James Monkman
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 21
- Cancer Immunotherapy and Biomarkers 13
- Cancer Cells and Metastasis 7
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- Single-cell and spatial transcriptomics 9
- Co-authors
- Arutha Kulasinghe (33 shared papers)Kenneth J. O’Byrne (22 shared papers)Rahul Ladwa (15 shared papers)Majid Ebrahimi Warkiani (9 shared papers)Habib Sadeghi Rad (2 shared papers)Nima Rezaei (2 shared papers)Erik W. Thompson (5 shared papers)Shivashankar H. Nagaraj (5 shared papers)
- Journals
- Cancers (3 papers)Frontiers in Immunology (3 papers)Clinical & Translational Immunology (3 papers)Journal of Translational Medicine (3 papers)Cancer Research (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
James Monkman
40 papers receiving 820 citations
Peers
Comparison fields: 5 of 83
- Oncology 310
- Cancer Research 155
- Immunology 173
- Infectious Diseases 81
- Biophysics 26
Countries citing papers authored by James Monkman
This map shows the geographic impact of James Monkman'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 James Monkman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Monkman more than expected).
Fields of papers citing papers by James Monkman
This network shows the impact of papers produced by James Monkman. 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 James Monkman. The network helps show where James Monkman may publish in the future.
Co-authors
The 25 scholars most cited alongside James Monkman, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 234 | |
| 2 | 2021 | 94 | |
| 3 | 2017 | 51 | |
| 4 | 2019 | 37 | |
| 5 | 2022 | 37 | |
| 6 | 2020 | 34 | |
| 7 | 2015 | 29 | |
| 8 | 2013 | 28 | |
| 9 | 2020 | 25 | |
| 10 | 2020 | 24 | |
| 11 | 2023 | 22 | |
| 12 | 2023 | 22 | |
| 13 | 2019 | 20 | |
| 14 | 2024 | 20 | |
| 15 | 2014 | 18 | |
| 16 | 2024 | 17 | |
| 17 | 2024 | 13 | |
| 18 | 2024 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2025 | 9 |
About James Monkman
James Monkman is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 827 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Single-cell and spatial transcriptomics (9 papers), Immune cells in cancer (9 papers), Cancer Genomics and Diagnostics (7 papers), Cancer Cells and Metastasis (7 papers), Immunotherapy and Immune Responses (6 papers), Ferroptosis and cancer prognosis (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Oncology (310 citations), Cancer Research (155 citations), Immunology (173 citations), Infectious Diseases (81 citations) and Biophysics (26 citations). James Monkman has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Arutha Kulasinghe, Kenneth J. O’Byrne, Rahul Ladwa, Majid Ebrahimi Warkiani, Habib Sadeghi Rad, Nima Rezaei, Erik W. Thompson, Shivashankar H. Nagaraj, Sugandha Bhatia and Mark N. Adams. Their work appears in journals such as Cancers, Frontiers in Immunology, Clinical & Translational Immunology, Journal of Translational Medicine and Cancer Research.
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.