Maccon Keane
- Cancer Research top 2%
- Breast Cancer Treatment Studies 19
- NF-κB Signaling Pathways 7
- Oncology top 2%
- Cancer Treatment and Pharmacology 10
- HER2/EGFR in Cancer Research 8
- Immunology top 5%
- Internal Medicine top 5%
- Molecular Biology top 5%
- Cell death mechanisms and regulation 9
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- Advanced Breast Cancer Therapies 8
- Lung Cancer Treatments and Mutations 6
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- Breast Lesions and Carcinomas 6
- Co-authors
- Seth A. EttenbergMarion M. NauStan LipkowitzE K RussellStanley LipkowitzMauricio CuelloDevalingam MahalingamAfshin Samali
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Journal of Clinical Oncology (11 papers)Breast Cancer Research and Treatment (6 papers)Cancer Research (5 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Maccon Keane
71 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 926
- Oncology 1.5k
- Immunology 630
- Internal Medicine 107
- Molecular Biology 1.9k
Countries citing papers authored by Maccon Keane
This map shows the geographic impact of Maccon 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 Maccon Keane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maccon Keane more than expected).
Fields of papers citing papers by Maccon Keane
This network shows the impact of papers produced by Maccon 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 Maccon Keane. The network helps show where Maccon Keane may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maccon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2021 | 6 | |
| 3 | 2021 | 21 | |
| 4 | 2019 | 22 | |
| 5 | 2018 | 17 | |
| 6 | 2017 | 106 | |
| 7 | 2017 | 6 | |
| 8 | 2016 | 44 | |
| 9 | 2014 | 202 | |
| 10 | 2013 | 2 | |
| 11 | 2013 | 2 | |
| 12 | 2013 | 15 | |
| 13 | 2010 | 37 | |
| 14 | 2010 | 168 | |
| 15 | 2009 | 35 | |
| 16 | 2008 | 230 | |
| 17 | Decoy-insensitive TRAIL variants kill tumour cells more efficiently without damaging non-transformed cells | 2007 | 1 |
| 18 | 2000 | 87 | |
| 19 | 1999 | 103 | |
| 20 | 1994 | 21 |
About Maccon Keane
Maccon Keane is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 3.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (19 papers), Cancer Treatment and Pharmacology (10 papers), Cell death mechanisms and regulation (9 papers), HER2/EGFR in Cancer Research (8 papers), Advanced Breast Cancer Therapies (8 papers), NF-κB Signaling Pathways (7 papers), Breast Lesions and Carcinomas (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Cancer Research (926 citations), Oncology (1.5k citations) and Immunology (630 citations). Maccon Keane has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Seth A. Ettenberg, Marion M. Nau, Stan Lipkowitz, E K Russell, Stanley Lipkowitz, Mauricio Cuello, Devalingam Mahalingam, Afshin Samali, Éva Szegezdi and Steven de Jong. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer Research and Treatment, Cancer Research, European Journal of Cancer and British Journal of Cancer.
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.