Wang Hu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- RNA Interference and Gene Delivery
- Epigenetics and DNA Methylation
Papers in
-
- Melanoma and MAPK Pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
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- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Co-authors
- Xu Dong Zhang (5 shared papers)Lei Jin (4 shared papers)Mian Wu (3 shared papers)Rick F. Thorne (3 shared papers)Yu Fang Wang (1 shared paper)An Xu (1 shared paper)Chen Chen Jiang (2 shared papers)James S. Wilmott (2 shared papers)
- Journals
- Nature Communications (1 paper)Journal of neurosurgery (1 paper)Translational Oncology (1 paper)Journal of Gastroenterology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Wang Hu
7 papers receiving 500 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 306
- Molecular Biology 379
- Oncology 39
- Immunology 30
- Cell Biology 22
Countries citing papers authored by Wang Hu
This map shows the geographic impact of Wang Hu'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 Wang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Hu more than expected).
Fields of papers citing papers by Wang Hu
This network shows the impact of papers produced by Wang Hu. 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 Wang Hu. The network helps show where Wang Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Hu, 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 | 2018 | 227 | |
| 2 | 2011 | 151 | |
| 3 | 2013 | 67 | |
| 4 | 2015 | 35 | |
| 5 | 2020 | 18 | |
| 6 | 2013 | 6 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 0 | |
| 9 | 2021 | 0 |
About Wang Hu
Wang Hu is a scholar working on Molecular Biology, Cancer Research, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine and Neurology, having authored 9 papers that have together received 506 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Image Enhancement Techniques (2 papers), Image and Signal Denoising Methods (2 papers), Melanoma and MAPK Pathways (2 papers), MicroRNA in disease regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Advanced Image Processing Techniques (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Cancer Research (306 citations), Molecular Biology (379 citations), Oncology (39 citations), Immunology (30 citations) and Cell Biology (22 citations). Wang Hu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xu Dong Zhang, Lei Jin, Mian Wu, Rick F. Thorne, Yu Fang Wang, An Xu, Chen Chen Jiang, James S. Wilmott, Richard A. Scolyer and Peter Hersey. Their work appears in journals such as Nature Communications, Journal of neurosurgery, Translational Oncology, Journal of Gastroenterology and Proceedings of the National Academy of Sciences.
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.