Eugene Chun
Impact in
-
- Neuropeptides and Animal Physiology
- Physiology top 1%
- Adenosine and Purinergic Signaling
Papers in
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- Receptor Mechanisms and Signaling 6
- Lipid Membrane Structure and Behavior 3
- RNA and protein synthesis mechanisms 2
- Protein Degradation and Inhibitors 1
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- Neuropeptides and Animal Physiology 6
- Co-authors
- Aaron A. Thompson (4 shared papers)Raymond C. Stevens (4 shared papers)Vadim Cherezov (4 shared papers)Vsevolod Katritch (3 shared papers)Wei Liu (4 shared papers)C. Roth (2 shared papers)Fei Xu (2 shared papers)Laura H. Heitman (1 shared paper)
- Journals
- Methods (1 paper)Epilepsia (1 paper)Trends in Biochemical Sciences (1 paper)Nature (1 paper)Trends in Pharmacological Sciences (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Eugene Chun
12 papers receiving 1.7k citations
Eugene Chun's Hit Papers
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 844
- Physiology 189
- Molecular Biology 1.6k
- Structural Biology 18
- Radiology, Nuclear Medicine and Imaging 242
Countries citing papers authored by Eugene Chun
This map shows the geographic impact of Eugene Chun'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 Eugene Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Chun more than expected).
Fields of papers citing papers by Eugene Chun
This network shows the impact of papers produced by Eugene Chun. 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 Eugene Chun. The network helps show where Eugene Chun may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Chun, 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 | Structural Basis for Allosteric Regulation of GPCRs by Sodium Ions Hit paper breakdown → | 2012 | 781 |
| 2 | 2012 | 392 | |
| 3 | 2012 | 334 | |
| 4 | 2011 | 73 | |
| 5 | 2021 | 58 | |
| 6 | 2016 | 49 | |
| 7 | 2017 | 29 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 12 | |
| 10 | 2006 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2018 | 3 |
About Eugene Chun
Eugene Chun is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Ophthalmology, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (6 papers), Lipid Membrane Structure and Behavior (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Retinal Diseases and Treatments (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (844 citations), Physiology (189 citations), Molecular Biology (1.6k citations), Structural Biology (18 citations) and Radiology, Nuclear Medicine and Imaging (242 citations). Eugene Chun has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Aaron A. Thompson, Raymond C. Stevens, Vadim Cherezov, Vsevolod Katritch, Wei Liu, C. Roth, Fei Xu, Laura H. Heitman, Adriaan P. IJzerman and Gye Won Han. Their work appears in journals such as Methods, Epilepsia, Trends in Biochemical Sciences, Nature and Trends in Pharmacological Sciences.
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.