Ming‐Hsu Chen
Impact in
- Nutrition and Dietetics top 5%
- Microbial Metabolites in Food Biotechnology
- Food composition and properties
- General Dentistry top 10%
Papers in
-
- Biofuel production and bioconversion 11
- Catalysis for Biomass Conversion 3
-
- Microbial Metabolites in Food Biotechnology 7
- Food composition and properties 6
- Co-authors
- Vijay Singh (8 shared papers)Bruce S. Dien (6 shared papers)Stephen R. Lindemann (6 shared papers)Kent D. Rausch (3 shared papers)M. E. Tumbleson (3 shared papers)Tianming Yao (3 shared papers)Wei Liu (1 shared paper)Haibo Huang (1 shared paper)
- Journals
- Carbohydrate Polymers (4 papers)Otolaryngology (2 papers)LWT (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Nutrients (1 paper)
- Partner nations
- United StatesTaiwanSingapore
In The Last Decade
Ming‐Hsu Chen
25 papers receiving 602 citations
Peers
Comparison fields: 5 of 105
- Nutrition and Dietetics 211
- General Dentistry 15
- Food Science 129
- Neurology 42
- Biomedical Engineering 216
Countries citing papers authored by Ming‐Hsu Chen
This map shows the geographic impact of Ming‐Hsu Chen'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‐Hsu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Hsu Chen more than expected).
Fields of papers citing papers by Ming‐Hsu Chen
This network shows the impact of papers produced by Ming‐Hsu Chen. 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‐Hsu Chen. The network helps show where Ming‐Hsu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Hsu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2013 | 65 | |
| 3 | 2009 | 54 | |
| 4 | 2011 | 45 | |
| 5 | 2020 | 33 | |
| 6 | 2015 | 33 | |
| 7 | 2015 | 33 | |
| 8 | 2020 | 32 | |
| 9 | 2023 | 31 | |
| 10 | 2023 | 25 | |
| 11 | 2013 | 25 | |
| 12 | 2023 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2024 | 13 | |
| 18 | 2015 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2010 | 8 |
About Ming‐Hsu Chen
Ming‐Hsu Chen is a scholar working on Biomedical Engineering, Nutrition and Dietetics, Molecular Biology, Physiology and Food Science, having authored 26 papers that have together received 613 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (11 papers), Microbial Metabolites in Food Biotechnology (7 papers), Food composition and properties (6 papers), Gut microbiota and health (4 papers), Magnetic and Electromagnetic Effects (3 papers), Catalysis for Biomass Conversion (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Bioenergy crop production and management (2 papers). The work is most often cited by research in Nutrition and Dietetics (211 citations), General Dentistry (15 citations), Food Science (129 citations), Neurology (42 citations) and Biomedical Engineering (216 citations). Ming‐Hsu Chen has collaborated with scholars based in United States, Taiwan and Singapore. Frequent co-authors include Vijay Singh, Bruce S. Dien, Stephen R. Lindemann, Kent D. Rausch, M. E. Tumbleson, Tianming Yao, Wei Liu, Haibo Huang, Nasib Qureshi and Sainan Zhao. Their work appears in journals such as Carbohydrate Polymers, Otolaryngology, LWT, Journal of Agricultural and Food Chemistry and Nutrients.
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.