Mi Li
Impact in
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection
- Cancer Research top 10%
Papers in
-
- RNA modifications and cancer 4
- Bone Metabolism and Diseases 3
- Epigenetics and DNA Methylation 3
- Oncology 17
- Cancer-related Molecular Pathways 6
- Co-authors
- Jing‐Feng Li (1 shared paper)Zhiliang Yao (1 shared paper)Weiqing Yang (1 shared paper)Hong‐Bing Shu (1 shared paper)Yan Zhou (1 shared paper)Yuan Ji (1 shared paper)Fan Zhang (1 shared paper)Hong Gao (1 shared paper)
- Journals
- Cancer Research (5 papers)Frontiers in Pediatrics (4 papers)PLoS ONE (2 papers)Kidney & Blood Pressure Research (2 papers)Cellular and Molecular Biology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mi Li
113 papers receiving 2.2k citations
Mi Li's Hit Papers
Peers
Comparison fields: 5 of 132
- Pharmacology 183
- Cancer Research 204
- Molecular Biology 929
- Immunology 205
- Hepatology 66
Countries citing papers authored by Mi Li
This map shows the geographic impact of Mi 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 Mi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Li more than expected).
Fields of papers citing papers by Mi Li
This network shows the impact of papers produced by Mi 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 Mi Li. The network helps show where Mi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 211 | |
| 2 | A review on the alternatives to antibiotics and the treatment of antibiotic pollution: Current development and future prospects Hit paper breakdown → | 2024 | 166 |
| 3 | 2007 | 152 | |
| 4 | 2000 | 80 | |
| 5 | 2018 | 78 | |
| 6 | Cell cycle arrest induces lipid droplet formation and confers ferroptosis resistance Hit paper breakdown → | 2024 | 72 |
| 7 | 2014 | 71 | |
| 8 | 2015 | 68 | |
| 9 | 2008 | 59 | |
| 10 | 2012 | 54 | |
| 11 | 2022 | 54 | |
| 12 | 2013 | 48 | |
| 13 | 2013 | 44 | |
| 14 | 2013 | 41 | |
| 15 | 2021 | 40 | |
| 16 | 2019 | 39 | |
| 17 | 2021 | 39 | |
| 18 | 2020 | 37 | |
| 19 | 2021 | 31 | |
| 20 | 2001 | 31 |
About Mi Li
Mi Li is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 119 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), interferon and immune responses (4 papers), RNA modifications and cancer (4 papers), Congenital Heart Disease Studies (4 papers), Ferroptosis and cancer prognosis (4 papers), Bone Metabolism and Diseases (3 papers), Epigenetics and DNA Methylation (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Pharmacology (183 citations), Cancer Research (204 citations), Molecular Biology (929 citations), Immunology (205 citations) and Hepatology (66 citations). Mi Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jing‐Feng Li, Zhiliang Yao, Weiqing Yang, Hong‐Bing Shu, Yan Zhou, Yuan Ji, Fan Zhang, Hong Gao, Hong‐Xi Xu and Huali Wang. Their work appears in journals such as Cancer Research, Frontiers in Pediatrics, PLoS ONE, Kidney & Blood Pressure Research and Cellular and Molecular Biology.
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.