Lihui Si
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Pharmacology top 10%
- Piperaceae Chemical and Biological Studies
Papers in
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- Circular RNAs in diseases 4
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 4
- Co-authors
- Shuli Yang (8 shared papers)Ruixin Lin (8 shared papers)Ruiqi Yang (3 shared papers)Yan Jia (4 shared papers)Wenyue Jiang (3 shared papers)Pengdong Li (3 shared papers)Yao Wang (1 shared paper)Tong Yu (1 shared paper)
- Journals
- Bioscience Reports (2 papers)Aging (2 papers)Medicine (2 papers)European Journal of Medicinal Chemistry (1 paper)The Prostate (1 paper)
- Partner nations
- China
In The Last Decade
Lihui Si
24 papers receiving 429 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 119
- Pharmacology 58
- Obstetrics and Gynecology 39
- Molecular Biology 200
- Biochemistry 15
Countries citing papers authored by Lihui Si
This map shows the geographic impact of Lihui Si'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 Lihui Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lihui Si more than expected).
Fields of papers citing papers by Lihui Si
This network shows the impact of papers produced by Lihui Si. 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 Lihui Si. The network helps show where Lihui Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Lihui Si, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 52 | |
| 2 | 2022 | 41 | |
| 3 | 2018 | 40 | |
| 4 | Kaempferol exerts anti-proliferative effects on human ovarian cancer cells by inducing apoptosis, G0/G1 cell cycle arrest and modulation of MEK/ERK and STAT3 pathways. | 2020 | 37 |
| 5 | 2018 | 33 | |
| 6 | 2023 | 22 | |
| 7 | 2019 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2019 | 19 | |
| 10 | 2012 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2019 | 16 | |
| 14 | 2013 | 16 | |
| 15 | MicroRNA-375 inhibits the growth, drug sensitivity and metastasis of human ovarian cancer cells by targeting PAX2. | 2020 | 12 |
| 16 | 2023 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2019 | 7 | |
| 20 | 2023 | 5 |
About Lihui Si
Lihui Si is a scholar working on Molecular Biology, Cancer Research, Obstetrics and Gynecology, Epidemiology and Reproductive Medicine, having authored 26 papers that have together received 434 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Endometrial and Cervical Cancer Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), Cancer Mechanisms and Therapy (3 papers), Cervical Cancer and HPV Research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Cancer Research (119 citations), Pharmacology (58 citations), Obstetrics and Gynecology (39 citations), Molecular Biology (200 citations) and Biochemistry (15 citations). Lihui Si has collaborated with scholars based in China. Frequent co-authors include Shuli Yang, Ruixin Lin, Ruiqi Yang, Yan Jia, Wenyue Jiang, Pengdong Li, Yao Wang, Tong Yu, Haitao Xu and Qiuju Li. Their work appears in journals such as Bioscience Reports, Aging, Medicine, European Journal of Medicinal Chemistry and The Prostate.
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.