Christopher J. Chan
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- IL-33, ST2, and ILC Pathways
- Reproductive System and Pregnancy
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 11
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 7
- Reproductive System and Pregnancy 3
- Immunotherapy and Immune Responses 2
- Phagocytosis and Immune Regulation 1
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
-
- Acute Myeloid Leukemia Research 1
- Co-authors
- Mark J. SmythDaniel M. AndrewsMarco ColonnaSusan GilfillanMelvyn T. ChowLudovic MartinetDavid RitchieFernando Souza-Fonseca-Guimarães
- Journals
- The Journal of Immunology (3 papers)Nature Immunology (2 papers)Blood (2 papers)Cancer Discovery (1 paper)Current Opinion in Immunology (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Christopher J. Chan
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Immunology 1.0k
- Oncology 482
- Hematology 69
- Transplantation 11
- Virology 15
Countries citing papers authored by Christopher J. Chan
This map shows the geographic impact of Christopher J. 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 Christopher J. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Chan more than expected).
Fields of papers citing papers by Christopher J. Chan
This network shows the impact of papers produced by Christopher J. 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 Christopher J. Chan. The network helps show where Christopher J. Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher J. 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 | 2016 | 1 | |
| 2 | 2014 | 365 | |
| 3 | 2013 | 39 | |
| 4 | 2013 | 40 | |
| 5 | 2012 | 52 | |
| 6 | 2012 | 84 | |
| 7 | 2012 | 45 | |
| 8 | 2012 | 3 | |
| 9 | 2010 | 93 | |
| 10 | 2009 | 156 | |
| 11 | 2008 | 25 | |
| 12 | 2008 | 263 |
About Christopher J. Chan
Christopher J. Chan is a scholar working on Immunology, Hematology, Oncology, Pathology and Forensic Medicine and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (7 papers), Reproductive System and Pregnancy (3 papers), Immunotherapy and Immune Responses (2 papers), Acute Myeloid Leukemia Research (1 paper), Viral-associated cancers and disorders (1 paper), Phagocytosis and Immune Regulation (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Immunology (1.0k citations), Oncology (482 citations), Hematology (69 citations), Transplantation (11 citations) and Virology (15 citations). Christopher J. Chan has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Mark J. Smyth, Daniel M. Andrews, Marco Colonna, Susan Gilfillan, Melvyn T. Chow, Ludovic Martinet, David Ritchie, Fernando Souza-Fonseca-Guimarães, Liam Town and Marina Cella. Their work appears in journals such as The Journal of Immunology, Nature Immunology, Blood, Cancer Discovery and Current Opinion in 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.