan 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 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 35 | |
| 6 | 23 | |
| 7 | 6 | |
| 8 | 22 | |
| 9 | 10 | |
| 10 | 19 | |
| 11 | 24 | |
| 12 | 23 | |
| 13 | 21 | |
| 14 | 25 | |
| 15 | 9 | |
| 16 | 8 | |
| 17 | 8 | |
| 18 | 12 | |
| 19 | 33 | |
| 20 | 11 |
About Chien‐Yuan Pan
Chien‐Yuan Pan is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Physiology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Bioengineering (158 citations), Cellular and Molecular Neuroscience (473 citations) and Cell Biology (294 citations). Chien‐Yuan Pan has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yit‐Tsong Chen, Lung‐Sen Kao, Bor‐Ran Li, Aaron P. Fox, Yanxi Chen, Vladimir Yarov‐Yarovoy, Paul G. DeCaen, Todd Scheuer, William A. Catterall and Ruth E. Westenbroek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.