Mark John 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
- IL-33, ST2, and ILC Pathways
- Oncology top 0.01%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 501
- Immune Cell Function and Interaction 371
- T-cell and B-cell Immunology 190
- Immunotherapy and Immune Responses 173
- Immune cells in cancer 37
- Oncology 290
- CAR-T cell therapy research 139
- Cancer Immunotherapy and Biomarkers 105
- Co-authors
- Robert D. Schreiber (13 shared papers)Michele W.L. Teng (93 shared papers)Joseph A. Trapani (76 shared papers)Lloyd J. Old (4 shared papers)Dale Ian Godfrey (62 shared papers)Yoshihiro Hayakawa (52 shared papers)Hideo Yagita∥ (47 shared papers)Kazuyoshi Takeda (50 shared papers)
- Journals
- The Journal of Immunology (77 papers)Cancer Research (38 papers)Immunology and Cell Biology (37 papers)OncoImmunology (36 papers)The Journal of Experimental Medicine (34 papers)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Mark John Smyth
655 papers receiving 97.7k citations
Mark John Smyth's Hit Papers
Peers
Comparison fields: 5 of 178
- Immunology 59.8k
- Oncology 41.7k
- Physiology 4.6k
- Cancer Research 6.5k
- Hematology 5.1k
Countries citing papers authored by Mark John Smyth
This map shows the geographic impact of Mark John 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 John 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 John Smyth more than expected).
Fields of papers citing papers by Mark John Smyth
This network shows the impact of papers produced by Mark John 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 John Smyth. The network helps show where Mark John Smyth may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark John 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 660 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 | 5124 |
| 2 | Natural Innate and Adaptive Immunity to Cancer Hit paper breakdown → | 2011 | 1696 |
| 3 | Activation of the NLRP3 inflammasome in dendritic cells induces IL-1β–dependent adaptive immunity against tumors Hit paper breakdown → | 2009 | 1658 |
| 4 | Cancer immunoediting and resistance to T cell-based immunotherapy Hit paper breakdown → | 2018 | 1399 |
| 5 | Classifying Cancers Based on T-cell Infiltration and PD-L1 Hit paper breakdown → | 2015 | 1223 |
| 6 | New insights into cancer immunoediting and its three component phases — elimination, equilibrium and escape Hit paper breakdown → | 2014 | 1189 |
| 7 | Immune surveillance of tumors Hit paper breakdown → | 2007 | 1167 |
| 8 | Adaptive immunity maintains occult cancer in an equilibrium state Hit paper breakdown → | 2007 | 1118 |
| 9 | Type I interferons in anticancer immunity Hit paper breakdown → | 2015 | 1076 |
| 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 | 1066 |
| 11 | Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting Hit paper breakdown → | 2012 | 1047 |
| 12 | Translational biology of osteosarcoma Hit paper breakdown → | 2014 | 1045 |
| 13 | NKT cells: what's in a name? Hit paper breakdown → | 2004 | 1019 |
| 14 | Functional significance of the perforin/granzyme cell death pathway Hit paper breakdown → | 2002 | 996 |
| 15 | Targeting natural killer cells in cancer immunotherapy Hit paper breakdown → | 2016 | 900 |
| 16 | Consensus guidelines for the definition, detection and interpretation of immunogenic cell death Hit paper breakdown → | 2020 | 897 |
| 17 | Cancer cell–autonomous contribution of type I interferon signaling to the efficacy of chemotherapy Hit paper breakdown → | 2014 | 888 |
| 18 | Combination cancer immunotherapies tailored to the tumour microenvironment Hit paper breakdown → | 2015 | 807 |
| 19 | 2008 | 745 | |
| 20 | Mechanism of Action of Conventional and Targeted Anticancer Therapies: Reinstating Immunosurveillance Hit paper breakdown → | 2013 | 743 |
About Mark John Smyth
Mark John Smyth is a scholar working on Immunology, Oncology, Hematology, Physiology and Molecular Biology, having authored 660 papers that have together received 99.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (371 papers), T-cell and B-cell Immunology (190 papers), Immunotherapy and Immune Responses (173 papers), CAR-T cell therapy research (139 papers), Cancer Immunotherapy and Biomarkers (105 papers), Cell death mechanisms and regulation (40 papers), Immune cells in cancer (37 papers) and Monoclonal and Polyclonal Antibodies Research (37 papers). The work is most often cited by research in Immunology (59.8k citations), Oncology (41.7k citations), Physiology (4.6k citations), Cancer Research (6.5k citations) and Hematology (5.1k citations). Mark John 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 Ian 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, OncoImmunology and The Journal of Experimental Medicine.
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.