Jenn‐Kang Hwang

5.7k total citations · 2 hit papers
52 papers, 4.3k citations indexed

About

Jenn‐Kang Hwang is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jenn‐Kang Hwang has authored 52 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 21 papers in Materials Chemistry and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jenn‐Kang Hwang's work include Protein Structure and Dynamics (33 papers), Enzyme Structure and Function (21 papers) and Machine Learning in Bioinformatics (14 papers). Jenn‐Kang Hwang is often cited by papers focused on Protein Structure and Dynamics (33 papers), Enzyme Structure and Function (21 papers) and Machine Learning in Bioinformatics (14 papers). Jenn‐Kang Hwang collaborates with scholars based in Taiwan, United States and Argentina. Jenn‐Kang Hwang's co-authors include Chin‐Sheng Yu, Chih‐Hao Lu, Yu‐Chi Chen, Chih‐Jen Lin, Arieh Warshel, Shao‐Wei Huang, Ming‐Tat Ko, Yu‐Feng Lin, Yung-Hao Wong and Hsien‐Da Huang and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Jenn‐Kang Hwang

51 papers receiving 4.3k citations

Hit Papers

Prediction of protein subcellular localization 2004 2026 2011 2018 2006 2004 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jenn‐Kang Hwang Taiwan 25 3.0k 927 423 289 259 52 4.3k
Daniel R. Ripoll United States 39 3.4k 1.1× 1.2k 1.3× 1.1k 2.6× 374 1.3× 279 1.1× 100 4.9k
Se Won Suh South Korea 40 4.2k 1.4× 650 0.7× 906 2.1× 91 0.3× 496 1.9× 196 5.7k
Boguslaw Stec United States 38 3.1k 1.0× 410 0.4× 903 2.1× 91 0.3× 284 1.1× 106 5.3k
Lukasz Jaroszewski United States 37 4.3k 1.4× 456 0.5× 1.1k 2.6× 111 0.4× 437 1.7× 97 5.6k
René Wintjens Belgium 33 1.9k 0.6× 386 0.4× 309 0.7× 101 0.3× 249 1.0× 86 3.5k
Ian D. Kerr United Kingdom 37 3.1k 1.0× 758 0.8× 145 0.3× 184 0.6× 263 1.0× 123 4.8k
Radka Svobodová Vařeková Czechia 19 2.3k 0.8× 264 0.3× 547 1.3× 103 0.4× 212 0.8× 69 3.4k
Yoav Peleg Israel 32 2.2k 0.7× 406 0.4× 168 0.4× 161 0.6× 378 1.5× 105 3.5k
Pei Zhou United States 50 4.3k 1.4× 716 0.8× 464 1.1× 58 0.2× 712 2.7× 217 6.5k
Dirk W. Heinz Germany 42 3.6k 1.2× 295 0.3× 972 2.3× 101 0.3× 556 2.1× 101 5.3k

Countries citing papers authored by Jenn‐Kang Hwang

Since Specialization
Citations

This map shows the geographic impact of Jenn‐Kang 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 Jenn‐Kang Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenn‐Kang Hwang more than expected).

Fields of papers citing papers by Jenn‐Kang Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenn‐Kang 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 Jenn‐Kang Hwang. The network helps show where Jenn‐Kang Hwang may publish in the future.

