Ming-Kai Chern

14 papers and 387 indexed citations i.

About

Ming-Kai Chern is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Ming-Kai Chern has authored 14 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Cancer Research. Recurrent topics in Ming-Kai Chern’s work include Amino Acid Enzymes and Metabolism (2 papers), Metabolism and Genetic Disorders (2 papers) and Enzyme Production and Characterization (2 papers). Ming-Kai Chern is often cited by papers focused on Amino Acid Enzymes and Metabolism (2 papers), Metabolism and Genetic Disorders (2 papers) and Enzyme Production and Characterization (2 papers). Ming-Kai Chern collaborates with scholars based in Taiwan and United States. Ming-Kai Chern's co-authors include Regina Pietruszko, Yue‐Horng Yen, San‐Lang Wang, Sheng‐Fu Chen, Yau‐Hung Chen, Yen‐Hsu Chen, Ming F. Tam, Yilin Liang, Yichen Liu and I‐Ching Kuan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Analytical Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Ming-Kai Chern i

Fields of papers citing papers by Ming-Kai Chern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Kai Chern. 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 Ming-Kai Chern. The network helps show where Ming-Kai Chern may publish in the future.

Countries citing papers authored by Ming-Kai Chern

Since Specialization
Citations

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

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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2025