Kan Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
-
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
- Surgery 30
- Adrenal and Paraganglionic Tumors 15
- Bladder and Urothelial Cancer Treatments 7
- Urinary and Genital Oncology Studies 5
- Co-authors
- Shirong Zhang (14 shared papers)Jiayu Liang (18 shared papers)Shenglin Ma (13 shared papers)Yiping Lu (15 shared papers)Fuxun Zhang (16 shared papers)Lucheng Zhu (11 shared papers)Chuan Zhou (12 shared papers)Xueqin Chen (4 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Journal of Thoracic Oncology (3 papers)Scientific Reports (2 papers)Surgery (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kan Wu
74 papers receiving 772 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 229
- Oncology 221
- Pulmonary and Respiratory Medicine 211
- Molecular Biology 341
- Genetics 47
Countries citing papers authored by Kan Wu
This map shows the geographic impact of Kan 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 Kan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Wu more than expected).
Fields of papers citing papers by Kan Wu
This network shows the impact of papers produced by Kan 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 Kan Wu. The network helps show where Kan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 73 | |
| 2 | 2017 | 65 | |
| 3 | 2021 | 59 | |
| 4 | Glo1 genetic amplification as a potential therapeutic target in hepatocellular carcinoma. | 2014 | 37 |
| 5 | 2015 | 34 | |
| 6 | 2018 | 33 | |
| 7 | 2015 | 25 | |
| 8 | 2018 | 23 | |
| 9 | 2019 | 20 | |
| 10 | 2014 | 20 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2007 | 12 |
About Kan Wu
Kan Wu is a scholar working on Surgery, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 77 papers that have together received 776 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (15 papers), Pituitary Gland Disorders and Treatments (11 papers), Cancer, Hypoxia, and Metabolism (11 papers), Bladder and Urothelial Cancer Treatments (7 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Research Studies (6 papers) and Urinary and Genital Oncology Studies (5 papers). The work is most often cited by research in Cancer Research (229 citations), Oncology (221 citations), Pulmonary and Respiratory Medicine (211 citations), Molecular Biology (341 citations) and Genetics (47 citations). Kan Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shirong Zhang, Jiayu Liang, Shenglin Ma, Yiping Lu, Fuxun Zhang, Lucheng Zhu, Chuan Zhou, Xueqin Chen, Zhihong Liu and Xianding Wang. Their work appears in journals such as Frontiers in Oncology, Journal of Thoracic Oncology, Scientific Reports, Surgery and Frontiers in Immunology.
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.