Adrian Daly
Impact in
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- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Genetics top 1%
- Glioma Diagnosis and Treatment
Papers in
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- Pituitary Gland Disorders and Treatments 103
- Growth Hormone and Insulin-like Growth Factors 46
- Surgery 57
- Adrenal and Paraganglionic Tumors 53
- Co-authors
- Albert Beckers (131 shared papers)María A. Tichomirowa (16 shared papers)Christelle Adam‐Guillermin (1 shared paper)Antonio Ciccarelli (2 shared papers)Patrick Pétrossians (24 shared papers)Auli Karhu (4 shared papers)Lauri A. Aaltonen (2 shared papers)Marie‐Lise Jaffrain‐Rea (23 shared papers)
In The Last Decade
Adrian Daly
141 papers receiving 4.0k citations
Adrian Daly's Hit Papers
Peers
Comparison fields: 5 of 102
- Endocrinology, Diabetes and Metabolism 3.3k
- Genetics 754
- Surgery 1.8k
- Epidemiology 945
- Neurology 388
Countries citing papers authored by Adrian Daly
This map shows the geographic impact of Adrian 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 Adrian Daly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Daly more than expected).
Fields of papers citing papers by Adrian Daly
This network shows the impact of papers produced by Adrian 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 Adrian Daly. The network helps show where Adrian Daly may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High Prevalence of Pituitary Adenomas: A Cross-Sectional Study in the Province of Liege, Belgium Hit paper breakdown → | 2006 | 724 |
| 2 | 2013 | 214 | |
| 3 | 2005 | 195 | |
| 4 | 2020 | 164 | |
| 5 | 2012 | 134 | |
| 6 | 2005 | 123 | |
| 7 | 2009 | 117 | |
| 8 | 2007 | 111 | |
| 9 | 2007 | 97 | |
| 10 | 2004 | 82 | |
| 11 | 2008 | 81 | |
| 12 | 2004 | 75 | |
| 13 | 2005 | 72 | |
| 14 | 2019 | 70 | |
| 15 | 2007 | 66 | |
| 16 | 2010 | 60 | |
| 17 | 2016 | 47 | |
| 18 | 2015 | 46 | |
| 19 | 2011 | 46 | |
| 20 | 2009 | 46 |
About Adrian Daly
Adrian Daly is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Molecular Biology and Neurology, having authored 149 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (103 papers), Adrenal and Paraganglionic Tumors (53 papers), Growth Hormone and Insulin-like Growth Factors (46 papers), Neuroendocrine Tumor Research Advances (36 papers), Cancer, Hypoxia, and Metabolism (12 papers), Neuroblastoma Research and Treatments (10 papers), Glioma Diagnosis and Treatment (9 papers) and TGF-β signaling in diseases (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.3k citations), Genetics (754 citations), Surgery (1.8k citations), Epidemiology (945 citations) and Neurology (388 citations). Adrian Daly has collaborated with scholars based in Belgium, Italy and France. Frequent co-authors include Albert Beckers, María A. Tichomirowa, Christelle Adam‐Guillermin, Antonio Ciccarelli, Patrick Pétrossians, Auli Karhu, Lauri A. Aaltonen, Marie‐Lise Jaffrain‐Rea, Sabina Zacharieva and Laurent Vroonen. Their work appears in journals such as European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Endocrine Related Cancer, Pituitary and Hormone Research in Paediatrics.
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.