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
- Toxin Mechanisms and Immunotoxins 1
- Phagocytosis and Immune Regulation 1
- Co-authors
- Mark J. Smyth (12 shared papers)Daniel M. Andrews (6 shared papers)Susan Gilfillan (3 shared papers)Marco Colonna (3 shared papers)Ludovic Martinet (1 shared paper)Fernando Souza-Fonseca-Guimarães (1 shared paper)Liam Town (1 shared paper)Melvyn T. Chow (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Nature Immunology (2 papers)Blood (2 papers)The Journal of Experimental Medicine (1 paper)Cancer Discovery (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Christopher J. Chan
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Immunology 995
- Oncology 457
- Hematology 64
- Virology 15
- Transplantation 8
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-authors
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 | 2014 | 369 | |
| 2 | 2008 | 266 | |
| 3 | 2009 | 157 | |
| 4 | 2010 | 94 | |
| 5 | 2012 | 85 | |
| 6 | 2012 | 52 | |
| 7 | 2012 | 45 | |
| 8 | 2013 | 41 | |
| 9 | 2013 | 39 | |
| 10 | 2008 | 26 | |
| 11 | 2012 | 3 | |
| 12 | 2016 | 1 |
About Christopher J. Chan
Christopher J. Chan is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Oncology, Hematology and Infectious Diseases, 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), Toxin Mechanisms and Immunotoxins (1 paper), Phagocytosis and Immune Regulation (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Immunology (995 citations), Oncology (457 citations), Hematology (64 citations), Virology (15 citations) and Transplantation (8 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, Susan Gilfillan, Marco Colonna, Ludovic Martinet, Fernando Souza-Fonseca-Guimarães, Liam Town, Melvyn T. Chow, Kent S. Boles and Aaron S. Rapaport. Their work appears in journals such as The Journal of Immunology, Nature Immunology, Blood, The Journal of Experimental Medicine and Cancer Discovery.
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.