Yu Wan
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- Surgery 7
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Linyun Guo (4 shared papers)Jianye Yang (4 shared papers)Jun‐Ming Tang (4 shared papers)Yong-Zhang Huang (2 shared papers)Xia Kong (2 shared papers)Jianing Wang (3 shared papers)Shi‐You Chen (3 shared papers)Fei Zheng (3 shared papers)
- Journals
- International Journal of Cardiology (2 papers)Atherosclerosis (2 papers)World Neurosurgery (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Wan
25 papers receiving 769 citations
Peers
Comparison fields: 5 of 102
- Genetics 164
- Biomaterials 103
- Immunology 142
- Surgery 219
- Oncology 122
Countries citing papers authored by Yu Wan
This map shows the geographic impact of Yu Wan'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 Yu Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wan more than expected).
Fields of papers citing papers by Yu Wan
This network shows the impact of papers produced by Yu Wan. 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 Yu Wan. The network helps show where Yu Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Wan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 207 | |
| 2 | 2012 | 124 | |
| 3 | 2009 | 88 | |
| 4 | 2018 | 69 | |
| 5 | 1998 | 33 | |
| 6 | 2016 | 31 | |
| 7 | 2014 | 28 | |
| 8 | 2015 | 26 | |
| 9 | 2022 | 26 | |
| 10 | 2017 | 23 | |
| 11 | 2008 | 18 | |
| 12 | 2014 | 17 | |
| 13 | 2010 | 15 | |
| 14 | 2023 | 12 | |
| 15 | 2006 | 11 | |
| 16 | 2015 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2020 | 6 | |
| 20 | 2022 | 4 |
About Yu Wan
Yu Wan is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Genetics and Genetics, having authored 28 papers that have together received 777 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Estrogen and related hormone effects (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Remote-Sensing Image Classification (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Genetics (164 citations), Biomaterials (103 citations), Immunology (142 citations), Surgery (219 citations) and Oncology (122 citations). Yu Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Linyun Guo, Jianye Yang, Jun‐Ming Tang, Yong-Zhang Huang, Xia Kong, Jianing Wang, Shi‐You Chen, Fei Zheng, Lei Zhang and Long Chen. Their work appears in journals such as International Journal of Cardiology, Atherosclerosis, World Neurosurgery, American Journal of Physiology-Lung Cellular and Molecular Physiology and Nature Structural & Molecular 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.