Wei Fu
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- PARP inhibition in cancer therapy
-
- Prostate Cancer Treatment and Research
Papers in
-
- Prostate Cancer Treatment and Research 7
- Lung Cancer Diagnosis and Treatment 6
- Oncology 21
- Pancreatic and Hepatic Oncology Research 7
- Co-authors
- Emmanuel S. Antonarakis (7 shared papers)Hao Wang (8 shared papers)Chen Hu (20 shared papers)Michelle Petri (6 shared papers)Tamara L. Lotan (2 shared papers)Catherine H. Marshall (3 shared papers)Russell K. Hales (10 shared papers)Sarah Z. Hazell (8 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Annals of the Rheumatic Diseases (4 papers)Frontiers in Neurology (4 papers)International Immunopharmacology (3 papers)Practical Radiation Oncology (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Wei Fu
65 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Oncology 517
- Pulmonary and Respiratory Medicine 530
- Neurology 95
- Cancer Research 162
- Immunology 203
Countries citing papers authored by Wei Fu
This map shows the geographic impact of Wei Fu'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 Wei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Fu more than expected).
Fields of papers citing papers by Wei Fu
This network shows the impact of papers produced by Wei Fu. 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 Wei Fu. The network helps show where Wei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Fu, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 144 | |
| 2 | 2020 | 131 | |
| 3 | 2019 | 87 | |
| 4 | 2020 | 71 | |
| 5 | 2018 | 70 | |
| 6 | 2019 | 66 | |
| 7 | 2019 | 58 | |
| 8 | 2017 | 50 | |
| 9 | 2021 | 47 | |
| 10 | 2021 | 39 | |
| 11 | 2021 | 37 | |
| 12 | 2021 | 34 | |
| 13 | 2021 | 34 | |
| 14 | 2022 | 26 | |
| 15 | 2009 | 26 | |
| 16 | 2017 | 24 | |
| 17 | 2017 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2022 | 16 |
About Wei Fu
Wei Fu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Neurology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (10 papers), Pancreatic and Hepatic Oncology Research (7 papers), Ophthalmology and Eye Disorders (7 papers), Prostate Cancer Treatment and Research (7 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Systemic Lupus Erythematosus Research (6 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Oncology (517 citations), Pulmonary and Respiratory Medicine (530 citations), Neurology (95 citations), Cancer Research (162 citations) and Immunology (203 citations). Wei Fu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Emmanuel S. Antonarakis, Hao Wang, Chen Hu, Michelle Petri, Tamara L. Lotan, Catherine H. Marshall, Russell K. Hales, Sarah Z. Hazell, Josephine Feliciano and Todd McNutt. Their work appears in journals such as Journal of Clinical Oncology, Annals of the Rheumatic Diseases, Frontiers in Neurology, International Immunopharmacology and Practical Radiation Oncology.
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.