Colm Keane
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 5%
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Lymphoma Diagnosis and Treatment 61
- Oncology 53
- Cancer Immunotherapy and Biomarkers 29
- CAR-T cell therapy research 24
- Viral-associated cancers and disorders 11
- Co-authors
- Maher K. Gandhi (43 shared papers)Frank Vari (17 shared papers)Kimberley Jones (10 shared papers)Jamie P. Nourse (10 shared papers)Devinder Gill (13 shared papers)Joshua W.D. Tobin (20 shared papers)Pauline Crooks (13 shared papers)Dipti Talaulikar (14 shared papers)
- Journals
- Blood (24 papers)Journal of Clinical Oncology (8 papers)British Journal of Haematology (6 papers)Blood Advances (4 papers)Hematological Oncology (3 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Colm Keane
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Pathology and Forensic Medicine 572
- Oncology 731
- Immunology 521
- Genetics 170
- Cancer Research 188
Countries citing papers authored by Colm Keane
This map shows the geographic impact of Colm Keane'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 Colm Keane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colm Keane more than expected).
Fields of papers citing papers by Colm Keane
This network shows the impact of papers produced by Colm Keane. 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 Colm Keane. The network helps show where Colm Keane may publish in the future.
Co-authors
The 25 scholars most cited alongside Colm Keane, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 237 | |
| 2 | 2013 | 110 | |
| 3 | 2012 | 85 | |
| 4 | 2013 | 71 | |
| 5 | 2015 | 68 | |
| 6 | 2016 | 62 | |
| 7 | 2019 | 52 | |
| 8 | 2017 | 51 | |
| 9 | 2019 | 50 | |
| 10 | 2014 | 46 | |
| 11 | 2013 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2015 | 35 | |
| 14 | 2011 | 29 | |
| 15 | 2023 | 27 | |
| 16 | 2011 | 25 | |
| 17 | 2012 | 23 | |
| 18 | 2019 | 23 | |
| 19 | 2013 | 21 | |
| 20 | 2018 | 21 |
About Colm Keane
Colm Keane is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Neurology, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (61 papers), Cancer Immunotherapy and Biomarkers (29 papers), CAR-T cell therapy research (24 papers), Immune Cell Function and Interaction (13 papers), Chronic Lymphocytic Leukemia Research (12 papers), Viral-associated cancers and disorders (11 papers), CNS Lymphoma Diagnosis and Treatment (9 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (572 citations), Oncology (731 citations), Immunology (521 citations), Genetics (170 citations) and Cancer Research (188 citations). Colm Keane has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Maher K. Gandhi, Frank Vari, Kimberley Jones, Jamie P. Nourse, Devinder Gill, Joshua W.D. Tobin, Pauline Crooks, Dipti Talaulikar, Sanjiv Jain and Erica Han. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Blood Advances and Hematological Oncology.
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.