Suhui Wu
Impact in
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- Data Quality and Management
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cervical Cancer and HPV Research 7
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- Macrophage Migration Inhibitory Factor 3
- Co-authors
- Hua Bai (2 shared papers)Xianpei Han (3 shared papers)Le Sun (3 shared papers)Hao Kong (3 shared papers)Xiaochun Liu (3 shared papers)Jun Xie (4 shared papers)Hao Qian (1 shared paper)Wei Zhang (1 shared paper)
- Journals
- Thrombosis Research (1 paper)JCO Global Oncology (1 paper)Cancer Cell International (1 paper)Journal of Lower Genital Tract Disease (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesColombia
In The Last Decade
Suhui Wu
27 papers receiving 506 citations
Peers
Comparison fields: 5 of 87
- Management Science and Operations Research 110
- Cancer Research 98
- Artificial Intelligence 151
- Internal Medicine 12
- Urology 20
Countries citing papers authored by Suhui Wu
This map shows the geographic impact of Suhui 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 Suhui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhui Wu more than expected).
Fields of papers citing papers by Suhui Wu
This network shows the impact of papers produced by Suhui 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 Suhui Wu. The network helps show where Suhui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Suhui 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2019 | 57 | |
| 3 | 2018 | 50 | |
| 4 | 2019 | 44 | |
| 5 | 2023 | 44 | |
| 6 | 2020 | 36 | |
| 7 | 2012 | 34 | |
| 8 | 2020 | 29 | |
| 9 | 2021 | 21 | |
| 10 | 2011 | 20 | |
| 11 | 2011 | 20 | |
| 12 | 2014 | 9 | |
| 13 | 2020 | 9 | |
| 14 | [Expression of ETV5 and MMP-7 in early stage cervical squamous cell carcinoma and its role in lymphatic metastasis]. | 2006 | 8 |
| 15 | 2011 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2017 | 5 |
About Suhui Wu
Suhui Wu is a scholar working on Epidemiology, Immunology, Oncology, Molecular Biology and Artificial Intelligence, having authored 30 papers that have together received 521 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (7 papers), Ovarian cancer diagnosis and treatment (3 papers), Data Quality and Management (3 papers), Pelvic floor disorders treatments (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Urological Disorders and Treatments (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (110 citations), Cancer Research (98 citations), Artificial Intelligence (151 citations), Internal Medicine (12 citations) and Urology (20 citations). Suhui Wu has collaborated with scholars based in China, United States and Colombia. Frequent co-authors include Hua Bai, Xianpei Han, Le Sun, Hao Kong, Xiaochun Liu, Jun Xie, Hao Qian, Wei Zhang, Wenzhen Wang and Shiwei Wang. Their work appears in journals such as Thrombosis Research, JCO Global Oncology, Cancer Cell International, Journal of Lower Genital Tract Disease and Stem Cell Research & Therapy.
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.