Wenxia Si
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
-
- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
- Angiogenesis and VEGF in Cancer
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 2
- Histone Deacetylase Inhibitors Research 2
-
- Cancer, Hypoxia, and Metabolism 4
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Bisheng Zhou (4 shared papers)Xu Yan (2 shared papers)Qing Wang (1 shared paper)Xin Tu (1 shared paper)Ruihua Ma (1 shared paper)Sisi Li (1 shared paper)Zhenhong Su (4 shared papers)Qing K. Wang (4 shared papers)
- Journals
- The FASEB Journal (3 papers)Frontiers in Oncology (2 papers)Cancer Letters (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Wenxia Si
14 papers receiving 336 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 155
- Molecular Biology 206
- Oncology 36
- Cardiology and Cardiovascular Medicine 28
- Cell Biology 20
Countries citing papers authored by Wenxia Si
This map shows the geographic impact of Wenxia 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 Wenxia Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenxia Si more than expected).
Fields of papers citing papers by Wenxia Si
This network shows the impact of papers produced by Wenxia 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 Wenxia Si. The network helps show where Wenxia Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenxia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 163 | |
| 2 | 2014 | 38 | |
| 3 | 2013 | 37 | |
| 4 | 2018 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2020 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2026 | 0 | |
| 17 | 2025 | 0 |
About Wenxia Si
Wenxia Si is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Oncology and Pharmacology, having authored 17 papers that have together received 338 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Renin-Angiotensin System Studies (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Apelin-related biomedical research (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (155 citations), Molecular Biology (206 citations), Oncology (36 citations), Cardiology and Cardiovascular Medicine (28 citations) and Cell Biology (20 citations). Wenxia Si has collaborated with scholars based in China and United States. Frequent co-authors include Bisheng Zhou, Xu Yan, Qing Wang, Xin Tu, Ruihua Ma, Sisi Li, Zhenhong Su, Qing K. Wang, Chengqi Xu and Xin Tu. Their work appears in journals such as The FASEB Journal, Frontiers in Oncology, Cancer Letters, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Arteriosclerosis Thrombosis and Vascular Biology.
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.