Shih-Chieh Su

970 total citations · 1 hit paper
28 papers, 599 citations indexed

About

Shih-Chieh Su is a scholar working on Molecular Biology, Infectious Diseases and Materials Chemistry. According to data from OpenAlex, Shih-Chieh Su has authored 28 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Materials Chemistry. Recurrent topics in Shih-Chieh Su's work include Protein Structure and Dynamics (7 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (6 papers). Shih-Chieh Su is often cited by papers focused on Protein Structure and Dynamics (7 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (6 papers). Shih-Chieh Su collaborates with scholars based in Taiwan, United States and China. Shih-Chieh Su's co-authors include Han‐Chung Wu, Kang-Hao Liang, Shih-Han Ko, Feng-Yi Ke, Ruei‐Min Lu, Cheng‐Jian Lin, Chung‐I Chang, Jyh-Jong Tsay, Hsei–Wei Wang and Kou‐Juey Wu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Shih-Chieh Su

28 papers receiving 586 citations

Hit Papers

Monoclonal antibodies for COVID-19 therapy and SARS-CoV-2... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shih-Chieh Su Taiwan 13 316 197 50 48 44 28 599
Xiaokai Li China 11 332 1.1× 136 0.7× 40 0.8× 39 0.8× 66 1.5× 32 639
Marek Kochańczyk Poland 16 357 1.1× 169 0.9× 38 0.8× 69 1.4× 29 0.7× 33 716
Janet L. Paulsen United States 14 223 0.7× 135 0.7× 29 0.6× 34 0.7× 30 0.7× 16 437
Frédéric Frénois France 12 418 1.3× 224 1.1× 96 1.9× 66 1.4× 32 0.7× 23 658
Ashley Hutchinson Canada 12 347 1.1× 162 0.8× 38 0.8× 48 1.0× 26 0.6× 23 670
Yash Gupta United States 14 353 1.1× 203 1.0× 40 0.8× 53 1.1× 22 0.5× 47 742
Chuan-Tien Hung United States 10 316 1.0× 222 1.1× 38 0.8× 22 0.5× 24 0.5× 15 611
Yixin Xie United States 13 265 0.8× 131 0.7× 17 0.3× 40 0.8× 17 0.4× 52 535
M. Verlato Italy 5 348 1.1× 62 0.3× 34 0.7× 47 1.0× 22 0.5× 17 519
Pascal Rigolet France 12 361 1.1× 80 0.4× 60 1.2× 51 1.1× 29 0.7× 23 599

Countries citing papers authored by Shih-Chieh Su

Since Specialization
Citations

This map shows the geographic impact of Shih-Chieh Su'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 Shih-Chieh Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Chieh Su more than expected).

Fields of papers citing papers by Shih-Chieh Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Chieh Su. 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 Shih-Chieh Su. The network helps show where Shih-Chieh Su may publish in the future.

