Howook Hwang
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Protein Structure and Dynamics 16
- Protein purification and stability 3
- Bioinformatics and Genomic Networks 2
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- Computational Drug Discovery Methods 8
- Co-authors
- Zhiping Weng (12 shared papers)Thom Vreven (9 shared papers)Brian G. Pierce (6 shared papers)Kevin Wiehe (3 shared papers)Bong‐Hyun Kim (1 shared paper)Joël Janin (3 shared papers)Julian Mintseris (2 shared papers)Iain H. Moal (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (7 papers)Protein Science (5 papers)Cell (1 paper)PLoS ONE (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Howook Hwang
18 papers receiving 2.6k citations
Howook Hwang's Hit Papers
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 531
- Molecular Biology 1.9k
- Radiology, Nuclear Medicine and Imaging 243
- Microbiology 61
- Immunology 196
Countries citing papers authored by Howook Hwang
This map shows the geographic impact of Howook Hwang'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 Howook Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howook Hwang more than expected).
Fields of papers citing papers by Howook Hwang
This network shows the impact of papers produced by Howook Hwang. 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 Howook Hwang. The network helps show where Howook Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Howook Hwang, 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 | ZDOCK server: interactive docking prediction of protein–protein complexes and symmetric multimers Hit paper breakdown → | 2014 | 1309 |
| 2 | 2010 | 394 | |
| 3 | 2011 | 241 | |
| 4 | 2008 | 208 | |
| 5 | 2011 | 68 | |
| 6 | 2012 | 68 | |
| 7 | 2010 | 65 | |
| 8 | 2007 | 59 | |
| 9 | 2017 | 40 | |
| 10 | 2015 | 33 | |
| 11 | 2015 | 27 | |
| 12 | 2013 | 23 | |
| 13 | 2013 | 22 | |
| 14 | 2024 | 12 | |
| 15 | 2013 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2011 | 6 | |
| 18 | 2019 | 4 |
About Howook Hwang
Howook Hwang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Pharmacology and Cell Biology, having authored 18 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Computational Drug Discovery Methods (8 papers), Enzyme Structure and Function (6 papers), Protein purification and stability (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Bioinformatics and Genomic Networks (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (531 citations), Molecular Biology (1.9k citations), Radiology, Nuclear Medicine and Imaging (243 citations), Microbiology (61 citations) and Immunology (196 citations). Howook Hwang has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Zhiping Weng, Thom Vreven, Brian G. Pierce, Kevin Wiehe, Bong‐Hyun Kim, Joël Janin, Julian Mintseris, Iain H. Moal, Panagiotis L. Kastritis and Alexandre M. J. J. Bonvin. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Protein Science, Cell, PLoS ONE and Proceedings of the National Academy of 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.