Jun Wu Tang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Otorhinolaryngology top 2%
Papers in
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 8
- Breast Cancer Treatment Studies 8
- Cancer Genomics and Diagnostics 7
- Oncology 22
- HER2/EGFR in Cancer Research 5
- Co-authors
- Rong Deng (21 shared papers)Dandan Li (4 shared papers)Zhi‐Ling Li (7 shared papers)Yun Huang (6 shared papers)Xiao‐Feng Zhu (8 shared papers)Gong‐Kan Feng (8 shared papers)Yuhong Chen (7 shared papers)Xuan Li (3 shared papers)
- Journals
- Nature Communications (7 papers)Oncogene (4 papers)Cell Death and Disease (3 papers)Annals of Surgical Oncology (3 papers)Nature (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Wu Tang
118 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 1.2k
- Otorhinolaryngology 157
- Oncology 687
- Molecular Biology 1.8k
- Immunology and Allergy 111
Countries citing papers authored by Jun Wu Tang
This map shows the geographic impact of Jun Wu Tang'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 Jun Wu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wu Tang more than expected).
Fields of papers citing papers by Jun Wu Tang
This network shows the impact of papers produced by Jun Wu Tang. 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 Jun Wu Tang. The network helps show where Jun Wu Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wu Tang, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 238 | |
| 2 | 2017 | 214 | |
| 3 | 2021 | 213 | |
| 4 | 2020 | 178 | |
| 5 | 2020 | 158 | |
| 6 | 2020 | 144 | |
| 7 | 2021 | 144 | |
| 8 | 2021 | 116 | |
| 9 | 2013 | 114 | |
| 10 | 2013 | 109 | |
| 11 | 2019 | 90 | |
| 12 | 2017 | 84 | |
| 13 | 2021 | 81 | |
| 14 | 2017 | 78 | |
| 15 | 2019 | 78 | |
| 16 | 2015 | 72 | |
| 17 | 2010 | 71 | |
| 18 | 2021 | 66 | |
| 19 | 2018 | 63 | |
| 20 | 2012 | 61 |
About Jun Wu Tang
Jun Wu Tang is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Otorhinolaryngology, having authored 120 papers that have together received 3.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (8 papers), Breast Cancer Treatment Studies (8 papers), Autophagy in Disease and Therapy (7 papers), Cancer Genomics and Diagnostics (7 papers), Allergic Rhinitis and Sensitization (6 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Otorhinolaryngology (157 citations), Oncology (687 citations), Molecular Biology (1.8k citations) and Immunology and Allergy (111 citations). Jun Wu Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rong Deng, Dandan Li, Zhi‐Ling Li, Yun Huang, Xiao‐Feng Zhu, Gong‐Kan Feng, Xiao‐Feng Zhu, Yuhong Chen, Xuan Li and Gong-Kan Feng. Their work appears in journals such as Nature Communications, Oncogene, Cell Death and Disease, Annals of Surgical Oncology and Nature.
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.