Co-authorship network of co-authors of Jenn‐Kang Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Jenn‐Kang Hwang. A scholar is included among the top collaborators of Jenn‐Kang Hwang 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 Jenn‐Kang Hwang. Jenn‐Kang Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Sung‐Huan, et al.. (2014). Local Packing Density Is the Main Structural Determinant of the Rate of Protein Sequence Evolution at Site Level. BioMed Research International. 2014. 1–10. 31 indexed citations
2.
Chen, Chih-Chieh, et al.. (2013). Computational Analysis of KRAS Mutations: Implications for Different Effects on the KRAS p.G12D and p.G13D Mutations. PLoS ONE. 8(2). e55793–e55793. 62 indexed citations
3.
Yu, Sung‐Huan, et al.. (2013). Site-Specific Structural Constraints on Protein Sequence Evolutionary Divergence: Local Packing Density versus Solvent Exposure. Molecular Biology and Evolution. 31(1). 135–139. 57 indexed citations
4.
Liu, Yen‐Yi, et al.. (2012). Deriving correlated motions in proteins from X-ray structure refinement by using TLS parameters. Gene. 518(1). 52–58. 1 indexed citations
5.
Chang, Chih‐Min, et al.. (2012). Evolutionary information hidden in a single protein structure. Proteins Structure Function and Bioinformatics. 80(6). 1647–1657. 34 indexed citations
6.
Huang, Shao‐Wei, et al.. (2011). On the Relationship Between Catalytic Residues and their Protein Contact Number. Current Protein and Peptide Science. 12(6). 574–579. 13 indexed citations
7.
Lu, Chih‐Hao, et al.. (2008). On the relationship between the protein structure and protein dynamics. Proteins Structure Function and Bioinformatics. 72(2). 625–634. 18 indexed citations
8.
Yu, Chin‐Sheng & Jenn‐Kang Hwang. (2008). Prediction of Protein Subcellular Localizations. 165–170. 9 indexed citations
9.
Lin, Chih‐Peng, et al.. (2008). Deriving protein dynamical properties from weighted protein contact number. Proteins Structure Function and Bioinformatics. 72(3). 929–935. 63 indexed citations
10.
Lu, Chih‐Hao, Yu‐Chi Chen, Chin‐Sheng Yu, & Jenn‐Kang Hwang. (2007). Predicting disulfide connectivity patterns. Proteins Structure Function and Bioinformatics. 67(2). 262–270. 22 indexed citations
11.
Huang, Shao‐Wei, et al.. (2007). Crystal Structure of Helicobacter pylori Formamidase AmiF Reveals a Cysteine-Glutamate-Lysine Catalytic Triad. Journal of Biological Chemistry. 282(16). 12220–12229. 47 indexed citations
12.
13.
Hsu, Shih‐Kuang, et al.. (2006). Structure–Stability–Activity Relationship in Covalently Cross-linked N-Carbamoyl d-Amino acid Amidohydrolase and N-Acylamino acid Racemase. Journal of Molecular Biology. 359(3). 741–753. 29 indexed citations
14.
Yu, Chin‐Sheng, Yu‐Chi Chen, Chih‐Hao Lu, & Jenn‐Kang Hwang. (2006). Prediction of protein subcellular localization. Proteins Structure Function and Bioinformatics. 64(3). 643–651. 1349 indexed citations breakdown →
15.
Ko, Ming‐Tat, et al.. (2005). Amino acid coupling patterns in thermophilic proteins. Proteins Structure Function and Bioinformatics. 59(1). 58–63. 42 indexed citations
16.
Chan, Chen‐hsiung, et al.. (2004). Relationship between local structural entropy and protein thermostabilty. Proteins Structure Function and Bioinformatics. 57(4). 684–691. 56 indexed citations
17.
Horng, Jorng‐Tzong, et al.. (2003). Computing motif correlations in proteins. Journal of Computational Chemistry. 24(16). 2032–2043. 2 indexed citations
18.
Yang, Jinn‐Moon, et al.. (2002). GEM: A Gaussian evolutionary method for predicting protein side‐chain conformations. Protein Science. 11(8). 1897–1907. 16 indexed citations
19.
Hwang, Jenn‐Kang. (1999). The partial averaging Fourier path Integral approach based on the harmonic reference path. Theoretical Chemistry Accounts. 101(5). 359–363. 4 indexed citations
20.
Hwang, Jenn‐Kang. (1998). Calculation of quantum mechanical free energy at low temperature. Theoretical Chemistry Accounts. 98(4). 202–205. 2 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.

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