M.-C. Chang

6.5k total citations
3 papers, 5 citations indexed

About

M.-C. Chang is a scholar working on Molecular Biology, Pharmacology and Mechanical Engineering. According to data from OpenAlex, M.-C. Chang has authored 3 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Mechanical Engineering. Recurrent topics in M.-C. Chang's work include Microbial Metabolic Engineering and Bioproduction (2 papers), Enzyme Catalysis and Immobilization (2 papers) and Manufacturing Process and Optimization (1 paper). M.-C. Chang is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (2 papers), Enzyme Catalysis and Immobilization (2 papers) and Manufacturing Process and Optimization (1 paper). M.-C. Chang collaborates with scholars based in China, Singapore and Taiwan. M.-C. Chang's co-authors include Aiqun Yu, Qian Wu, Chen Ding, Tao Yu, Chang Liu, Yi-Cheng Chen, Adison Wong, Xu Sun, Qingqing Ye and Zhuo Li and has published in prestigious journals such as Microbial Cell Factories, ACS Synthetic Biology and IEEE Transactions on Emerging Topics in Computing.

In The Last Decade

M.-C. Chang

2 papers receiving 5 citations

Peers

M.-C. Chang
Jonah Cool United States
Domenic Abbondanza United States
Y. Gan China
Agnes Reschke United States
Chunxu Yu China
K. Y. Liu China
Jonah Cool United States
M.-C. Chang
Citations per year, relative to M.-C. Chang M.-C. Chang (= 1×) peers Jonah Cool

Countries citing papers authored by M.-C. Chang

Since Specialization
Citations

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

Fields of papers citing papers by M.-C. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-C. 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 M.-C. Chang. The network helps show where M.-C. Chang may publish in the future.

Co-authorship network of co-authors of M.-C. Chang

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

All Works

3 of 3 papers shown
1.
Chen, Yi-Cheng, et al.. (2025). Virtual Reinforcement Learning for Defect Prediction in Smart Manufacturing. IEEE Transactions on Emerging Topics in Computing. 13(3). 990–1002.
2.
Chang, M.-C., Xiangyu Li, Wenbing Cao, et al.. (2025). Metabolic engineering for sustainable xylitol production from diverse carbon sources in Pichia pastoris. Microbial Cell Factories. 24(1). 59–59. 3 indexed citations
3.
Ye, Qingqing, Chang Liu, Chen Ding, et al.. (2024). Advancements in Microbial Cell Engineering for Benzylisoquinoline Alkaloid Production. ACS Synthetic Biology. 13(12). 3842–3856. 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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