Mark J. Smyth
Impact in
- Immunology top 0.01%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 0.01%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 452
- Immune Cell Function and Interaction 339
- T-cell and B-cell Immunology 173
- Immunotherapy and Immune Responses 162
- Immune Response and Inflammation 27
- Oncology 265
- CAR-T cell therapy research 126
- Cancer Immunotherapy and Biomarkers 88
- Co-authors
- Robert D. Schreiber (15 shared papers)Michele W.L. Teng (87 shared papers)Joseph A. Trapani (76 shared papers)Lloyd J. Old (4 shared papers)Dale I. Godfrey (61 shared papers)Yoshihiro Hayakawa (53 shared papers)Hideo Yagita∥ (47 shared papers)Kazuyoshi Takeda (50 shared papers)
- Journals
- The Journal of Immunology (77 papers)Cancer Research (42 papers)Immunology and Cell Biology (34 papers)The Journal of Experimental Medicine (32 papers)OncoImmunology (31 papers)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Mark J. Smyth
589 papers receiving 80.5k citations
Mark J. Smyth's Hit Papers
Peers
Comparison fields: 5 of 170
- Immunology 52.9k
- Oncology 37.6k
- Physiology 3.8k
- Cancer Research 6.5k
- Hematology 4.6k
Countries citing papers authored by Mark J. Smyth
This map shows the geographic impact of Mark J. Smyth'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 Mark J. Smyth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Smyth more than expected).
Fields of papers citing papers by Mark J. Smyth
This network shows the impact of papers produced by Mark J. Smyth. 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 Mark J. Smyth. The network helps show where Mark J. Smyth may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark J. Smyth, 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 595 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion Hit paper breakdown → | 2011 | 4619 |
| 2 | Natural Innate and Adaptive Immunity to Cancer Hit paper breakdown → | 2011 | 1547 |
| 3 | Cancer immunoediting and resistance to T cell-based immunotherapy Hit paper breakdown → | 2018 | 1258 |
| 4 | Classifying Cancers Based on T-cell Infiltration and PD-L1 Hit paper breakdown → | 2015 | 1138 |
| 5 | New insights into cancer immunoediting and its three component phases — elimination, equilibrium and escape Hit paper breakdown → | 2014 | 1078 |
| 6 | Immune surveillance of tumors Hit paper breakdown → | 2007 | 1058 |
| 7 | Adaptive immunity maintains occult cancer in an equilibrium state Hit paper breakdown → | 2007 | 1024 |
| 8 | Translational biology of osteosarcoma Hit paper breakdown → | 2014 | 978 |
| 9 | Type I interferons in anticancer immunity Hit paper breakdown → | 2015 | 964 |
| 10 | Tumor infiltrating lymphocytes are prognostic in triple negative breast cancer and predictive for trastuzumab benefit in early breast cancer: results from the FinHER trial Hit paper breakdown → | 2014 | 956 |
| 11 | NKT cells: what's in a name? Hit paper breakdown → | 2004 | 955 |
| 12 | Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting Hit paper breakdown → | 2012 | 932 |
| 13 | Functional significance of the perforin/granzyme cell death pathway Hit paper breakdown → | 2002 | 929 |
| 14 | Targeting natural killer cells in cancer immunotherapy Hit paper breakdown → | 2016 | 832 |
| 15 | Combination cancer immunotherapies tailored to the tumour microenvironment Hit paper breakdown → | 2015 | 738 |
| 16 | The TRAIL apoptotic pathway in cancer onset, progression and therapy Hit paper breakdown → | 2008 | 712 |
| 17 | NKT cells: facts, functions and fallacies Hit paper breakdown → | 2000 | 704 |
| 18 | Mechanism of Action of Conventional and Targeted Anticancer Therapies: Reinstating Immunosurveillance Hit paper breakdown → | 2013 | 681 |
| 19 | IL-12 and IL-23 cytokines: from discovery to targeted therapies for immune-mediated inflammatory diseases Hit paper breakdown → | 2015 | 639 |
| 20 | Clinical relevance of host immunity in breast cancer: from TILs to the clinic Hit paper breakdown → | 2015 | 638 |
About Mark J. Smyth
Mark J. Smyth is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Epidemiology, having authored 595 papers that have together received 81.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (339 papers), T-cell and B-cell Immunology (173 papers), Immunotherapy and Immune Responses (162 papers), CAR-T cell therapy research (126 papers), Cancer Immunotherapy and Biomarkers (88 papers), Cell death mechanisms and regulation (40 papers), Monoclonal and Polyclonal Antibodies Research (34 papers) and Immune Response and Inflammation (27 papers). The work is most often cited by research in Immunology (52.9k citations), Oncology (37.6k citations), Physiology (3.8k citations), Cancer Research (6.5k citations) and Hematology (4.6k citations). Mark J. Smyth has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Robert D. Schreiber, Michele W.L. Teng, Joseph A. Trapani, Lloyd J. Old, Dale I. Godfrey, Yoshihiro Hayakawa, Hideo Yagita∥, Kazuyoshi Takeda, Shin Foong Ngiow and Jeremy B. Swann. Their work appears in journals such as The Journal of Immunology, Cancer Research, Immunology and Cell Biology, The Journal of Experimental Medicine and OncoImmunology.
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.