Gordon Chan
Impact in
- Immunology top 2%
- Galectins and Cancer Biology
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Protein Tyrosine Phosphatases 8
- RNA modifications and cancer 4
- PI3K/AKT/mTOR signaling in cancer 3
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- Galectins and Cancer Biology 5
- T-cell and B-cell Immunology 3
- Co-authors
- Benjamin G. Neel (13 shared papers)Demetrios Kalaitzidis (3 shared papers)Mariano Barbacid (2 shared papers)Kerry Tedford (2 shared papers)Jeffery L. Kutok (4 shared papers)M. Golam Mohi (3 shared papers)Atsuo Ochi (1 shared paper)Luc E. M. Marengère (1 shared paper)
- Journals
- Blood (8 papers)Cancer Cell (2 papers)European Journal of Immunology (2 papers)Current Biology (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Gordon Chan
18 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 71
- Immunology 902
- Immunology and Allergy 142
- Toxicology 57
- Molecular Biology 1.1k
- Hematology 172
Countries citing papers authored by Gordon Chan
This map shows the geographic impact of Gordon Chan'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 Gordon Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon Chan more than expected).
Fields of papers citing papers by Gordon Chan
This network shows the impact of papers produced by Gordon Chan. 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 Gordon Chan. The network helps show where Gordon Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Gordon Chan, 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 | 1998 | 381 | |
| 2 | 2008 | 307 | |
| 3 | 2005 | 211 | |
| 4 | 2001 | 145 | |
| 5 | 2009 | 96 | |
| 6 | 2009 | 92 | |
| 7 | 2004 | 88 | |
| 8 | 2011 | 74 | |
| 9 | 2010 | 59 | |
| 10 | 1995 | 55 | |
| 11 | 2001 | 45 | |
| 12 | 2013 | 36 | |
| 13 | 2017 | 29 | |
| 14 | 2014 | 27 | |
| 15 | 2014 | 8 | |
| 16 | 2007 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2007 | 1 |
About Gordon Chan
Gordon Chan is a scholar working on Molecular Biology, Immunology, Genetics, Hematology and Oncology, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), Galectins and Cancer Biology (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), RNA modifications and cancer (4 papers), T-cell and B-cell Immunology (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Immunology (902 citations), Immunology and Allergy (142 citations), Toxicology (57 citations), Molecular Biology (1.1k citations) and Hematology (172 citations). Gordon Chan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Benjamin G. Neel, Demetrios Kalaitzidis, Mariano Barbacid, Kerry Tedford, Jeffery L. Kutok, M. Golam Mohi, Atsuo Ochi, Luc E. M. Marengère, I. Kozieradzki and Takehiko Sasaki. Their work appears in journals such as Blood, Cancer Cell, European Journal of Immunology, Current Biology and Nature Immunology.
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.