Winnie Fu
Impact in
- Obstetrics and Gynecology top 10%
- COVID-19 Impact on Reproduction
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- Renal cell carcinoma treatment
- Renal and Vascular Pathologies
Papers in
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- Renal cell carcinoma treatment 2
- Medical Imaging and Pathology Studies 1
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- Renal and related cancers 2
- Co-authors
- Gavin Low (3 shared papers)Guan‐Tarn Huang (2 shared papers)Safwat Girgis (2 shared papers)Paul Schaffer (1 shared paper)Andrew K. H. Robertson (1 shared paper)Cornelia Hoehr (1 shared paper)Arianne Albert (1 shared paper)Deborah Money (1 shared paper)
- Journals
- EJNMMI Radiopharmacy and Chemistry (1 paper)International Journal of Gynecology & Obstetrics (1 paper)Journal of Cardiovascular Magnetic Resonance (1 paper)Canadian Journal of Emergency Medicine (1 paper)Journal of Radiology Case Reports (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Winnie Fu
6 papers receiving 299 citations
Peers
Comparison fields: 5 of 55
- Obstetrics and Gynecology 60
- Pulmonary and Respiratory Medicine 147
- Radiology, Nuclear Medicine and Imaging 100
- Health 32
- Family Practice 4
Countries citing papers authored by Winnie Fu
This map shows the geographic impact of Winnie 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 Winnie Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Winnie Fu more than expected).
Fields of papers citing papers by Winnie Fu
This network shows the impact of papers produced by Winnie 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 Winnie Fu. The network helps show where Winnie Fu may publish in the future.
Co-authors
The 18 scholars most cited alongside Winnie 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 114 | |
| 2 | 2021 | 70 | |
| 3 | 2021 | 69 | |
| 4 | 2015 | 30 | |
| 5 | 2016 | 12 | |
| 6 | 2010 | 8 | |
| 7 | 2015 | 0 |
About Winnie Fu
Winnie Fu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 7 papers that have together received 303 indexed citations. Recurring topics across this work include Renal and related cancers (2 papers), Renal cell carcinoma treatment (2 papers), Cancer Genomics and Diagnostics (1 paper), Medical Imaging Techniques and Applications (1 paper), Medical Imaging and Pathology Studies (1 paper), Emergency and Acute Care Studies (1 paper), Reproductive System and Pregnancy (1 paper) and COVID-19 Impact on Reproduction (1 paper). The work is most often cited by research in Obstetrics and Gynecology (60 citations), Pulmonary and Respiratory Medicine (147 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Health (32 citations) and Family Practice (4 citations). Winnie Fu has collaborated with scholars based in Canada and United States. Frequent co-authors include Gavin Low, Guan‐Tarn Huang, Safwat Girgis, Paul Schaffer, Andrew K. H. Robertson, Cornelia Hoehr, Arianne Albert, Deborah Money, Vimal Patel and Elisabeth McClymont. Their work appears in journals such as EJNMMI Radiopharmacy and Chemistry, International Journal of Gynecology & Obstetrics, Journal of Cardiovascular Magnetic Resonance, Canadian Journal of Emergency Medicine and Journal of Radiology Case Reports.
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.