Jae‐Won Yang
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- Ion channel regulation and function
- Ubiquitin and proteasome pathways
- Machine Learning in Bioinformatics
Papers in
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- Receptor Mechanisms and Signaling 10
- Ion channel regulation and function 10
- Machine Learning in Bioinformatics 4
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- Neuroscience and Neuropharmacology Research 19
- Neurotransmitter Receptor Influence on Behavior 10
- Co-authors
- Gert Lübec (30 shared papers)Thomas Czech (5 shared papers)Leila Afjehi‐Sadat (4 shared papers)Harald H. Sitte (18 shared papers)Julius Paul Pradeep John (1 shared paper)James S. Trimmer (3 shared papers)Christoph Baumgartner (2 shared papers)Kang-Sik Park (2 shared papers)
- Journals
- Journal of Proteome Research (4 papers)Journal of Biological Chemistry (4 papers)Amino Acids (4 papers)PROTEOMICS (3 papers)BMC Pharmacology and Toxicology (3 papers)
- Partner nations
- AustriaUnited StatesSouth Korea
In The Last Decade
Jae‐Won Yang
63 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Cellular and Molecular Neuroscience 553
- Molecular Biology 1.2k
- Biological Psychiatry 36
- Cell Biology 228
- Physiology 51
Countries citing papers authored by Jae‐Won Yang
This map shows the geographic impact of Jae‐Won Yang'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 Jae‐Won Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Won Yang more than expected).
Fields of papers citing papers by Jae‐Won Yang
This network shows the impact of papers produced by Jae‐Won Yang. 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 Jae‐Won Yang. The network helps show where Jae‐Won Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae‐Won Yang, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 196 | |
| 2 | 2005 | 148 | |
| 3 | 2006 | 97 | |
| 4 | 2004 | 74 | |
| 5 | 2012 | 74 | |
| 6 | 2003 | 64 | |
| 7 | 2007 | 63 | |
| 8 | 2013 | 62 | |
| 9 | 2011 | 56 | |
| 10 | 2004 | 55 | |
| 11 | 2022 | 52 | |
| 12 | 2012 | 48 | |
| 13 | 2012 | 45 | |
| 14 | 2008 | 45 | |
| 15 | 2011 | 43 | |
| 16 | 2006 | 40 | |
| 17 | 2008 | 40 | |
| 18 | 2003 | 40 | |
| 19 | 2005 | 34 | |
| 20 | 2004 | 27 |
About Jae‐Won Yang
Jae‐Won Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Spectroscopy and Genetics, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (10 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Ion channel regulation and function (10 papers), Advanced Proteomics Techniques and Applications (7 papers), Cardiac electrophysiology and arrhythmias (5 papers), Drug Transport and Resistance Mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (553 citations), Molecular Biology (1.2k citations), Biological Psychiatry (36 citations), Cell Biology (228 citations) and Physiology (51 citations). Jae‐Won Yang has collaborated with scholars based in Austria, United States and South Korea. Frequent co-authors include Gert Lübec, Thomas Czech, Leila Afjehi‐Sadat, Harald H. Sitte, Julius Paul Pradeep John, James S. Trimmer, Christoph Baumgartner, Kang-Sik Park, Hélène Vacher and Marion Holy. Their work appears in journals such as Journal of Proteome Research, Journal of Biological Chemistry, Amino Acids, PROTEOMICS and BMC Pharmacology and Toxicology.
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.