Mingyi Li
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Circular RNAs in diseases 5
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 6
- Co-authors
- Kaifeng Qiu (1 shared paper)Ying Liang (1 shared paper)Zheng Wang (4 shared papers)Liang Zhao (6 shared papers)Mei‐Zhen Zou (3 shared papers)Daan Fu (3 shared papers)Chundong Yao (3 shared papers)Hui Wang (3 shared papers)
In The Last Decade
Mingyi Li
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 431
- Molecular Biology 684
- Biotechnology 75
- Biomaterials 74
- Biomedical Engineering 208
Countries citing papers authored by Mingyi Li
This map shows the geographic impact of Mingyi 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 Mingyi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyi Li more than expected).
Fields of papers citing papers by Mingyi Li
This network shows the impact of papers produced by Mingyi 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 Mingyi Li. The network helps show where Mingyi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyi 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 168 | |
| 2 | 2015 | 151 | |
| 3 | 2023 | 101 | |
| 4 | 2019 | 83 | |
| 5 | 2006 | 72 | |
| 6 | 2016 | 66 | |
| 7 | 2023 | 60 | |
| 8 | 2018 | 55 | |
| 9 | 2003 | 54 | |
| 10 | 2022 | 46 | |
| 11 | 2013 | 43 | |
| 12 | 2012 | 40 | |
| 13 | 2010 | 37 | |
| 14 | 2021 | 36 | |
| 15 | 2018 | 34 | |
| 16 | 2020 | 32 | |
| 17 | 2019 | 32 | |
| 18 | 2017 | 28 | |
| 19 | 2022 | 27 | |
| 20 | 2016 | 27 |
About Mingyi Li
Mingyi Li is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Biomedical Engineering and Civil and Structural Engineering, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), Advanced Nanomaterials in Catalysis (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (431 citations), Molecular Biology (684 citations), Biotechnology (75 citations), Biomaterials (74 citations) and Biomedical Engineering (208 citations). Mingyi Li has collaborated with scholars based in China, Hong Kong and Maldives. Frequent co-authors include Kaifeng Qiu, Ying Liang, Zheng Wang, Liang Zhao, Mei‐Zhen Zou, Daan Fu, Chundong Yao, Hui Wang, Juan Wu and Weidong Li. Their work appears in journals such as FEBS Letters, Cell Death and Disease, Journal of Cellular Physiology, Cancer Letters and Bioactive Materials.
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.