Peter T. Daley‐Yates
- Physiology top 2%
- Asthma and respiratory diseases 45
- Immunology and Allergy top 2%
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- Inhalation and Respiratory Drug Delivery 33
- Respiratory and Cough-Related Research 17
- Oncology top 5%
- Bone health and treatments 7
- Behavioral Neuroscience top 10%
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- Analytical Methods in Pharmaceuticals 8
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- Antibiotics Pharmacokinetics and Efficacy 8
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- Chemotherapy-induced organ toxicity mitigation 7
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- Pharmaceutical studies and practices 6
- Co-authors
- D. C. H. McBrienAdrian PereiraNigel DallowDavid H. RichardsAshley WoodcockChristine FalcozRobert L. KunkaLarry Gifford
- Journals
- British Journal of Clinical Pharmacology (8 papers)Clinical Pharmacokinetics (6 papers)Advances in Therapy (5 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Peter T. Daley‐Yates
83 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 121
- Physiology 1.0k
- Immunology and Allergy 222
- Pulmonary and Respiratory Medicine 1.0k
- Oncology 514
- Behavioral Neuroscience 53
Countries citing papers authored by Peter T. Daley‐Yates
This map shows the geographic impact of Peter T. Daley‐Yates'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 Peter T. Daley‐Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Daley‐Yates more than expected).
Fields of papers citing papers by Peter T. Daley‐Yates
This network shows the impact of papers produced by Peter T. Daley‐Yates. 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 Peter T. Daley‐Yates. The network helps show where Peter T. Daley‐Yates may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter T. Daley‐Yates, 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 | 6 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 8 | |
| 5 | 2021 | 17 | |
| 6 | 2018 | 14 | |
| 7 | 2018 | 22 | |
| 8 | 2013 | 31 | |
| 9 | 2004 | 61 | |
| 10 | 2003 | 44 | |
| 11 | 2000 | 26 | |
| 12 | 2000 | 28 | |
| 13 | 2000 | 167 | |
| 14 | 1997 | 8 | |
| 15 | 1997 | 25 | |
| 16 | 1997 | 24 | |
| 17 | 1993 | 14 | |
| 18 | 1992 | 9 | |
| 19 | 1991 | 39 | |
| 20 | 1990 | 35 |
About Peter T. Daley‐Yates
Peter T. Daley‐Yates is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Behavioral Neuroscience, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (45 papers), Inhalation and Respiratory Drug Delivery (33 papers), Respiratory and Cough-Related Research (17 papers), Analytical Methods in Pharmaceuticals (8 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Chemotherapy-induced organ toxicity mitigation (7 papers), Bone health and treatments (7 papers) and Pharmaceutical studies and practices (6 papers). The work is most often cited by research in Physiology (1.0k citations), Immunology and Allergy (222 citations) and Pulmonary and Respiratory Medicine (1.0k citations). Peter T. Daley‐Yates has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include D. C. H. McBrien, Adrian Pereira, Nigel Dallow, David H. Richards, Ashley Woodcock, Christine Falcoz, Robert L. Kunka, Larry Gifford, Alan Bye and Martin Brutsche. Their work appears in journals such as British Journal of Clinical Pharmacology, Clinical Pharmacokinetics, Advances in Therapy, Biochemical Pharmacology and Clinical Therapeutics.
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.