Kai‐Chun Chang

66 total papers · 577 total citations
38 papers, 389 citations indexed

About

Kai‐Chun Chang is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kai‐Chun Chang has authored 38 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Biomedical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Kai‐Chun Chang's work include RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). Kai‐Chun Chang is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). Kai‐Chun Chang collaborates with scholars based in Taiwan, United States and China. Kai‐Chun Chang's co-authors include Chun‐Pin Lin, Adam R. Abate, Hao-Hueng Chang, Jin‐Der Wen, Leqian Liu, Feng‐Huei Lin, Huei Wang, Yunshan Wang, Pengfei Zhang and Lee‐Wei Yang and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Nature Communications.

In The Last Decade

Kai‐Chun Chang

36 papers receiving 384 citations

Hit Papers

Metabolic Dysfunction-Ass... 2025 2026 2025 4 8 12

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai‐Chun Chang 154 99 65 58 36 38 389
Yuxi Wang 198 1.3× 140 1.4× 17 0.3× 18 0.3× 43 1.2× 28 438
Qi Zhou 75 0.5× 168 1.7× 16 0.2× 40 0.7× 60 1.7× 22 410
Peter Owens 105 0.7× 126 1.3× 10 0.2× 33 0.6× 77 2.1× 22 416
Mariko Kawai 160 1.0× 110 1.1× 7 0.1× 34 0.6× 72 2.0× 35 431
Miao Yu 70 0.5× 85 0.9× 113 1.7× 24 0.4× 40 1.1× 42 359
Shuichiro Kobayashi 77 0.5× 73 0.7× 20 0.3× 10 0.2× 31 0.9× 24 429
Polina Bikmulina 64 0.4× 177 1.8× 79 1.2× 20 0.3× 63 1.8× 28 415
Santosh Poonnoose 91 0.6× 94 0.9× 20 0.3× 61 1.1× 102 2.8× 30 445
Deirdre M. Kavanagh 126 0.8× 84 0.8× 31 0.5× 21 0.4× 17 0.5× 19 361
Paula Demétrio De Souza França 122 0.8× 51 0.5× 23 0.4× 13 0.2× 62 1.7× 23 359

Countries citing papers authored by Kai‐Chun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Chun Chang. 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 Kai‐Chun Chang. The network helps show where Kai‐Chun Chang may publish in the future.

Co-authorship network of co-authors of Kai‐Chun Chang

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

All Works

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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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