Sunhwan Jo
Impact in
- Molecular Biology top 0.2%
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- RNA and protein synthesis mechanisms
- Ion channel regulation and function
- Microbiology top 0.5%
Papers in
-
- Protein Structure and Dynamics 42
- Lipid Membrane Structure and Behavior 13
- Glycosylation and Glycoproteins Research 11
- DNA and Nucleic Acid Chemistry 8
- Spectroscopy 11
- Advanced NMR Techniques and Applications 8
- Co-authors
- Wonpil ImTaehoon KimVidyashankara IyerJeffery B. KlaudaJumin LeeYifei QiXi ChengJoseph B. Lim
- Journals
- Biophysical Journal (17 papers)Journal of Computational Chemistry (9 papers)Journal of Chemical Theory and Computation (7 papers)Journal of Chemical Information and Modeling (5 papers)The Journal of Physical Chemistry B (4 papers)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Sunhwan Jo
69 papers receiving 16.9k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 12.6k
- Microbiology 716
- Cellular and Molecular Neuroscience 1.8k
- Computational Theory and Mathematics 1.4k
- Molecular Medicine 355
Countries citing papers authored by Sunhwan Jo
This map shows the geographic impact of Sunhwan Jo'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 Sunhwan Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunhwan Jo more than expected).
Fields of papers citing papers by Sunhwan Jo
This network shows the impact of papers produced by Sunhwan Jo. 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 Sunhwan Jo. The network helps show where Sunhwan Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunhwan Jo, 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 | 2023 | 5 | |
| 2 | 2023 | 16 | |
| 3 | 2020 | 1 | |
| 4 | 2020 | 42 | |
| 5 | 2017 | 5 | |
| 6 | 2016 | 181 | |
| 7 | 2014 | 99 | |
| 8 | 2014 | 256 | |
| 9 | 2014 | 1 | |
| 10 | 2014 | 23 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 2 | |
| 13 | 2013 | 144 | |
| 14 | 2012 | 33 | |
| 15 | 2011 | 2 | |
| 16 | 2011 | 172 | |
| 17 | 2011 | 21 | |
| 18 | 2011 | 15 | |
| 19 | 2009 | 15 | |
| 20 | CHARMM-GUI Membrane Builder for Mixed Bilayers and Its Application to Yeast Membranes Hit paper breakdown → | 2009 | 1301 |
About Sunhwan Jo
Sunhwan Jo is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Endocrinology and Materials Chemistry, having authored 69 papers that have together received 17.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (42 papers), Lipid Membrane Structure and Behavior (13 papers), Enzyme Structure and Function (13 papers), Glycosylation and Glycoproteins Research (11 papers), Computational Drug Discovery Methods (10 papers), Advanced NMR Techniques and Applications (8 papers), Spectroscopy and Quantum Chemical Studies (8 papers) and DNA and Nucleic Acid Chemistry (8 papers). The work is most often cited by research in Molecular Biology (12.6k citations), Microbiology (716 citations), Cellular and Molecular Neuroscience (1.8k citations), Computational Theory and Mathematics (1.4k citations) and Molecular Medicine (355 citations). Sunhwan Jo has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Wonpil Im, Taehoon Kim, Vidyashankara Iyer, Jeffery B. Klauda, Jumin Lee, Yifei Qi, Xi Cheng, Joseph B. Lim, Alexander D. MacKerell and Charles L. Brooks. Their work appears in journals such as Biophysical Journal, Journal of Computational Chemistry, Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling and The Journal of Physical Chemistry B.
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.