Mei‐Ling Tsai
- Biochemistry top 2%
- Toxicology top 2%
- Biotechnology top 2%
- Enzyme Production and Characterization 7
- Water Science and Technology top 5%
- Biomedical Engineering top 5%
- Biofuel production and bioconversion 21
- Catalysis for Biomass Conversion 9
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- Protein Hydrolysis and Bioactive Peptides 8
- Enzyme Catalysis and Immobilization 7
- Microbial Metabolic Engineering and Bioproduction 7
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- Bioactive Compounds in Plants 5
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- Adipose Tissue and Metabolism 5
- Co-authors
- Cheng‐Di DongChiu‐Wen ChenMin‐Hsiung PanChi‐Tang HoVishal SharmaParushi NargotraPeipei SunChing‐Shu Lai
- Cited by
- BiochemistryToxicologyBiotechnology
- Journals
- Bioresource Technology (7 papers)Journal of Agricultural and Food Chemistry (6 papers)Molecular Nutrition & Food Research (6 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Mei‐Ling Tsai
96 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Biochemistry 200
- Toxicology 101
- Biotechnology 221
- Water Science and Technology 325
- Biomedical Engineering 904
Countries citing papers authored by Mei‐Ling Tsai
This map shows the geographic impact of Mei‐Ling Tsai'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 Mei‐Ling Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Ling Tsai more than expected).
Fields of papers citing papers by Mei‐Ling Tsai
This network shows the impact of papers produced by Mei‐Ling Tsai. 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 Mei‐Ling Tsai. The network helps show where Mei‐Ling Tsai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mei‐Ling Tsai, 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 | 2025 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 17 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 53 | |
| 9 | 2023 | 30 | |
| 10 | 2022 | 85 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 16 | |
| 13 | 2019 | 92 | |
| 14 | 2018 | 59 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 6 | |
| 17 | 2014 | 3 | |
| 18 | 2010 | 38 | |
| 19 | 2010 | 54 | |
| 20 | 2006 | 43 |
About Mei‐Ling Tsai
Mei‐Ling Tsai is a scholar working on Biochemistry, Biotechnology and Health, Toxicology and Mutagenesis, having authored 99 papers that have together received 3.5k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (21 papers), Catalysis for Biomass Conversion (9 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Enzyme Catalysis and Immobilization (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Enzyme Production and Characterization (7 papers), Bioactive Compounds in Plants (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Biochemistry (200 citations), Toxicology (101 citations) and Biotechnology (221 citations). Mei‐Ling Tsai has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Cheng‐Di Dong, Chiu‐Wen Chen, Min‐Hsiung Pan, Chi‐Tang Ho, Vishal Sharma, Parushi Nargotra, Peipei Sun, Ching‐Shu Lai, Reeta Rani Singhania and Anil Kumar Patel. Their work appears in journals such as Bioresource Technology, Journal of Agricultural and Food Chemistry, Molecular Nutrition & Food Research, Environmental Science and Pollution Research and Catalysts.
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.