Ultan McDermott
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics 25
- Oncology top 0.2%
- Colorectal Cancer Treatments and Studies 10
- Cancer-related Molecular Pathways 8
- Molecular Biology top 0.5%
- Protein Degradation and Inhibitors 9
- CRISPR and Genetic Engineering 8
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations 17
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 11
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- Genetic factors in colorectal cancer 7
- Co-authors
- Michael R. StrattonMathew J. GarnettSridhar RamaswamyCyril H. BenesSimon ForbesNidhi BindalDaniel A. HaberPatricia Greninger
- Journals
- Cancer Research (16 papers)Clinical Cancer Research (5 papers)Nature Communications (5 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Ultan McDermott
93 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Cancer Research 3.6k
- Oncology 4.8k
- Molecular Biology 8.2k
- Pulmonary and Respiratory Medicine 3.9k
- Computational Theory and Mathematics 1.1k
Countries citing papers authored by Ultan McDermott
This map shows the geographic impact of Ultan McDermott'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 Ultan McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ultan McDermott more than expected).
Fields of papers citing papers by Ultan McDermott
This network shows the impact of papers produced by Ultan McDermott. 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 Ultan McDermott. The network helps show where Ultan McDermott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ultan McDermott, 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 | 5 | |
| 2 | 2022 | 6 | |
| 3 | 2020 | 22 | |
| 4 | 2019 | 4 | |
| 5 | 2018 | 16 | |
| 6 | 2018 | 38 | |
| 7 | 2017 | 32 | |
| 8 | 2015 | 18 | |
| 9 | 2015 | 62 | |
| 10 | Targeting MYCN in Neuroblastoma by BET Bromodomain Inhibitionbreakdown → | 2013 | 457 |
| 11 | 2012 | 54 | |
| 12 | Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cellsbreakdown → | 2012 | 2597 |
| 13 | 2011 | 11 | |
| 14 | 2010 | 129 | |
| 15 | 2010 | 64 | |
| 16 | 2009 | 83 | |
| 17 | 2009 | 30 | |
| 18 | Clinical Features and Outcome of Patients With Non–Small-Cell Lung Cancer Who Harbor EML4-ALKbreakdown → | 2009 | 1463 |
| 19 | 2008 | 405 | |
| 20 | 2008 | 312 |
About Ultan McDermott
Ultan McDermott is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 94 papers that have together received 13.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (25 papers), Lung Cancer Treatments and Mutations (17 papers), Computational Drug Discovery Methods (11 papers), Colorectal Cancer Treatments and Studies (10 papers), Protein Degradation and Inhibitors (9 papers), CRISPR and Genetic Engineering (8 papers), Cancer-related Molecular Pathways (8 papers) and Genetic factors in colorectal cancer (7 papers). The work is most often cited by research in Cancer Research (3.6k citations), Oncology (4.8k citations) and Molecular Biology (8.2k citations). Ultan McDermott has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Michael R. Stratton, Mathew J. Garnett, Sridhar Ramaswamy, Cyril H. Benes, Simon Forbes, Nidhi Bindal, Daniel A. Haber, Patricia Greninger, Jeffrey Settleman and Jeff Settleman. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Nature Communications, PLoS ONE and European 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.