Keehyoung Joo
- Molecular Biology top 5%
- Protein Structure and Dynamics 34
- Machine Learning in Bioinformatics 11
- RNA and protein synthesis mechanisms 7
- Genomics and Phylogenetic Studies 5
- Genomics and Chromatin Dynamics 3
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- Computational Drug Discovery Methods 5
- Endocrinology top 10%
- Biotechnology top 5%
- Molecular Medicine top 10%
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- Enzyme Structure and Function 25
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- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Jooyoung LeeJinwoo LeeDavid BakerElmar KriegerMike TykaSrivatsan RamanKevin KarplusJames Thompson
- Partner nations
- South KoreaUnited StatesPoland
In The Last Decade
Keehyoung Joo
47 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.6k
- Computational Theory and Mathematics 243
- Endocrinology 68
- Biotechnology 97
- Molecular Medicine 54
Countries citing papers authored by Keehyoung Joo
This map shows the geographic impact of Keehyoung Joo'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 Keehyoung Joo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keehyoung Joo more than expected).
Fields of papers citing papers by Keehyoung Joo
This network shows the impact of papers produced by Keehyoung Joo. 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 Keehyoung Joo. The network helps show where Keehyoung Joo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keehyoung Joo, 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 | 2022 | 8 | |
| 2 | 2020 | 2 | |
| 3 | 2020 | 12 | |
| 4 | 2020 | 6 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 4 | |
| 7 | 2018 | 18 | |
| 8 | 2017 | 55 | |
| 9 | 2017 | 27 | |
| 10 | 2016 | 0 | |
| 11 | 2015 | 12 | |
| 12 | 2013 | 33 | |
| 13 | 2010 | 44 | |
| 14 | Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8breakdown → | 2009 | 1107 |
| 15 | 2009 | 122 | |
| 16 | 2008 | 41 | |
| 17 | 2008 | 16 | |
| 18 | 2007 | 56 | |
| 19 | Prediction of the secondary structures of proteins by using PREDICT, a nearest neighbor method on pattern space | 2004 | 8 |
| 20 | 2004 | 55 |
About Keehyoung Joo
Keehyoung Joo is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (34 papers), Enzyme Structure and Function (25 papers), Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (7 papers), Computational Drug Discovery Methods (5 papers), Genomics and Phylogenetic Studies (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Computational Theory and Mathematics (243 citations) and Endocrinology (68 citations). Keehyoung Joo has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Jooyoung Lee, Jinwoo Lee, David Baker, Elmar Krieger, Mike Tyka, Srivatsan Raman, Kevin Karplus, James Thompson, Sung Jong Lee and Jooyoung Lee. Their work appears in journals such as Cell, Journal of Biological Chemistry and Bioinformatics.
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.