Yan Wu
- Immunology top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 6
- Periodontics top 5%
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 7
- Rheumatology top 5%
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- Neuropeptides and Animal Physiology 9
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- PI3K/AKT/mTOR signaling in cancer 7
- Protein Kinase Regulation and GTPase Signaling 7
- Viral Infectious Diseases and Gene Expression in Insects 6
- Receptor Mechanisms and Signaling 6
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- Mesenchymal stem cell research 7
- Co-authors
- Ian S. ZagonPatricia J. McLaughlinYongchang ChenZuyi YuanBoon Chin HengHai QianLi TangYuandong Tao
- Journals
- American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (6 papers)Scientific Reports (4 papers)International Journal of Molecular Medicine (3 papers)
- Partner nations
- ChinaUnited StatesGhana
In The Last Decade
Yan Wu
110 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 123
- Immunology 598
- Cancer Research 372
- Periodontics 82
- Oncology 414
- Rheumatology 224
Countries citing papers authored by Yan Wu
This map shows the geographic impact of Yan 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 Yan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Wu more than expected).
Fields of papers citing papers by Yan Wu
This network shows the impact of papers produced by Yan 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 Yan Wu. The network helps show where Yan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 9 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 279 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 10 | |
| 11 | 2017 | 53 | |
| 12 | 2016 | 44 | |
| 13 | 2016 | 74 | |
| 14 | 2016 | 29 | |
| 15 | 2015 | 8 | |
| 16 | 2014 | 20 | |
| 17 | 2013 | 27 | |
| 18 | 2013 | 3 | |
| 19 | 2012 | 138 | |
| 20 | 2008 | 4 |
About Yan Wu
Yan Wu is a scholar working on Cancer Research, Periodontics and Oncology, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Mesenchymal stem cell research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Receptor Mechanisms and Signaling (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Immunology (598 citations), Cancer Research (372 citations) and Periodontics (82 citations). Yan Wu has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Ian S. Zagon, Patricia J. McLaughlin, Yongchang Chen, Zuyi Yuan, Boon Chin Heng, Hai Qian, Li Tang, Yuandong Tao, Xinyuan Zhao and Wenting Yang. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Scientific Reports, International Journal of Molecular Medicine, Cell Biology International and Oncotarget.
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.