John M. Kirkwood
- Oncology top 0.01%
- Cancer Immunotherapy and Biomarkers 213
- CAR-T cell therapy research 203
- Cutaneous Melanoma Detection and Management 196
- Immunology top 0.02%
- Immunotherapy and Immune Responses 261
- T-cell and B-cell Immunology 51
- Immune Cell Function and Interaction 46
- Immunology and Allergy top 0.2%
- Dermatology top 0.05%
- Molecular Biology top 0.1%
- Melanoma and MAPK Pathways 156
- vaccines and immunoinformatics approaches 45
- Co-authors
- Michael B. AtkinsVernon K. SondakSanjiv S. AgarwalaMarc S. ErnstoffAhmad A. TarhiniCharles M. BalchJohn F. ThompsonMerrick I. Ross
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
John M. Kirkwood
672 papers receiving 45.4k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Oncology 31.3k
- Immunology 18.8k
- Immunology and Allergy 1.6k
- Dermatology 2.3k
- Molecular Biology 17.9k
Countries citing papers authored by John M. Kirkwood
This map shows the geographic impact of John M. Kirkwood'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 John M. Kirkwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Kirkwood more than expected).
Fields of papers citing papers by John M. Kirkwood
This network shows the impact of papers produced by John M. Kirkwood. 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 John M. Kirkwood. The network helps show where John M. Kirkwood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John M. Kirkwood, 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 | 2023 | 7 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 8 | |
| 4 | 2019 | 13 | |
| 5 | 2017 | 35 | |
| 6 | 2015 | 31 | |
| 7 | 2015 | 141 | |
| 8 | 2014 | 31 | |
| 9 | 2014 | 85 | |
| 10 | 2013 | 175 | |
| 11 | 2013 | 7 | |
| 12 | 2013 | 90 | |
| 13 | 2011 | 100 | |
| 14 | 2011 | 62 | |
| 15 | 2011 | 291 | |
| 16 | 2010 | 287 | |
| 17 | Upregulation of Tim-3 and PD-1 expression is associated with tumor antigen–specific CD8+ T cell dysfunction in melanoma patientsbreakdown → | 2010 | 1032 |
| 18 | Final Version of 2009 AJCC Melanoma Staging and Classificationbreakdown → | 2009 | 3342 |
| 19 | 2009 | 129 | |
| 20 | 2006 | 38 |
About John M. Kirkwood
John M. Kirkwood is a scholar working on Oncology, Immunology and Molecular Biology, having authored 687 papers that have together received 46.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (261 papers), Cancer Immunotherapy and Biomarkers (213 papers), CAR-T cell therapy research (203 papers), Cutaneous Melanoma Detection and Management (196 papers), Melanoma and MAPK Pathways (156 papers), T-cell and B-cell Immunology (51 papers), Immune Cell Function and Interaction (46 papers) and vaccines and immunoinformatics approaches (45 papers). The work is most often cited by research in Oncology (31.3k citations), Immunology (18.8k citations) and Immunology and Allergy (1.6k citations). John M. Kirkwood has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Michael B. Atkins, Vernon K. Sondak, Sanjiv S. Agarwala, Marc S. Ernstoff, Ahmad A. Tarhini, Charles M. Balch, John F. Thompson, Merrick I. Ross, Jeffrey E. Gershenwald and Cindy Sander. Their work appears in journals such as Science, New England Journal of Medicine and Cell.
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.