Ya Wen
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Advanced biosensing and bioanalysis techniques 3
- Mitochondrial Function and Pathology 2
- Co-authors
- Xiangjian Zhang (6 shared papers)Jingru Zhao (5 shared papers)Lipeng Dong (5 shared papers)Li Yan (1 shared paper)Kun Wang (1 shared paper)Haiqing Dong (6 shared papers)Yongyong Li (6 shared papers)Hui Chao (5 shared papers)
- Journals
- Biomaterials Science (3 papers)ACS Applied Materials & Interfaces (2 papers)Molecular Medicine (2 papers)Tissue and Cell (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Ya Wen
51 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Neurology 111
- Cancer Research 142
- Complementary and alternative medicine 55
- Biomaterials 87
- Biochemistry 45
Countries citing papers authored by Ya Wen
This map shows the geographic impact of Ya Wen'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 Ya Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Wen more than expected).
Fields of papers citing papers by Ya Wen
This network shows the impact of papers produced by Ya Wen. 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 Ya Wen. The network helps show where Ya Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Wen, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 129 | |
| 2 | 2016 | 104 | |
| 3 | 2015 | 86 | |
| 4 | 2015 | 72 | |
| 5 | 2017 | 71 | |
| 6 | 2017 | 58 | |
| 7 | 2014 | 43 | |
| 8 | 2015 | 42 | |
| 9 | 2017 | 39 | |
| 10 | 2021 | 38 | |
| 11 | 2022 | 36 | |
| 12 | 2016 | 30 | |
| 13 | 2022 | 29 | |
| 14 | 2018 | 28 | |
| 15 | 2018 | 28 | |
| 16 | 2019 | 27 | |
| 17 | 2018 | 22 | |
| 18 | 2021 | 22 | |
| 19 | Suppression of lncRNA SNHG15 protects against cerebral ischemia-reperfusion injury by targeting miR-183-5p/FOXO1 axis. | 2020 | 21 |
| 20 | 2015 | 19 |
About Ya Wen
Ya Wen is a scholar working on Neurology, Molecular Biology, Cancer Research, Genetics and Biomedical Engineering, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Autophagy in Disease and Therapy (4 papers), MicroRNA in disease regulation (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Solid State Laser Technologies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Neurology (111 citations), Cancer Research (142 citations), Complementary and alternative medicine (55 citations), Biomaterials (87 citations) and Biochemistry (45 citations). Ya Wen has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Xiangjian Zhang, Jingru Zhao, Lipeng Dong, Li Yan, Kun Wang, Haiqing Dong, Yongyong Li, Hui Chao, Dou Du and Cong Zhang. Their work appears in journals such as Biomaterials Science, ACS Applied Materials & Interfaces, Molecular Medicine, Tissue and Cell and Cell Death and Disease.
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.