Ming-Kai Chern
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
-
- Amino Acid Enzymes and Metabolism
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 2
- Studies on Chitinases and Chitosanases 2
- Polyamine Metabolism and Applications 2
-
- Blood properties and coagulation 2
- Co-authors
- Regina Pietruszko (3 shared papers)Yue‐Horng Yen (2 shared papers)San‐Lang Wang (2 shared papers)Sheng‐Fu Chen (2 shared papers)Yau‐Hung Chen (2 shared papers)Yen‐Hsu Chen (1 shared paper)Ming F. Tam (3 shared papers)Yilin Liang (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Enzyme and Microbial Technology (2 papers)Fish Physiology and Biochemistry (1 paper)Journal of Artificial Organs (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ming-Kai Chern
14 papers receiving 399 citations
Peers
Comparison fields: 5 of 85
- Biotechnology 120
- Biochemistry 30
- Clinical Biochemistry 26
- Molecular Biology 243
- Biomaterials 30
Countries citing papers authored by Ming-Kai Chern
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).
Fields of papers citing papers by Ming-Kai Chern
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.
Co-authors
The 24 scholars most cited alongside Ming-Kai Chern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 91 | |
| 2 | 2014 | 74 | |
| 3 | 1995 | 73 | |
| 4 | 2005 | 65 | |
| 5 | 2002 | 48 | |
| 6 | 2001 | 15 | |
| 7 | 2000 | 13 | |
| 8 | 2015 | 12 | |
| 9 | 2006 | 11 | |
| 10 | 2008 | 8 | |
| 11 | 2009 | 6 | |
| 12 | 2012 | 4 | |
| 13 | 1999 | 2 | |
| 14 | 2006 | 2 |
About Ming-Kai Chern
Ming-Kai Chern is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Clinical Biochemistry, Biotechnology and Biochemistry, having authored 14 papers that have together received 424 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (2 papers), Metabolism and Genetic Disorders (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Blood properties and coagulation (2 papers), Enzyme Production and Characterization (2 papers), Studies on Chitinases and Chitosanases (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Biotechnology (120 citations), Biochemistry (30 citations), Clinical Biochemistry (26 citations), Molecular Biology (243 citations) and Biomaterials (30 citations). Ming-Kai Chern has collaborated with scholars based in Taiwan and United States. Frequent 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. Their work appears in journals such as Biochemical and Biophysical Research Communications, Enzyme and Microbial Technology, Fish Physiology and Biochemistry, Journal of Artificial Organs and Advances in experimental medicine and biology.
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.