Hai Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
Papers in
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- RNA Research and Splicing 12
- Genomics and Chromatin Dynamics 7
- RNA modifications and cancer 6
- Bone Metabolism and Diseases 6
- Circular RNAs in diseases 4
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- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 7
- Co-authors
- Yao Li (12 shared papers)Jane B. Lian (11 shared papers)André J. van Wijnen (10 shared papers)Janet L. Stein (9 shared papers)Gary S. Stein (8 shared papers)Zhe Kong (7 shared papers)Xuechao Wan (6 shared papers)Yalong Zhang (6 shared papers)
- Journals
- The International Journal of Biochemistry & Cell Biology (3 papers)Journal of Cellular Physiology (3 papers)Oncotarget (3 papers)PLoS ONE (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Hai Wu
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 645
- Molecular Biology 1.1k
- Oncology 301
- Immunology 127
- Biochemistry 38
Countries citing papers authored by Hai Wu
This map shows the geographic impact of Hai 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 Hai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Wu more than expected).
Fields of papers citing papers by Hai Wu
This network shows the impact of papers produced by Hai 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 Hai Wu. The network helps show where Hai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2014 | 126 | |
| 3 | 2016 | 81 | |
| 4 | 2020 | 77 | |
| 5 | 2007 | 66 | |
| 6 | 2014 | 60 | |
| 7 | 2018 | 57 | |
| 8 | 2017 | 55 | |
| 9 | 2016 | 52 | |
| 10 | 2003 | 52 | |
| 11 | 2020 | 52 | |
| 12 | 2020 | 51 | |
| 13 | 2015 | 45 | |
| 14 | 2007 | 42 | |
| 15 | 2018 | 40 | |
| 16 | 2015 | 38 | |
| 17 | 2017 | 38 | |
| 18 | 2015 | 36 | |
| 19 | 2017 | 35 | |
| 20 | 2015 | 33 |
About Hai Wu
Hai Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Infectious Diseases, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (7 papers), Genomics and Chromatin Dynamics (7 papers), RNA modifications and cancer (6 papers), Bone Metabolism and Diseases (6 papers), Circular RNAs in diseases (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Cancer Research (645 citations), Molecular Biology (1.1k citations), Oncology (301 citations), Immunology (127 citations) and Biochemistry (38 citations). Hai Wu has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Yao Li, Jane B. Lian, André J. van Wijnen, Janet L. Stein, Gary S. Stein, Zhe Kong, Xuechao Wan, Yalong Zhang, Troy W. Whitfield and Phillip W.L. Tai. Their work appears in journals such as The International Journal of Biochemistry & Cell Biology, Journal of Cellular Physiology, Oncotarget, PLoS ONE and Clinical Cancer Research.
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.