Catherine Daly
Impact in
- Oncology top 5%
- Colorectal Cancer Treatments and Studies
- Cancer Treatment and Pharmacology
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- Genetic factors in colorectal cancer
Papers in
-
- Cancer Genomics and Diagnostics 7
- Co-authors
- Susan D. Richman (5 shared papers)Philip Quirke (5 shared papers)Michel Seymour (5 shared papers)Angela Meade (3 shared papers)Philip Chambers (3 shared papers)Faye Elliott (2 shared papers)Jennifer H. Barrett (2 shared papers)Graham R. Taylor (2 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)International Journal of Molecular Sciences (2 papers)Oncotarget (1 paper)Neoplasia (1 paper)British Journal of Anaesthesia (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Catherine Daly
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 110
- Oncology 795
- Pathology and Forensic Medicine 418
- Hepatology 158
- Cancer Research 268
- Pulmonary and Respiratory Medicine 267
Countries citing papers authored by Catherine Daly
This map shows the geographic impact of Catherine Daly'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 Catherine Daly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Daly more than expected).
Fields of papers citing papers by Catherine Daly
This network shows the impact of papers produced by Catherine Daly. 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 Catherine Daly. The network helps show where Catherine Daly may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Daly, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 456 | |
| 2 | 2008 | 217 | |
| 3 | 2009 | 99 | |
| 4 | 2010 | 83 | |
| 5 | 2011 | 67 | |
| 6 | 2011 | 63 | |
| 7 | 2017 | 34 | |
| 8 | 2015 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2015 | 24 | |
| 12 | 2015 | 24 | |
| 13 | 2020 | 23 | |
| 14 | 2021 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2012 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2011 | 12 | |
| 19 | 2019 | 9 | |
| 20 | 2002 | 6 |
About Catherine Daly
Catherine Daly is a scholar working on Molecular Biology, Cancer Research, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Opioid Use Disorder Treatment (5 papers), HIV, Drug Use, Sexual Risk (5 papers), Genetic factors in colorectal cancer (4 papers), Forensic Toxicology and Drug Analysis (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Oncology (795 citations), Pathology and Forensic Medicine (418 citations), Hepatology (158 citations), Cancer Research (268 citations) and Pulmonary and Respiratory Medicine (267 citations). Catherine Daly has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Susan D. Richman, Philip Quirke, Michel Seymour, Angela Meade, Philip Chambers, Faye Elliott, Jennifer H. Barrett, Graham R. Taylor, Mahesh Parmar and Julian Adlard. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences, Oncotarget, Neoplasia and British Journal of Anaesthesia.
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.