Yinxia Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Ubiquitin and proteasome pathways
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
Papers in
-
- Circular RNAs in diseases 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Wei Zhu (3 shared papers)Zebo Huang (3 shared papers)Xin Zhou (2 shared papers)Yongqian Shu (1 shared paper)Ping Liu (1 shared paper)Jiaqi Qian (2 shared papers)Shujie Xia (1 shared paper)Junjie Yu (1 shared paper)
- Journals
- Future Oncology (2 papers)Expert Systems with Applications (2 papers)Scientific Reports (2 papers)Food Science and Human Wellness (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Yinxia Wu
22 papers receiving 489 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 153
- Molecular Biology 250
- Genetics 30
- Oncology 65
- Hepatology 14
Countries citing papers authored by Yinxia Wu
This map shows the geographic impact of Yinxia Wu'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 Yinxia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinxia Wu more than expected).
Fields of papers citing papers by Yinxia Wu
This network shows the impact of papers produced by Yinxia Wu. 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 Yinxia Wu. The network helps show where Yinxia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yinxia Wu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 121 | |
| 2 | 2014 | 101 | |
| 3 | 2015 | 42 | |
| 4 | 2014 | 41 | |
| 5 | 2015 | 39 | |
| 6 | 2018 | 29 | |
| 7 | 2018 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2017 | 20 | |
| 10 | 2014 | 14 | |
| 11 | 2024 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2024 | 2 |
About Yinxia Wu
Yinxia Wu is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 23 papers that have together received 495 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers), Evolution and Genetic Dynamics (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Geological Modeling and Analysis (1 paper), Ubiquitin and proteasome pathways (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Cancer Research (153 citations), Molecular Biology (250 citations), Genetics (30 citations), Oncology (65 citations) and Hepatology (14 citations). Yinxia Wu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Wei Zhu, Zebo Huang, Xin Zhou, Yongqian Shu, Ping Liu, Jiaqi Qian, Shujie Xia, Junjie Yu, Fujun Zhao and Yin Ding. Their work appears in journals such as Future Oncology, Expert Systems with Applications, Scientific Reports, Food Science and Human Wellness and Frontiers in Cellular and Infection Microbiology.
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.