Fang Wu
- Health Informatics top 5%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 7
- MicroRNA in disease regulation 7
- Oncology top 5%
- Lung Cancer Research Studies 17
- Cancer Immunotherapy and Biomarkers 15
- Infectious Diseases top 5%
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- Lung Cancer Treatments and Mutations 23
- Lung Cancer Diagnosis and Treatment 21
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- RNA modifications and cancer 11
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- Radiomics and Machine Learning in Medical Imaging 9
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (5 papers)Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fang Wu
100 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 139
- Health Informatics 45
- Cancer Research 346
- Oncology 467
- Infectious Diseases 294
- Pulmonary and Respiratory Medicine 428
Countries citing papers authored by Fang Wu
This map shows the geographic impact of Fang 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 Fang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Wu more than expected).
Fields of papers citing papers by Fang Wu
This network shows the impact of papers produced by Fang 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 Fang Wu. The network helps show where Fang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 24 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 157 | |
| 15 | CASC11 Overexpression Predicts Poor Prognosis and Regulates Cell Proliferation and Apoptosis in Ovarian Carcinoma | 2020 | 1 |
| 16 | Comprehensive Analysis of CDC27 Related to Peritoneal Metastasis by Whole Exome Sequencing in Gastric Cancer | 2020 | 2 |
| 17 | 2020 | 15 | |
| 18 | Electrospun Poly (Aspartic Acid)-Modified Zein Nanofibers for Promoting Bone Regeneration | 2019 | 1 |
| 19 | 2016 | 1 | |
| 20 | [Herceptin plus adjuvant chemotherapy for the prognosis of patients with human epithelial growth factor receptor 2 positive early-stage breast cancer: a meta-analysis]. | 2007 | 1 |
About Fang Wu
Fang Wu is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (23 papers), Lung Cancer Diagnosis and Treatment (21 papers), Lung Cancer Research Studies (17 papers), Cancer Immunotherapy and Biomarkers (15 papers), RNA modifications and cancer (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Cancer Genomics and Diagnostics (7 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Health Informatics (45 citations), Cancer Research (346 citations) and Oncology (467 citations). Fang Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chunhong Hu, Yue Zeng, Junqi Liu, Yue Pan, Xiaohan Liu, Chenghui Cao, Guyi Wang, Guobao Wu, Chenfang Wu and Jianlei Lv. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.
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.