Kui Wu
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA modifications and cancer 8
- Gut microbiota and health 4
-
- Cancer Genomics and Diagnostics 15
- Co-authors
- Kim–Hui Yap (11 shared papers)Fuqiang Li (17 shared papers)Changzheng Wang (4 shared papers)Kun Sun (3 shared papers)Jianxing He (5 shared papers)Dakai Xiao (5 shared papers)Tao Chen (3 shared papers)Hui Pan (2 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Oncotarget (3 papers)Heliyon (3 papers)Journal of Clinical Oncology (3 papers)Communications Biology (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kui Wu
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 246
- Oncology 295
- Computer Vision and Pattern Recognition 162
- Immunology 127
- Pulmonary and Respiratory Medicine 178
Countries citing papers authored by Kui Wu
This map shows the geographic impact of Kui 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 Kui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kui Wu more than expected).
Fields of papers citing papers by Kui Wu
This network shows the impact of papers produced by Kui 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 Kui Wu. The network helps show where Kui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kui 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 134 | |
| 2 | 2017 | 82 | |
| 3 | IL-10-producing type 1 regulatory T cells and allergy. | 2007 | 79 |
| 4 | 2015 | 74 | |
| 5 | 2016 | 61 | |
| 6 | 2022 | 59 | |
| 7 | 2006 | 51 | |
| 8 | 2023 | 43 | |
| 9 | 2021 | 43 | |
| 10 | 2019 | 41 | |
| 11 | 2010 | 39 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 31 | |
| 14 | 2008 | 29 | |
| 15 | 2016 | 27 | |
| 16 | 2019 | 27 | |
| 17 | 2005 | 27 | |
| 18 | 2017 | 26 | |
| 19 | 2021 | 26 | |
| 20 | 2020 | 25 |
About Kui Wu
Kui Wu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Oncology, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Advanced Image and Video Retrieval Techniques (11 papers), Lung Cancer Treatments and Mutations (11 papers), RNA modifications and cancer (8 papers), Image Retrieval and Classification Techniques (8 papers), Immunotherapy and Immune Responses (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Cancer Research (246 citations), Oncology (295 citations), Computer Vision and Pattern Recognition (162 citations), Immunology (127 citations) and Pulmonary and Respiratory Medicine (178 citations). Kui Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kim–Hui Yap, Fuqiang Li, Changzheng Wang, Kun Sun, Jianxing He, Dakai Xiao, Tao Chen, Hui Pan, Zhen Li and Qiang Pan‐Hammarström. Their work appears in journals such as Frontiers in Oncology, Oncotarget, Heliyon, Journal of Clinical Oncology and Communications Biology.
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.