Shaoling Li
Impact in
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- Traditional Chinese Medicine Analysis
Papers in
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- Circular RNAs in diseases 3
- Signaling Pathways in Disease 2
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- Advanced DC-DC Converters 5
- Multilevel Inverters and Converters 5
- Co-authors
- Qi Wang (4 shared papers)Cong Yang (3 shared papers)Yingmao Gao (3 shared papers)Miaomiao Xie (2 shared papers)Bing Lu-jun (1 shared paper)Yousheng Mo (2 shared papers)Shuiqing Huang (2 shared papers)Hanting Li (1 shared paper)
- Journals
- Cancer Research (4 papers)Journal of Translational Medicine (2 papers)International Journal of Circuit Theory and Applications (2 papers)Drug Design Development and Therapy (2 papers)Journal of Integrative Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Shaoling Li
41 papers receiving 396 citations
Peers
Comparison fields: 5 of 105
- Complementary and alternative medicine 35
- Biological Psychiatry 9
- Neurology 26
- Molecular Biology 187
- Pharmacology 22
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | Betulinic acid induces autophagy-mediated apoptosis through suppression of the PI3K/AKT/mTOR signaling pathway and inhibits hepatocellular carcinoma. | 2019 | 39 |
| 3 | 2020 | 34 | |
| 4 | 2020 | 31 | |
| 5 | 2007 | 30 | |
| 6 | 2022 | 27 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2018 | 13 | |
| 12 | 2022 | 9 | |
| 13 | Construction and spatiotemporal variation of dump reclamation disturbance index | 2019 | 8 |
| 14 | 2018 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2018 | 5 |
About Shaoling Li
Shaoling Li is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Cancer Research, Pulmonary and Respiratory Medicine and Control and Systems Engineering, having authored 43 papers that have together received 403 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (5 papers), Advanced DC-DC Converters (5 papers), Multilevel Inverters and Converters (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Signaling Pathways in Disease (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Complementary and alternative medicine (35 citations), Biological Psychiatry (9 citations), Neurology (26 citations), Molecular Biology (187 citations) and Pharmacology (22 citations). Shaoling Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Qi Wang, Cong Yang, Yingmao Gao, Miaomiao Xie, Bing Lu-jun, Yousheng Mo, Shuiqing Huang, Hanting Li, Huihui Wang and Weirong Li. Their work appears in journals such as Cancer Research, Journal of Translational Medicine, International Journal of Circuit Theory and Applications, Drug Design Development and Therapy and Journal of Integrative Neuroscience.
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.