Winnie W. Wong
- Molecular Biology top 2%
- Immunology top 1%
- Epidemiology top 5%
- Oncology top 5%
- Cell Biology top 5%
- Co-authors
- Tariq GhayurRobert V. TalanianDouglas T. FearonRobert KamenMichael PaskindDaniel E. TraceySubhashis BanerjeeMargaret Hugunin
- Topics
- Cell death mechanisms and regulation (7 papers)Complement system in diseases (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Winnie W. Wong
23 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 3.5k
- Immunology 2.1k
- Epidemiology 611
- Oncology 508
- Cell Biology 380
Countries citing papers authored by Winnie W. Wong
This map shows the geographic impact of Winnie W. Wong'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 W. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Winnie W. Wong more than expected).
Fields of papers citing papers by Winnie W. Wong
This network shows the impact of papers produced by Winnie W. Wong. 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 W. Wong. The network helps show where Winnie W. Wong may publish in the future.
Co-authorship network of co-authors of Winnie W. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Winnie W. Wong. A scholar is included among the top collaborators of Winnie W. Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Winnie W. Wong. Winnie W. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 144 | |
| 7 | 21 | |
| 8 | 14 | |
| 9 | 35 | |
| 10 | 130 | |
| 11 | 35 | |
| 12 | 117 | |
| 13 | Substrate Specificities of Caspase Family Proteasesbreakdown → | 768 |
| 14 | Caspase-1 processes IFN-γ-inducing factor and regulates LPS-induced IFN- γ productionbreakdown → | 1037 |
| 15 | 34 | |
| 16 | Mice deficient in IL-1β-converting enzyme are defective in production of mature IL-1β and resistant to endotoxic shockbreakdown → | 1225 |
| 17 | Inhibition of ICE Family Proteases by Baculovirus Antiapoptotic Protein p35breakdown → | 555 |
| 18 | 19 | |
| 19 | 25 | |
| 20 | 265 |
About Winnie W. Wong
Winnie W. Wong is a scholar working on Immunology, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), Complement system in diseases (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (2.1k citations), Molecular Biology (3.5k citations) and Hematology (359 citations). Winnie W. Wong has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Tariq Ghayur, Robert V. Talanian, Douglas T. Fearon, Robert Kamen, Michael Paskind, Daniel E. Tracey, Subhashis Banerjee, Margaret Hugunin, John A. Mankovich and Maria Hackett. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.