Shaoling Li
Impact in
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- Traditional Chinese Medicine Analysis
Papers in
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- Circular RNAs in diseases 3
- Ubiquitin and proteasome pathways 2
- RNA Research and Splicing 2
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- Multilevel Inverters and Converters 5
- Advanced DC-DC Converters 5
- Co-authors
- Qi Wang (4 shared papers)Cong Yang (3 shared papers)Miaomiao Xie (2 shared papers)Yousheng Mo (2 shared papers)Shuiqing Huang (2 shared papers)Hanting Li (1 shared paper)Huihui Wang (1 shared paper)Weirong Li (1 shared paper)
In The Last Decade
Shaoling Li
41 papers receiving 419 citations
Peers
Comparison fields: 5 of 104
- Complementary and alternative medicine 29
- Biological Psychiatry 7
- Neurology 21
- Molecular Biology 172
- Pharmacology 19
Countries citing papers authored by Shaoling Li
This map shows the geographic impact of Shaoling 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 Shaoling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoling Li more than expected).
Fields of papers citing papers by Shaoling Li
This network shows the impact of papers produced by Shaoling 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 Shaoling Li. The network helps show where Shaoling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoling 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 88 | |
| 2 | Betulinic acid induces autophagy-mediated apoptosis through suppression of the PI3K/AKT/mTOR signaling pathway and inhibits hepatocellular carcinoma. | 2019 | 41 |
| 3 | 2020 | 36 | |
| 4 | 2020 | 33 | |
| 5 | 2007 | 30 | |
| 6 | 2022 | 28 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 10 | |
| 13 | 2018 | 9 | |
| 14 | Construction and spatiotemporal variation of dump reclamation disturbance index | 2019 | 8 |
| 15 | 2023 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2024 | 5 |
About Shaoling Li
Shaoling Li is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Control and Systems Engineering, Cancer Research and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 425 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (6 papers), Multilevel Inverters and Converters (5 papers), Advanced DC-DC Converters (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Ubiquitin and proteasome pathways (2 papers), Atmospheric aerosols and clouds (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Complementary and alternative medicine (29 citations), Biological Psychiatry (7 citations), Neurology (21 citations), Molecular Biology (172 citations) and Pharmacology (19 citations). Shaoling Li has collaborated with scholars based in China, France and Italy. Frequent co-authors include Qi Wang, Cong Yang, Miaomiao Xie, Yousheng Mo, Shuiqing Huang, Hanting Li, Huihui Wang, Weirong Li, Yonggen Chen and Huafeng Pan. Their work appears in journals such as Cancer Research, Drug Design Development and Therapy, International Journal of Circuit Theory and Applications, Journal of Translational Medicine and The Journal of Gene Medicine.
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.