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
- Epigenetics and DNA Methylation 1
- Glycosylation and Glycoproteins Research 1
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Andrew C. Chan (5 shared papers)Jeffrey S. Rubin (2 shared papers)Paul W. Finch (2 shared papers)Dina Ron (1 shared paper)Gerald R. Cunha (1 shared paper)Gabriel Waksman (2 shared papers)Klaus Fütterer (2 shared papers)Richard A. Grucza (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Immunology (1 paper)Oncogene (1 paper)Developmental Dynamics (1 paper)Progress in Biophysics and Molecular Biology (1 paper)
- Partner nations
- United StatesSingaporeNew Zealand
In The Last Decade
Jane Wong
11 papers receiving 734 citations
Peers
Comparison fields: 5 of 78
- Immunology 254
- Urology 43
- Molecular Biology 446
- Immunology and Allergy 30
- Oncology 124
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 | 263 | |
| 2 | 1998 | 182 | |
| 3 | 1999 | 99 | |
| 4 | 2007 | 65 | |
| 5 | 1990 | 51 | |
| 6 | 2000 | 36 | |
| 7 | 1998 | 27 | |
| 8 | 1981 | 23 | |
| 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 764 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Fibroblast Growth Factor Research (2 papers), Epigenetics and DNA Methylation (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (254 citations), Urology (43 citations), Molecular Biology (446 citations), Immunology and Allergy (30 citations) and Oncology (124 citations). Jane Wong has collaborated with scholars based in United States, Singapore and New Zealand. Frequent co-authors include Andrew C. Chan, Jeffrey S. Rubin, Paul W. Finch, Dina Ron, Gerald R. Cunha, Gabriel Waksman, Klaus Fütterer, Richard A. Grucza, David R. Plas and Matthew L. Thomas. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Oncogene, Developmental Dynamics and Progress in Biophysics and 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.