Hui Li
Impact in
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 0.5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Retinoids in leukemia and cellular processes
- Epigenetics and DNA Methylation
Papers in
- Cancer Research 118
- Cancer-related molecular mechanisms research 66
- MicroRNA in disease regulation 57
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- RNA modifications and cancer 51
- Circular RNAs in diseases 51
- RNA Research and Splicing 28
Hui Li
426 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 4.6k
- Molecular Biology 8.3k
- Genetics 1.6k
- Oncology 1.2k
- Endocrinology 209
Countries citing papers authored by Hui Li
This map shows the geographic impact of Hui 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 Hui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Li more than expected).
Fields of papers citing papers by Hui Li
This network shows the impact of papers produced by Hui 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 Hui Li. The network helps show where Hui Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 11 | |
| 15 | Heat stroke induces oncosis rather than apoptosis in skeletal muscle cells | 2020 | 1 |
| 16 | 2019 | 95 | |
| 17 | 2014 | 11 | |
| 18 | Novel RPE65 mutations associated with Leber congenital amaurosis in Chinese patients. | 2012 | 27 |
| 19 | Clinical Manifestation and Heredity Feature in Five Pedigrees with Porokeratosis | 2003 | 1 |
| 20 | Studies on the function of the promoter of carp(Cyprinus carpio) metallothionein gene | 1997 | 1 |
About Hui Li
Hui Li is a scholar working on Cancer Research, Molecular Biology, Genetics, Oncology and Cardiology and Cardiovascular Medicine, having authored 458 papers that have together received 12.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (66 papers), MicroRNA in disease regulation (57 papers), RNA modifications and cancer (51 papers), Circular RNAs in diseases (51 papers), RNA Research and Splicing (28 papers), Coronary Interventions and Diagnostics (23 papers), Cardiac Imaging and Diagnostics (14 papers) and Acute Myocardial Infarction Research (13 papers). The work is most often cited by research in Cancer Research (4.6k citations), Molecular Biology (8.3k citations), Genetics (1.6k citations), Oncology (1.2k citations) and Endocrinology (209 citations). Hui Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi Zhao, P.J. Gomes, Runsheng Chen, Dechao Bu, J. Don Chen, Shuangsang Fang, Wei Wu, James P. Whitlock, Xiaoyang Wu and Michael Q. Zhang. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Nucleic Acids Research, Frontiers in Genetics and Gene.
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.