Kuo‐Chen Chou

2.4k total citations
25 papers, 2.1k citations indexed

About

Kuo‐Chen Chou is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Kuo‐Chen Chou has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 2 papers in Organic Chemistry. Recurrent topics in Kuo‐Chen Chou's work include Machine Learning in Bioinformatics (12 papers), Protein Structure and Dynamics (10 papers) and RNA and protein synthesis mechanisms (10 papers). Kuo‐Chen Chou is often cited by papers focused on Machine Learning in Bioinformatics (12 papers), Protein Structure and Dynamics (10 papers) and RNA and protein synthesis mechanisms (10 papers). Kuo‐Chen Chou collaborates with scholars based in United States, China and Canada. Kuo‐Chen Chou's co-authors include Yu‐Dong Cai, Dong‐Qing Wei, Xuan Xiao, Suzanne Sirois, Louis Carlacci, Robert L. Heinrikson, David N. M. Jones, Xin Wen, Yan Xu and Xiaojian Shao and has published in prestigious journals such as Bioinformatics, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Kuo‐Chen Chou

25 papers receiving 2.0k citations

Peers

Kuo‐Chen Chou
Comparison fields: 5 of 108
  • Molecular Biology 1.8k
  • Computational Theory and Mathematics 378
  • Epidemiology 79
  • Infectious Diseases 75
  • Materials Chemistry 72
Replace Shan Chang with:
Shan Chang China
Rao Sethumadhavan India
Lingqi Luo United States
Miriam Sgobba Italy
Andras Boeszoermenyi United States
Zhongjie Liang China
Andrew Krueger United States
Stephen L. Mathias United States
Matteo Floris Italy
Shan Chang China View profile →
Citations per field, relative to Kuo‐Chen Chou
Kuo‐Chen Chou · 1×
Citations per year, relative to Kuo‐Chen Chou
Kuo‐Chen Chou · 1×

Countries citing papers authored by Kuo‐Chen Chou

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Chen Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Chen Chou. 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 Kuo‐Chen Chou. The network helps show where Kuo‐Chen Chou may publish in the future.

Co-authorship network of co-authors of Kuo‐Chen Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Chen Chou. A scholar is included among the top collaborators of Kuo‐Chen Chou 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 Kuo‐Chen Chou. Kuo‐Chen Chou 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
# Work Indexed citations
1 124
2 81
3 1
4 187
5 49
6 38
7 20
8 105
9 91
10 53
11 75
12 68
13 69
14 154
15 54
16 75
17 116
18 10
19 69
20 22

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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2026