Pan Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
Papers in
-
- MicroRNA in disease regulation 12
- Cancer, Hypoxia, and Metabolism 11
- Cancer-related molecular mechanisms research 9
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- Head and Neck Cancer Studies 12
- Co-authors
- Nan Wu (16 shared papers)Shuanglong Xiong (7 shared papers)Hua Feng (4 shared papers)Bin Liao (11 shared papers)Xianwen Hu (20 shared papers)Junwei Wang (5 shared papers)Yibo Gao (2 shared papers)Zhenlin Yang (1 shared paper)
- Journals
- Frontiers in Medicine (5 papers)Frontiers in Oncology (5 papers)Oncotarget (4 papers)Cell Death and Disease (4 papers)BMC Cancer (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Pan Wang
173 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 641
- Otorhinolaryngology 172
- Oncology 464
- Molecular Biology 1.1k
- Immunology 278
Countries citing papers authored by Pan Wang
This map shows the geographic impact of Pan Wang'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 Pan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Wang more than expected).
Fields of papers citing papers by Pan Wang
This network shows the impact of papers produced by Pan Wang. 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 Pan Wang. The network helps show where Pan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Wang, 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 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 130 | |
| 2 | 2018 | 117 | |
| 3 | 2017 | 90 | |
| 4 | 2015 | 78 | |
| 5 | 2020 | 70 | |
| 6 | 2019 | 66 | |
| 7 | 2017 | 57 | |
| 8 | 2012 | 55 | |
| 9 | 2021 | 53 | |
| 10 | 2017 | 49 | |
| 11 | 2021 | 48 | |
| 12 | 2016 | 48 | |
| 13 | 2019 | 47 | |
| 14 | 2020 | 44 | |
| 15 | 2021 | 40 | |
| 16 | 2015 | 40 | |
| 17 | 2023 | 40 | |
| 18 | 2017 | 40 | |
| 19 | 2019 | 39 | |
| 20 | 2017 | 37 |
About Pan Wang
Pan Wang is a scholar working on Cancer Research, Otorhinolaryngology, Neurology, Oncology and Genetics, having authored 191 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Head and Neck Cancer Studies (12 papers), Cancer, Hypoxia, and Metabolism (11 papers), Meningioma and schwannoma management (9 papers), Cancer-related molecular mechanisms research (9 papers), Ovarian cancer diagnosis and treatment (8 papers), Cancer Cells and Metastasis (8 papers) and Head and Neck Surgical Oncology (7 papers). The work is most often cited by research in Cancer Research (641 citations), Otorhinolaryngology (172 citations), Oncology (464 citations), Molecular Biology (1.1k citations) and Immunology (278 citations). Pan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nan Wu, Shuanglong Xiong, Hua Feng, Bin Liao, Xianwen Hu, Junwei Wang, Yibo Gao, Zhenlin Yang, Fucheng He and Fei Shao. Their work appears in journals such as Frontiers in Medicine, Frontiers in Oncology, Oncotarget, Cell Death and Disease and BMC Cancer.
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.