Keehyoung Joo

3.1k total citations · 1 hit paper
49 papers, 2.2k citations indexed

About

Keehyoung Joo is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Keehyoung Joo has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 25 papers in Materials Chemistry and 10 papers in Spectroscopy. Recurrent topics in Keehyoung Joo's work include Protein Structure and Dynamics (34 papers), Enzyme Structure and Function (25 papers) and Machine Learning in Bioinformatics (11 papers). Keehyoung Joo is often cited by papers focused on Protein Structure and Dynamics (34 papers), Enzyme Structure and Function (25 papers) and Machine Learning in Bioinformatics (11 papers). Keehyoung Joo collaborates with scholars based in South Korea, United States and Poland. Keehyoung Joo's 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 and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Keehyoung Joo

47 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8

2009 1.1k citations Elmar Krieger, Keehyoung Joo et al. Proteins Structure Function and Bioinformatics profile →

Peers

Keehyoung Joo

CTM

GENET

SPECT

Nicholas Furnham United Kingdom

Ivan Anishchenko United States

José M. Duarte United States

Thomas Madej United States

Lukáš Pravda Czechia

Maarten L. Hekkelman Netherlands

Shuchismita Dutta United States

José Ramón López‐Blanco Spain

Suhail A. Islam United Kingdom

Gydo C. P. van Zundert Netherlands

Nicholas Furnham United Kingdom

Keehyoung Joo

1.8k ×1.1

488 ×1.0

348 ×1.4

CTM

239 ×1.3

GENET

115 ×1.0

SPECT

Citations per year, relative to Keehyoung Joo Keehyoung Joo (= 1×) peers Nicholas Furnham

Countries citing papers authored by Keehyoung Joo

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Keehyoung Joo

This figure shows the co-authorship network connecting the top 25 collaborators of Keehyoung Joo. A scholar is included among the top collaborators of Keehyoung Joo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keehyoung Joo. Keehyoung Joo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Pei, Vikash Kumar, Cecylia S. Lupala, et al.. (2022). Direct experimental observation of blue-light-induced conformational change and intermolecular interactions of cryptochrome. Communications Biology. 5(1). 1103–1103. 8 indexed citations

Park, Jae‐Hyun, Ji-Hye Yun, Keehyoung Joo, et al.. (2020). A Coil-to-Helix Transition Serves as a Binding Motif for hSNF5 and BAF155 Interaction. International Journal of Molecular Sciences. 21(7). 2452–2452. 2 indexed citations

Karczyńska, Agnieszka, Urszula Uciechowska, Magdalena A. Mozolewska, et al.. (2020). Improved Consensus-Fragment Selection in Template-Assisted Prediction of Protein Structures with the UNRES Force Field in CASP13. Journal of Chemical Information and Modeling. 60(3). 1844–1864. 12 indexed citations

Yagi‐Utsumi, Maho, Chihong Song, Jimin Park, et al.. (2020). Supramolecular tholos-like architecture constituted by archaeal proteins without functional annotation. Scientific Reports. 10(1). 1540–1540. 6 indexed citations

Joung, InSuk, Jong Yun Kim, Keehyoung Joo, & Jooyoung Lee. (2019). Non-sequential protein structure alignment by conformational space annealing and local refinement. PLoS ONE. 14(1). e0210177–e0210177. 2 indexed citations

Joo, Keehyoung, et al.. (2018). Data‐assisted protein structure modeling by global optimization in CASP12. Proteins Structure Function and Bioinformatics. 86(S1). 240–246. 4 indexed citations

Karczyńska, Agnieszka, Magdalena A. Mozolewska, Paweł Krupa, et al.. (2018). Use of the UNRES force field in template-assisted prediction of protein structures and the refinement of server models: Test with CASP12 targets. Journal of Molecular Graphics and Modelling. 83. 92–99. 18 indexed citations

Kwak, Mi‐Jeong, J. Dongun Kim, Hyunmin Kim, et al.. (2017). Architecture of the type IV coupling protein complex of Legionella pneumophila. Nature Microbiology. 2(9). 17114–17114. 55 indexed citations

Elofsson, Arne, Keehyoung Joo, Chen Keasar, et al.. (2017). Methods for estimation of model accuracy in CASP12. Proteins Structure Function and Bioinformatics. 86(S1). 361–373. 27 indexed citations

10.

Lee, Jooyoung, Keehyoung Joo, InSuk Joung, et al.. (2016). Protein Structure Determination by Conformational Space Annealing using NMR Geometric Restraints. Biophysical Journal. 110(3). 188a–188a.

11.

Joo, Keehyoung, InSuk Joung, Jinhyuk Lee, et al.. (2015). Protein structure determination by conformational space annealing using NMR geometric restraints. Proteins Structure Function and Bioinformatics. 83(12). 2251–2262. 12 indexed citations

12.

Joo, Keehyoung, Juyong Lee, Sun‐Young Lee, et al.. (2013). Protein structure modeling for CASP10 by multiple layers of global optimization. Proteins Structure Function and Bioinformatics. 82(S2). 188–195. 33 indexed citations

13.

Seo, Joo‐Hyun, et al.. (2010). Necessary and sufficient conditions for the asymmetric synthesis of chiral amines using ω‐aminotransferases. Biotechnology and Bioengineering. 108(2). 253–263. 44 indexed citations

14.

Krieger, Elmar, Keehyoung Joo, Jinwoo Lee, et al.. (2009). Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8. Proteins Structure Function and Bioinformatics. 77(S9). 114–122. 1107 indexed citations breakdown →

15.

Woo, Jae‐Sung, Jae-Hong Lim, Ho‐Chul Shin, et al.. (2009). Structural Studies of a Bacterial Condensin Complex Reveal ATP-Dependent Disruption of Intersubunit Interactions. Cell. 136(1). 85–96. 122 indexed citations

16.

Joo, Keehyoung, et al.. (2008). All‐atom chain‐building by optimizing MODELLER energy function using conformational space annealing. Proteins Structure Function and Bioinformatics. 75(4). 1010–1023. 41 indexed citations

17.

Lee, Jinwoo, et al.. (2008). Re‐examination of structure optimization of off‐lattice protein AB models by conformational space annealing. Journal of Computational Chemistry. 29(14). 2479–2484. 16 indexed citations

18.

Joo, Keehyoung, et al.. (2007). High accuracy template based modeling by global optimization. Proteins Structure Function and Bioinformatics. 69(S8). 83–89. 56 indexed citations

19.

Joo, Keehyoung, Ilsoo Kim, Seung‐Yeon Kim, et al.. (2004). Prediction of the secondary structures of proteins by using PREDICT, a nearest neighbor method on pattern space. Journal of the Korean Physical Society. 45(6). 1441–1449. 8 indexed citations

20.

Lee, Julian, et al.. (2004). Prediction of protein tertiary structure using PROFESY, a novel method based on fragment assembly and conformational space annealing. Proteins Structure Function and Bioinformatics. 56(4). 704–714. 55 indexed citations

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.

Explore authors with similar magnitude of impact