Hai Jun Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Otorhinolaryngology top 5%
Papers in
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 6
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- RNA Research and Splicing 9
- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 6
- Bone Metabolism and Diseases 6
- 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)Yalong Zhang (6 shared papers)Zhe Kong (7 shared papers)Xuechao Wan (6 shared papers)
- Journals
- The International Journal of Biochemistry & Cell Biology (3 papers)Journal of Cellular Physiology (3 papers)PLoS ONE (3 papers)Oncotarget (3 papers)Clinical Cancer Research (3 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Hai Jun Wu
67 papers receiving 2.4k citations
Hai Jun Wu's Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 601
- Otorhinolaryngology 108
- Oncology 676
- Molecular Biology 1.1k
- Immunology 240
Countries citing papers authored by Hai Jun Wu
This map shows the geographic impact of Hai Jun 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 Jun 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 Jun Wu more than expected).
Fields of papers citing papers by Hai Jun Wu
This network shows the impact of papers produced by Hai Jun 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 Jun Wu. The network helps show where Hai Jun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Jun 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficacy, Safety, and Correlative Biomarkers of Toripalimab in Previously Treated Recurrent or Metastatic Nasopharyngeal Carcinoma: A Phase II Clinical Trial (POLARIS-02) Hit paper breakdown → | 2021 | 251 |
| 2 | 2019 | 146 | |
| 3 | 2020 | 138 | |
| 4 | 2017 | 132 | |
| 5 | 2019 | 131 | |
| 6 | 2014 | 130 | |
| 7 | 2020 | 89 | |
| 8 | 2016 | 85 | |
| 9 | 2007 | 67 | |
| 10 | 2014 | 61 | |
| 11 | 2020 | 60 | |
| 12 | 2019 | 59 | |
| 13 | 2017 | 58 | |
| 14 | 2018 | 57 | |
| 15 | 2003 | 55 | |
| 16 | 2016 | 55 | |
| 17 | 2015 | 51 | |
| 18 | 2017 | 47 | |
| 19 | 2007 | 44 | |
| 20 | 2015 | 40 |
About Hai Jun Wu
Hai Jun Wu is a scholar working on Cancer Research, Molecular Biology, Oncology, Infectious Diseases and Epidemiology, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Cancer-related molecular mechanisms research (9 papers), Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (6 papers), Bone Metabolism and Diseases (6 papers), MicroRNA in disease regulation (6 papers), Tuberculosis Research and Epidemiology (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Cancer Research (601 citations), Otorhinolaryngology (108 citations), Oncology (676 citations), Molecular Biology (1.1k citations) and Immunology (240 citations). Hai Jun Wu has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Yao Li, Jane B. Lian, André J. van Wijnen, Janet L. Stein, Gary S. Stein, Yalong Zhang, Zhe Kong, Xuechao Wan, 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, PLoS ONE, Oncotarget 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.