John M. Burke
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 50
- Geriatrics and Gerontology top 1%
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- Lymphoma Diagnosis and Treatment 76
- Oncology top 2%
- CAR-T cell therapy research 22
- Cancer Immunotherapy and Biomarkers 9
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- Monoclonal and Polyclonal Antibodies Research 27
- Radiopharmaceutical Chemistry and Applications 11
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- Lung Cancer Treatments and Mutations 12
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- Innovations in Medical Education 9
- Co-authors
- Kathryn S. KolibabaIan W. FlinnBrad S. KahlSamar IssaDavid MacDonaldDavid SimpsonPeter WoodTim E. Hawkins
- Journals
- Journal of Clinical Oncology (25 papers)SHILAP Revista de lepidopterología (3 papers)Blood (43 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
John M. Burke
166 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Genetics 672
- Geriatrics and Gerontology 236
- Pathology and Forensic Medicine 975
- Oncology 1.2k
- Applied Microbiology and Biotechnology 82
Countries citing papers authored by John M. Burke
This map shows the geographic impact of John M. Burke'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. Burke 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. Burke more than expected).
Fields of papers citing papers by John M. Burke
This network shows the impact of papers produced by John M. Burke. 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. Burke. The network helps show where John M. Burke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John M. Burke, 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 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 51 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 28 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 16 | |
| 14 | 2017 | 5 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 10 | |
| 17 | 2016 | 44 | |
| 18 | Randomized trial of bendamustine-rituximab or R-CHOP/R-CVP in first-line treatment of indolent NHL or MCL: the BRIGHT studybreakdown → | 2014 | 419 |
| 19 | Getting Physical: Excluding Personal Injury Awards under the New Section 104(a)(2) | 1997 | 0 |
| 20 | Annexation in Montana -- A Time for Change | 1974 | 1 |
About John M. Burke
John M. Burke is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology, having authored 177 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (76 papers), Chronic Lymphocytic Leukemia Research (50 papers), Monoclonal and Polyclonal Antibodies Research (27 papers), CAR-T cell therapy research (22 papers), Lung Cancer Treatments and Mutations (12 papers), Radiopharmaceutical Chemistry and Applications (11 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Innovations in Medical Education (9 papers). The work is most often cited by research in Genetics (672 citations), Geriatrics and Gerontology (236 citations) and Pathology and Forensic Medicine (975 citations). John M. Burke has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Kathryn S. Kolibaba, Ian W. Flinn, Brad S. Kahl, Samar Issa, David MacDonald, David Simpson, Peter Wood, Tim E. Hawkins, Richard van der Jagt and Doreen M. Hallman. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.