Darragh G. McArt
- Biophysics top 0.5%
- Oncology top 1%
- Colorectal Cancer Treatments and Studies 11
- HER2/EGFR in Cancer Research 6
- Cancer Immunotherapy and Biomarkers 6
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 11
- Cancer-related molecular mechanisms research 5
- Immunology top 2%
- Health Informatics top 5%
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- Genetic factors in colorectal cancer 9
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- Lung Cancer Treatments and Mutations 5
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- AI in cancer detection 5
- Co-authors
- Manuel Salto‐TellezPeter W. HamiltonJacqueline A. JamesPhilip D. DunnePeter BankheadStephen McQuaidMaurice B. LoughreyJosé A. Fernández
- Cited by
- BiophysicsOncologyCancer Research
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Darragh G. McArt
62 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Biophysics 438
- Oncology 1.8k
- Cancer Research 887
- Immunology 1.0k
- Health Informatics 42
Countries citing papers authored by Darragh G. McArt
This map shows the geographic impact of Darragh G. McArt'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 Darragh G. McArt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darragh G. McArt more than expected).
Fields of papers citing papers by Darragh G. McArt
This network shows the impact of papers produced by Darragh G. McArt. 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 Darragh G. McArt. The network helps show where Darragh G. McArt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Darragh G. McArt, 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 | 17 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 50 | |
| 4 | 2021 | 54 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 14 | |
| 7 | 2019 | 6 | |
| 8 | 2018 | 45 | |
| 9 | 2018 | 40 | |
| 10 | 2017 | 53 | |
| 11 | 2017 | 5 | |
| 12 | QuPath: Open source software for digital pathology image analysisbreakdown → | 2017 | 4552 |
| 13 | 2016 | 31 | |
| 14 | 2016 | 103 | |
| 15 | 2016 | 38 | |
| 16 | 2015 | 108 | |
| 17 | 2014 | 25 | |
| 18 | 2013 | 89 | |
| 19 | 2013 | 1 | |
| 20 | 2009 | 10 |
About Darragh G. McArt
Darragh G. McArt is a scholar working on Cancer Research, Oncology and Biophysics, having authored 64 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Colorectal Cancer Treatments and Studies (11 papers), Genetic factors in colorectal cancer (9 papers), HER2/EGFR in Cancer Research (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cancer-related molecular mechanisms research (5 papers), Lung Cancer Treatments and Mutations (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Biophysics (438 citations), Oncology (1.8k citations) and Cancer Research (887 citations). Darragh G. McArt has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Manuel Salto‐Tellez, Peter W. Hamilton, Jacqueline A. James, Philip D. Dunne, Peter Bankhead, Stephen McQuaid, Maurice B. Loughrey, José A. Fernández, Helen G. Coleman and Ronan T. Gray. Their work appears in journals such as The Lancet, Nature Communications and Journal of Clinical 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.