Jane Wong
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Mast cells and histamine
- Galectins and Cancer Biology
- Urology top 10%
Papers in
-
- Fibroblast Growth Factor Research 2
- Kruppel-like factors research 1
- Protein Tyrosine Phosphatases 1
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Andrew C. Chan (5 shared papers)Paul W. Finch (2 shared papers)Jeffrey S. Rubin (2 shared papers)Dina Ron (1 shared paper)Gerald R. Cunha (1 shared paper)Klaus Fütterer (2 shared papers)Gabriel Waksman (2 shared papers)Richard A. Grucza (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Immunology (1 paper)Progress in Biophysics and Molecular Biology (1 paper)Mutation Research/Genetic Toxicology and Environmental Mutagenesis (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesSingaporeUruguay
In The Last Decade
Jane Wong
11 papers receiving 711 citations
Peers
Comparison fields: 5 of 78
- Immunology 255
- Urology 50
- Molecular Biology 439
- Immunology and Allergy 33
- Cell Biology 77
Countries citing papers authored by Jane Wong
This map shows the geographic impact of Jane 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 Jane Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Wong more than expected).
Fields of papers citing papers by Jane Wong
This network shows the impact of papers produced by Jane 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 Jane Wong. The network helps show where Jane Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Wong, 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 | 1995 | 248 | |
| 2 | 1998 | 173 | |
| 3 | 1999 | 96 | |
| 4 | 2007 | 64 | |
| 5 | 1990 | 48 | |
| 6 | 2000 | 35 | |
| 7 | 1998 | 27 | |
| 8 | 1981 | 21 | |
| 9 | 2020 | 10 | |
| 10 | 1999 | 6 | |
| 11 | 1975 | 2 |
About Jane Wong
Jane Wong is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 11 papers that have together received 730 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Fibroblast Growth Factor Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Kruppel-like factors research (1 paper), Protein Tyrosine Phosphatases (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (255 citations), Urology (50 citations), Molecular Biology (439 citations), Immunology and Allergy (33 citations) and Cell Biology (77 citations). Jane Wong has collaborated with scholars based in United States, Singapore and Uruguay. Frequent co-authors include Andrew C. Chan, Paul W. Finch, Jeffrey S. Rubin, Dina Ron, Gerald R. Cunha, Klaus Fütterer, Gabriel Waksman, Richard A. Grucza, Carlos E. Soto and Matthew L. Thomas. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Progress in Biophysics and Molecular Biology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Journal of Molecular Biology.
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.