Ming Ye
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
- Aquatic Science top 10%
- Seaweed-derived Bioactive Compounds
Papers in
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- Drug-Induced Hepatotoxicity and Protection 3
- Fungal Biology and Applications 3
- Antibiotics Pharmacokinetics and Efficacy 2
- Co-authors
- Jinglei Li (6 shared papers)D. P. Singal (2 shared papers)Liqiang Pan (1 shared paper)Maheen Mahwish Surhio (3 shared papers)Xin Liu (1 shared paper)Xiaohong Qiu (1 shared paper)Shuai Zong (2 shared papers)Guohua Hou (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)International Journal of Cancer (2 papers)Scientific Reports (1 paper)Food and Chemical Toxicology (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ming Ye
27 papers receiving 465 citations
Peers
Comparison fields: 5 of 106
- Neurology 46
- Aquatic Science 37
- Complementary and alternative medicine 37
- Pharmacology 69
- Food Science 71
Countries citing papers authored by Ming Ye
This map shows the geographic impact of Ming Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ye more than expected).
Fields of papers citing papers by Ming Ye
This network shows the impact of papers produced by Ming Ye. 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 Ye. The network helps show where Ming Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ye, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 82 | |
| 2 | 2017 | 61 | |
| 3 | 2016 | 52 | |
| 4 | 2018 | 51 | |
| 5 | 1996 | 35 | |
| 6 | 2017 | 21 | |
| 7 | 2017 | 19 | |
| 8 | 1998 | 17 | |
| 9 | 2016 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2018 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2006 | 12 | |
| 15 | 2015 | 12 | |
| 16 | 2004 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2021 | 3 |
About Ming Ye
Ming Ye is a scholar working on Molecular Biology, Pharmacology, Plant Science, Surgery and Pharmacology, having authored 28 papers that have together received 468 indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Fungal Biology and Applications (3 papers), Food Quality and Safety Studies (2 papers), Polysaccharides Composition and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Neurology (46 citations), Aquatic Science (37 citations), Complementary and alternative medicine (37 citations), Pharmacology (69 citations) and Food Science (71 citations). Ming Ye has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jinglei Li, D. P. Singal, Liqiang Pan, Maheen Mahwish Surhio, Xin Liu, Xiaohong Qiu, Shuai Zong, Guohua Hou, Ziyang Ye and Shah Faisal. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, International Journal of Cancer, Scientific Reports, Food and Chemical Toxicology and International Journal of Biological Macromolecules.
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.