Kai‐Chun Chang

590 total citations
39 papers, 393 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 39 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Kai‐Chun Chang's work include RNA and protein synthesis mechanisms (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Bacteriophages and microbial interactions (5 papers). Kai‐Chun Chang is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Bacteriophages and microbial interactions (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, Chia-Chieh Chang, Adam R. Abate, Hao-Hueng Chang, Jin‐Der Wen, Leqian Liu, Feng‐Huei Lin, Huei Wang, Yunshan Wang and Pengfei Zhang 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 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai‐Chun Chang Taiwan 12 156 100 66 59 36 39 393
Yurong Liu China 11 87 0.6× 47 0.5× 32 0.5× 60 1.0× 49 1.4× 25 324
Xian Li China 15 273 1.8× 130 1.3× 68 1.0× 13 0.2× 69 1.9× 45 684
P. A. Karalkin Russia 18 171 1.1× 409 4.1× 131 2.0× 66 1.1× 79 2.2× 57 787
Deirdre M. Kavanagh United Kingdom 10 126 0.8× 84 0.8× 31 0.5× 21 0.4× 17 0.5× 19 362
Smiti Bhattacharya United States 6 156 1.0× 202 2.0× 48 0.7× 41 0.7× 34 0.9× 8 414
Souzan Armstrong Canada 13 212 1.4× 63 0.6× 30 0.5× 14 0.2× 36 1.0× 14 494
Hironori Uehara United States 16 314 2.0× 86 0.9× 19 0.3× 17 0.3× 34 0.9× 48 663
Takashi Aoyagi Japan 12 128 0.8× 24 0.2× 83 1.3× 10 0.2× 29 0.8× 46 459
Bo Tang China 11 242 1.6× 101 1.0× 39 0.6× 18 0.3× 18 0.5× 29 441
Rinat Ankri Israel 19 176 1.1× 437 4.4× 54 0.8× 6 0.1× 32 0.9× 41 880

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

20 of 20 papers shown
1.
Chang, Kai‐Chun, Tung‐Hung Su, Cho‐Kai Wu, et al.. (2025). Metabolic Dysfunction-Associated Steatotic Liver Disease is Associated with Increased Risks of Heart Failure. European Journal of Heart Failure. 27(3). 512–520. 12 indexed citations
2.
Lin, Shih‐kang, et al.. (2025). CaCl2-assisted roasting for high-efficiency lithium extraction and fluorine stabilization in LFP battery recycling. Chemical Engineering Journal. 524. 169434–169434.
3.
4.
Chang, Kai‐Chun, et al.. (2025). Revisiting the softening and melting behavior of sinter under simulated blast furnace conditions: Part I – Thermodynamic and experimental insights on working line. Journal of the Taiwan Institute of Chemical Engineers. 170. 106013–106013. 1 indexed citations
5.
Li, Huijun, Kai‐Chun Chang, Chung‐Che Huang, et al.. (2024). A Novel Phase Change Material RF Switch with 16nm Technology to Achieve Low Voltage and Low Ron*Coff for mmWave. 1–2. 2 indexed citations
6.
Chang, Kai‐Chun, et al.. (2023). High-Throughput CBC Mode Crypto Circuit. 5(1). 21–31. 1 indexed citations
7.
Xu, Linfeng, Kai‐Chun Chang, Emory M. Payne, et al.. (2021). Mapping enzyme catalysis with metabolic biosensing. Nature Communications. 12(1). 6803–6803. 26 indexed citations
8.
Zhang, Jesse Q., Christian Siltanen, Kai‐Chun Chang, et al.. (2021). High diversity droplet microfluidic libraries generated with a commercial liquid spotter. Scientific Reports. 11(1). 4351–4351. 5 indexed citations
9.
Chang, Kai‐Chun & Jin‐Der Wen. (2021). Programmed −1 ribosomal frameshifting from the perspective of the conformational dynamics of mRNA and ribosomes. Computational and Structural Biotechnology Journal. 19. 3580–3588. 9 indexed citations
10.
Zhang, Jesse Q., Kai‐Chun Chang, Leqian Liu, Zev J. Gartner, & Adam R. Abate. (2020). High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing. Journal of Visualized Experiments. 1 indexed citations
11.
Zhang, Jesse Q., Christian Siltanen, Leqian Liu, et al.. (2020). Linked optical and gene expression profiling of single cells at high-throughput. Genome biology. 21(1). 49–49. 20 indexed citations
12.
Takemura, Kazuhiro, et al.. (2019). An Efficient Timer and Sizer of Biomacromolecular Motions. Structure. 28(2). 259–269.e8. 3 indexed citations
13.
Chang, Kai‐Chun, et al.. (2018). Unfolding Intermediate of mRNA Pseudoknot Correlates with Ribosomal Frameshifting. Biophysical Journal. 114(3). 592a–593a. 1 indexed citations
14.
Chen, Yu‐Ting, et al.. (2017). Coordination among tertiary base pairs results in an efficient frameshift-stimulating RNA pseudoknot. Nucleic Acids Research. 45(10). 6011–6022. 14 indexed citations
15.
Kuo, Wei‐Ting, Wen‐Chun Lin, Kai‐Chun Chang, et al.. (2015). Quantitative Analysis of Ligand-EGFR Interactions: A Platform for Screening Targeting Molecules. PLoS ONE. 10(2). e0116610–e0116610. 28 indexed citations
16.
Chang, Chia-Chieh, et al.. (2014). Neurogenic differentiation of dental pulp stem cells to neuron-like cells in dopaminergic and motor neuronal inductive media. Journal of the Formosan Medical Association. 113(12). 956–965. 77 indexed citations
17.
Chang, Kai‐Chun, et al.. (2014). Effect of Tricalcium Aluminate on the Physicochemical Properties, Bioactivity, and Biocompatibility of Partially Stabilized Cements. PLoS ONE. 9(9). e106754–e106754. 14 indexed citations
18.
Chen, Minhua, Po‐Chin Liang, Kai‐Chun Chang, et al.. (2014). Prototype of biliary drug-eluting stent with photodynamic and chemotherapy using electrospinning. BioMedical Engineering OnLine. 13(1). 118–118. 10 indexed citations
19.
Dong, Guo‐Chung, et al.. (2008). Blocking Effect of an Immuno-Suppressive Agent, Cynarin, on CD28 of T-Cell Receptor. Pharmaceutical Research. 26(2). 375–381. 27 indexed citations
20.
Chang, Kai‐Chun & Nin‐Nin Chuang. (2001). GTPase stimulation in shrimp Ras(Q61K) with geranylgeranyl pyrophosphate but not mammalian GAP. Journal of Experimental Zoology. 290(6). 642–651. 5 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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