Winnie Fu

502 citations
12 papers · 364 · h-index 8

Impact in

Papers in

Winnie Fu

10 papers receiving 354 citations

Peers

Winnie Fu
Comparison fields: 5 of 30
  • Radiology, Nuclear Medicine and Imaging 75
  • Pulmonary and Respiratory Medicine 113
  • Health 26
  • Obstetrics and Gynecology 22
  • Toxicology 3
Replace Vincent S.W. Koo with:
Vincent S.W. Koo United Kingdom
Situ Xiong China
Catarina Dinis Fernandes Netherlands
Hong Huang United States
Aleš Rozman Slovenia
Fabio Stefano Frech United States
Asha N. Chesnutt United States
Christin Glowa Germany
Honest Ndlovu South Africa
Katia Rupel Italy
Winnie Fu relative to Vincent S.W. Koo United Kingdom Vincent S.W. Koo's profile →
Citations per field
00.5×2×4×5.3×
Vincent S.W. Koo · 1×
Citations per year

Countries citing papers authored by Winnie Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with Winnie Fu Line = papers co-authored together Winnie Fu links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016124
2 202178
3 202173
4 201532
5 202021
6 201613
7 20068
8 20108
9 20065
10 20061
11 20171
12 20150

About Winnie Fu

Winnie Fu is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 12 papers that have together received 364 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (3 papers), Renal cell carcinoma treatment (2 papers), Pericarditis and Cardiac Tamponade (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Cerebrovascular and Carotid Artery Diseases (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (75 citations), Pulmonary and Respiratory Medicine (113 citations), Health (26 citations), Obstetrics and Gynecology (22 citations) and Toxicology (3 citations). Winnie Fu has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Gavin Low, Safwat Girgis, Guan‐Tarn Huang, Cornelia Hoehr, Paul C. Schaffer, Andrew K. H. Robertson, Hua Yang, Caterina F. Ramogida, Brooke L. McNeil and Chelsea N. Elwood. Their work appears in journals such as Canadian Journal of Emergency Medicine, Journal of the Neurological Sciences, Journal of Neurophysiology, JNCI Journal of the National Cancer Institute and EJNMMI Radiopharmacy and Chemistry.

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.

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