Co-authorship network of co-authors of Shih-Chieh Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Chieh Su. A scholar is included among the top collaborators of Shih-Chieh Su 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 Shih-Chieh Su. Shih-Chieh Su 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.
Kumari, Monika, Shih-Chieh Su, Hsiu-Ting Lin, et al.. (2025). Enhanced immunogenicity of an mRNA vaccine against dengue virus serotype 2 with modified key residue. Vaccine. 57. 127216–127216. 1 indexed citations
2.
Kumari, Monika, Shih-Chieh Su, Kang-Hao Liang, et al.. (2023). Bivalent mRNA vaccine effectiveness against SARS-CoV-2 variants of concern. Journal of Biomedical Science. 30(1). 46–46. 5 indexed citations
3.
Kumari, Monika, Ruei‐Min Lu, Mu‐Chun Li, et al.. (2022). A critical overview of current progress for COVID-19: development of vaccines, antiviral drugs, and therapeutic antibodies. Journal of Biomedical Science. 29(1). 68–68. 94 indexed citations
4.
Lu, Ruei‐Min, Shih-Chieh Su, Shih-Han Ko, et al.. (2022). Monoclonal antibodies for COVID-19 therapy and SARS-CoV-2 detection. Journal of Biomedical Science. 29(1). 1–1. 157 indexed citations breakdown →
5.
Ko, Shih-Han, Chen Wy, Shih-Chieh Su, et al.. (2022). Monoclonal antibodies against S2 subunit of spike protein exhibit broad reactivity toward SARS-CoV-2 variants. Journal of Biomedical Science. 29(1). 108–108. 7 indexed citations
6.
Li, Shanshan, et al.. (2021). Molecular basis for ATPase-powered substrate translocation by the Lon AAA+ protease. Journal of Biological Chemistry. 297(4). 101239–101239. 14 indexed citations
7.
Li, Shanshan, et al.. (2021). Processive cleavage of substrate at individual proteolytic active sites of the Lon protease complex. Science Advances. 7(46). 15 indexed citations
8.
Su, Shih-Chieh, Chien-Chu Lin, Meng‐Ru Ho, et al.. (2016). Structural Basis for the Magnesium-Dependent Activation and Hexamerization of the Lon AAA+ Protease. Structure. 24(5). 676–686. 28 indexed citations
9.
Lin, Chien-Chu, Shih-Chieh Su, Ming-Yuan Su, et al.. (2016). Structural Insights into the Allosteric Operation of the Lon AAA+ Protease. Structure. 24(5). 667–675. 28 indexed citations
10.
Tsai, Yi‐Lin, et al.. (2016). Aspect-category-based sentiment classification with aspect-opinion relation. 162–169. 5 indexed citations
11.
Chung, I‐Fang, Chen‐Yang Chen, Shih-Chieh Su, et al.. (2015). DriverDBv2: a database for human cancer driver gene research. Nucleic Acids Research. 44(D1). D975–D979. 76 indexed citations
12.
Chang, Wen-Liang, et al.. (2015). An essential role of cAMP response element-binding protein in epidermal growth factor-mediated induction of sodium/glucose cotransporter 1 gene expression and intestinal glucose uptake. The International Journal of Biochemistry & Cell Biology. 64. 239–251. 10 indexed citations
13.
Su, Shih-Chieh, Shu‐Fen Huang, Yu-Chuan Huang, et al.. (2015). An Essential Role of cAMP Response Element Binding Protein in Ginsenoside Rg1-Mediated Inhibition of Na+/Glucose Cotransporter 1 Gene Expression. Molecular Pharmacology. 88(6). 1072–1083. 23 indexed citations
14.
Tsay, Jyh-Jong, Shih-Chieh Su, & Chin‐Sheng Yu. (2015). A Multi-Objective Approach for Protein Structure Prediction Based on an Energy Model and Backbone Angle Preferences. International Journal of Molecular Sciences. 16(7). 15136–15149. 1 indexed citations
15.
Tsay, Jyh-Jong & Shih-Chieh Su. (2013). An effective evolutionary algorithm for protein folding on 3D FCC HP model by lattice rotation and generalized move sets. Proteome Science. 11(Suppl 1). S19–S19. 12 indexed citations
16.
Lin, Cheng‐Jian & Shih-Chieh Su. (2011). Protein 3D HP Model Folding Simulation Using a Hybrid of Genetic Algorithm and Particle Swarm Optimization. International Journal of Fuzzy Systems. 13(2). 140–147. 24 indexed citations
17.
Su, Shih-Chieh, Cheng‐Jian Lin, & Chuan-Kang Ting. (2011). An effective hybrid of hill climbing and genetic algorithm for 2D triangular protein structure prediction. Proteome Science. 9(S1). S19–S19. 25 indexed citations
18.
Chen, Yu–Chen, et al.. (2010). Via configurable three-input lookup-tables for structured ASICs. 49–54. 3 indexed citations
19.
Su, Shih-Chieh, Cheng‐Jian Lin, & Chuan-Kang Ting. (2010). An efficient hybrid of hill-climbing and genetic algorithm for 2D triangular protein structure prediction. 51–56. 2 indexed citations
20.
Su, Shih-Chieh, Chia‐Hung Yeh, & C.‐C. Jay Kuo. (2004). Structural analysis of genomic sequences with matched filtering. 2893–2896. 11 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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