Yuan Si
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Metabolism, Diabetes, and Cancer 3
- Protein Tyrosine Phosphatases 3
- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 2
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- Hippo pathway signaling and YAP/TAZ 8
- Co-authors
- Te Zhang (10 shared papers)Ying Liu (13 shared papers)Yuchen Xiang (10 shared papers)Xuewen Liu (8 shared papers)Wenrong Xu (1 shared paper)Wei Zhu (1 shared paper)Hongxing Zhou (1 shared paper)Fei Mao (1 shared paper)
- Journals
- Archives of Biochemistry and Biophysics (2 papers)International Journal of Oncology (2 papers)Phytomedicine (2 papers)Developmental Cell (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yuan Si
33 papers receiving 927 citations
Peers
Comparison fields: 5 of 99
- Cell Biology 209
- Cancer Research 150
- Toxicology 29
- Energy Engineering and Power Technology 26
- Urology 38
Countries citing papers authored by Yuan Si
This map shows the geographic impact of Yuan 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 Yuan Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Si more than expected).
Fields of papers citing papers by Yuan Si
This network shows the impact of papers produced by Yuan 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 Yuan Si. The network helps show where Yuan Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 118 | |
| 2 | 2009 | 118 | |
| 3 | 2024 | 65 | |
| 4 | 2020 | 48 | |
| 5 | 2017 | 48 | |
| 6 | 2019 | 47 | |
| 7 | 2017 | 44 | |
| 8 | 2020 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2018 | 39 | |
| 11 | 2021 | 38 | |
| 12 | 2020 | 35 | |
| 13 | 2021 | 30 | |
| 14 | 2021 | 30 | |
| 15 | 2019 | 29 | |
| 16 | 2019 | 24 | |
| 17 | 2018 | 21 | |
| 18 | 2023 | 20 | |
| 19 | 2023 | 17 | |
| 20 | 2021 | 13 |
About Yuan Si
Yuan Si is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 933 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (8 papers), Advances in Cucurbitaceae Research (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Protein Tyrosine Phosphatases (3 papers), Autophagy in Disease and Therapy (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Ubiquitin and proteasome pathways (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cell Biology (209 citations), Cancer Research (150 citations), Toxicology (29 citations), Energy Engineering and Power Technology (26 citations) and Urology (38 citations). Yuan Si has collaborated with scholars based in China and United States. Frequent co-authors include Te Zhang, Ying Liu, Yuchen Xiang, Xuewen Liu, Wenrong Xu, Wei Zhu, Hongxing Zhou, Fei Mao, Huiling Cao and Xuewen Liu. Their work appears in journals such as Archives of Biochemistry and Biophysics, International Journal of Oncology, Phytomedicine, Developmental Cell and Molecular Carcinogenesis.
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.