Runsheng Li
Impact in
- Aging top 2%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Aging 9
- Genetics, Aging, and Longevity in Model Organisms 9
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- Cancer-related molecular mechanisms research 10
- Co-authors
- Yimin JiaXiaojing YangJingwu Z. ZhangTaylor B. GuoYingxia ZhengRuqian ZhaoQinwei SunZhongying Zhao
- Journals
- Journal of Biological Chemistry (5 papers)Cancer Research (5 papers)PLoS ONE (5 papers)Nucleic Acids Research (4 papers)International Journal of Environmental Research and Public Health (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Runsheng Li
108 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 137
- Aging 91
- Cancer Research 395
- Immunology 485
- Molecular Biology 1.4k
- Reproductive Medicine 145
Countries citing papers authored by Runsheng Li
This map shows the geographic impact of Runsheng 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 Runsheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runsheng Li more than expected).
Fields of papers citing papers by Runsheng Li
This network shows the impact of papers produced by Runsheng 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 Runsheng Li. The network helps show where Runsheng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Runsheng 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 11 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 56 | |
| 17 | 2017 | 7 | |
| 18 | 2017 | 4 | |
| 19 | 2014 | 88 | |
| 20 | 2008 | 55 |
About Runsheng Li
Runsheng Li is a scholar working on Aging, Cancer Research, Molecular Biology, Health, Toxicology and Mutagenesis and Reproductive Medicine, having authored 114 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), RNA modifications and cancer (12 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related molecular mechanisms research (10 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), RNA Research and Splicing (8 papers), CRISPR and Genetic Engineering (8 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). The work is most often cited by research in Aging (91 citations), Cancer Research (395 citations), Immunology (485 citations), Molecular Biology (1.4k citations) and Reproductive Medicine (145 citations). Runsheng Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yimin Jia, Xiaojing Yang, Jingwu Z. Zhang, Taylor B. Guo, Yingxia Zheng, Ruqian Zhao, Qinwei Sun, Zhongying Zhao, Bing Wan and Xuebin Liu. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, PLoS ONE, Nucleic Acids Research and International Journal of Environmental Research and Public Health.
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.