Dara Bracken‐Clarke
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 3
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- Radiomics and Machine Learning in Medical Imaging 3
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- Machine Learning in Healthcare 2
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- Cancer Immunotherapy and Biomarkers 6
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- Esophageal Cancer Research and Treatment 4
- Cholangiocarcinoma and Gallbladder Cancer Studies 2
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- Immune Cell Function and Interaction 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Charalampos S. FloudasStephen P. FinnAnne‐Marie BairdJames L. GulleyGiovanni Maria IannantuonoFatima KarzaiSinéad CuffeKathy Gately
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (4 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesIrelandItaly
In The Last Decade
Dara Bracken‐Clarke
16 papers receiving 344 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Health Informatics 93
- Cancer Research 64
- Radiology, Nuclear Medicine and Imaging 63
- Pulmonary and Respiratory Medicine 79
- Artificial Intelligence 73
Countries citing papers authored by Dara Bracken‐Clarke
This map shows the geographic impact of Dara Bracken‐Clarke'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 Dara Bracken‐Clarke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dara Bracken‐Clarke more than expected).
Fields of papers citing papers by Dara Bracken‐Clarke
This network shows the impact of papers produced by Dara Bracken‐Clarke. 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 Dara Bracken‐Clarke. The network helps show where Dara Bracken‐Clarke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dara Bracken‐Clarke, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | Matching patients to clinical trials with large language modelsbreakdown → | 2024 | 78 |
| 10 | 2024 | 0 | |
| 11 | 2023 | 67 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 79 | |
| 17 | 2021 | 60 | |
| 18 | 2018 | 12 | |
| 19 | 2018 | 5 |
About Dara Bracken‐Clarke
Dara Bracken‐Clarke is a scholar working on Health Informatics, Otorhinolaryngology and Oncology, having authored 19 papers that have together received 351 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Esophageal Cancer Research and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Machine Learning in Healthcare (2 papers), Immune Cell Function and Interaction (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Health Informatics (93 citations), Cancer Research (64 citations) and Radiology, Nuclear Medicine and Imaging (63 citations). Dara Bracken‐Clarke has collaborated with scholars based in United States, Ireland and Italy. Frequent co-authors include Charalampos S. Floudas, Stephen P. Finn, Anne‐Marie Baird, James L. Gulley, Giovanni Maria Iannantuono, Fatima Karzai, Sinéad Cuffe, Kathy Gately, Mario Roselli and Paul Buchanan. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Clinical 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.