Gordon Chan
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Molecular Biology top 5%
- Protein Tyrosine Phosphatases
- Protein Kinase Regulation and GTPase Signaling
- Angiogenesis and VEGF in Cancer
Papers in
-
- Protein Tyrosine Phosphatases 13
- Angiogenesis and VEGF in Cancer 1
- Sphingolipid Metabolism and Signaling 1
-
- Platelet Disorders and Treatments 1
- Hematopoietic Stem Cell Transplantation 1
- Co-authors
- Benjamin G. Neel (16 shared papers)Demetrios Kalaitzidis (3 shared papers)Mariano Barbacid (2 shared papers)Kerry Tedford (2 shared papers)Jeffery Lorne Kutok (4 shared papers)Golam Mohi (2 shared papers)Atsuo Ochi (1 shared paper)Takehiko Sasaki (1 shared paper)
- Journals
- Blood (8 papers)European Journal of Immunology (2 papers)Cancer Cell (2 papers)Nature Immunology (1 paper)Cancer and Metastasis Reviews (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Gordon Chan
21 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 45
- Immunology 261
- Molecular Biology 832
- Hematology 95
- Immunology and Allergy 30
- Genetics 45
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 388 | |
| 2 | 2008 | 337 | |
| 3 | 2005 | 234 | |
| 4 | 2001 | 150 | |
| 5 | 2009 | 102 | |
| 6 | 2009 | 100 | |
| 7 | 2004 | 94 | |
| 8 | 2011 | 82 | |
| 9 | 2010 | 60 | |
| 10 | 1995 | 58 | |
| 11 | 2001 | 45 | |
| 12 | 2013 | 37 | |
| 13 | 2014 | 33 | |
| 14 | 2017 | 33 | |
| 15 | 2010 | 24 | |
| 16 | 2016 | 11 | |
| 17 | 2014 | 9 | |
| 18 | 2007 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2016 | 2 |
About Gordon Chan
Gordon Chan is a scholar working on Molecular Biology, Hematology, Immunology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (13 papers), Angiogenesis and VEGF in Cancer (1 paper), T-cell and B-cell Immunology (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Platelet Disorders and Treatments (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Immunology (261 citations), Molecular Biology (832 citations), Hematology (95 citations), Immunology and Allergy (30 citations) and Genetics (45 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 Lorne Kutok, Golam Mohi, Atsuo Ochi, Takehiko Sasaki, Luc E. M. Marengère and Dennis Bouchard. Their work appears in journals such as Blood, European Journal of Immunology, Cancer Cell, Nature Immunology and Cancer and Metastasis Reviews.
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.