M Li
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Myxozoan Parasites in Aquatic Species
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- Circular RNAs in diseases
- Sphingolipid Metabolism and Signaling
- Extracellular vesicles in disease
- Kruppel-like factors research
Papers in
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- Circular RNAs in diseases 2
- Cancer therapeutics and mechanisms 2
- Ubiquitin and proteasome pathways 1
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- Aquaculture disease management and microbiota 2
- Co-authors
- Yan Yang (1 shared paper)Vinayakumar Siragam (1 shared paper)Linlin Luo (1 shared paper)Weining Yang (1 shared paper)Zhaoqun Deng (1 shared paper)Zina Jeyapalan Rutnam (1 shared paper)Ling Fang (1 shared paper)Chun Peng (1 shared paper)
- Journals
- Journal of Fish Diseases (2 papers)Cell Death and Disease (2 papers)Scientific Reports (1 paper)The FASEB Journal (1 paper)International Dental Journal (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
M Li
22 papers receiving 375 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 135
- Molecular Biology 203
- Immunology 58
- Microbiology 10
- Endocrinology 8
Countries citing papers authored by M Li
This map shows the geographic impact of M Li'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 M Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Li more than expected).
Fields of papers citing papers by M Li
This network shows the impact of papers produced by M Li. 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 M Li. The network helps show where M Li may publish in the future.
Co-authors
The 25 scholars most cited alongside M Li, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 113 | |
| 2 | 2019 | 53 | |
| 3 | 2016 | 44 | |
| 4 | 2005 | 36 | |
| 5 | 2016 | 33 | |
| 6 | 2015 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2017 | 12 | |
| 9 | 2002 | 10 | |
| 10 | 2014 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2006 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 1998 | 1 |
About M Li
M Li is a scholar working on Molecular Biology, Immunology, Cancer Research, Public Health, Environmental and Occupational Health and Microbiology, having authored 23 papers that have together received 381 indexed citations. Recurring topics across this work include Microbial infections and disease research (2 papers), Circular RNAs in diseases (2 papers), Malaria Research and Control (2 papers), Myxozoan Parasites in Aquatic Species (2 papers), Cancer therapeutics and mechanisms (2 papers), MicroRNA in disease regulation (2 papers), Aquaculture disease management and microbiota (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (135 citations), Molecular Biology (203 citations), Immunology (58 citations), Microbiology (10 citations) and Endocrinology (8 citations). M Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yan Yang, Vinayakumar Siragam, Linlin Luo, Weining Yang, Zhaoqun Deng, Zina Jeyapalan Rutnam, Ling Fang, Chun Peng, Xiangling Yang and Jun Qian. Their work appears in journals such as Journal of Fish Diseases, Cell Death and Disease, Scientific Reports, The FASEB Journal and International Dental Journal.
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.