Wonchul Shin
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
-
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
-
- Lipid Membrane Structure and Behavior 18
- Cell Biology 18
- Cellular transport and secretion 18
- Co-authors
- Hsueh‐Cheng Chiang (7 shared papers)Ling-Gang Wu (7 shared papers)Edaeni Hamid (6 shared papers)R. S. Besser (5 shared papers)Peter J. Wen (4 shared papers)Gianvito Arpino (8 shared papers)Kevin D. Gillis (3 shared papers)Seth A. Villarreal (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Nature Communications (3 papers)Cell Reports (3 papers)Science Advances (2 papers)Journal of Power Sources (2 papers)
- Partner nations
- United StatesRussiaSweden
In The Last Decade
Wonchul Shin
26 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Cell Biology 699
- Cellular and Molecular Neuroscience 446
- Structural Biology 24
- Physiology 75
- Biophysics 87
Countries citing papers authored by Wonchul Shin
This map shows the geographic impact of Wonchul Shin'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 Wonchul Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonchul Shin more than expected).
Fields of papers citing papers by Wonchul Shin
This network shows the impact of papers produced by Wonchul Shin. 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 Wonchul Shin. The network helps show where Wonchul Shin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wonchul Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 314 | |
| 2 | 2018 | 149 | |
| 3 | 2016 | 117 | |
| 4 | 2016 | 109 | |
| 5 | 2012 | 108 | |
| 6 | 2003 | 87 | |
| 7 | 2013 | 71 | |
| 8 | 2014 | 69 | |
| 9 | 2003 | 60 | |
| 10 | 2013 | 56 | |
| 11 | 2011 | 51 | |
| 12 | 2007 | 47 | |
| 13 | 2012 | 34 | |
| 14 | 2020 | 32 | |
| 15 | 2006 | 31 | |
| 16 | 2006 | 24 | |
| 17 | 2021 | 21 | |
| 18 | 2003 | 20 | |
| 19 | 2013 | 19 | |
| 20 | 2022 | 18 |
About Wonchul Shin
Wonchul Shin is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Physiology and Biophysics, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (18 papers), Cellular transport and secretion (18 papers), Erythrocyte Function and Pathophysiology (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Force Microscopy Techniques and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cell Biology (699 citations), Cellular and Molecular Neuroscience (446 citations), Structural Biology (24 citations), Physiology (75 citations) and Biophysics (87 citations). Wonchul Shin has collaborated with scholars based in United States, Russia and Sweden. Frequent co-authors include Hsueh‐Cheng Chiang, Ling-Gang Wu, Edaeni Hamid, R. S. Besser, Peter J. Wen, Gianvito Arpino, Kevin D. Gillis, Seth A. Villarreal, Fujun Luo and Jiansong Sheng. Their work appears in journals such as Journal of Neuroscience, Nature Communications, Cell Reports, Science Advances and Journal of Power Sources.
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.