Timothy M. Doyle
Impact in
- Physiology top 1%
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
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- Neuropeptides and Animal Physiology
Papers in
- Physiology 35
- Pain Mechanisms and Treatments 35
- Adenosine and Purinergic Signaling 10
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- Sphingolipid Metabolism and Signaling 12
- Pharmacological Receptor Mechanisms and Effects 11
- Co-authors
- Daniela Salvemini (11 shared papers)Joshua W. Little (14 shared papers)William L. Neumann (10 shared papers)Daniela Salvemini (27 shared papers)Daniela Salvemini (4 shared papers)Zhoumou Chen (20 shared papers)Salvatore Cuzzocrea (16 shared papers)Emanuela Esposito (13 shared papers)
- Journals
- Pain (8 papers)Journal of Pain (5 papers)Journal of Neuroscience (4 papers)Journal of Pharmacology and Experimental Therapeutics (3 papers)The FASEB Journal (2 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Timothy M. Doyle
52 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 105
- Physiology 292
- Physiology 1.1k
- Cellular and Molecular Neuroscience 445
- Pharmacology 203
- Oncology 490
Countries citing papers authored by Timothy M. Doyle
This map shows the geographic impact of Timothy M. Doyle'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 Timothy M. Doyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy M. Doyle more than expected).
Fields of papers citing papers by Timothy M. Doyle
This network shows the impact of papers produced by Timothy M. Doyle. 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 Timothy M. Doyle. The network helps show where Timothy M. Doyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothy M. Doyle, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 258 | |
| 2 | 2014 | 147 | |
| 3 | 2012 | 145 | |
| 4 | 2014 | 128 | |
| 5 | 2014 | 123 | |
| 6 | 2014 | 119 | |
| 7 | 2013 | 113 | |
| 8 | 2018 | 108 | |
| 9 | 2019 | 97 | |
| 10 | 2014 | 91 | |
| 11 | 2005 | 81 | |
| 12 | 2018 | 78 | |
| 13 | 2021 | 76 | |
| 14 | 2015 | 66 | |
| 15 | 2010 | 65 | |
| 16 | 2017 | 62 | |
| 17 | 2020 | 60 | |
| 18 | 2013 | 56 | |
| 19 | 2009 | 53 | |
| 20 | 2020 | 39 |
About Timothy M. Doyle
Timothy M. Doyle is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Oncology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (35 papers), Sphingolipid Metabolism and Signaling (12 papers), Pharmacological Receptor Mechanisms and Effects (11 papers), Adenosine and Purinergic Signaling (10 papers), Neuropeptides and Animal Physiology (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Cancer Treatment and Pharmacology (5 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Physiology (292 citations), Physiology (1.1k citations), Cellular and Molecular Neuroscience (445 citations), Pharmacology (203 citations) and Oncology (490 citations). Timothy M. Doyle has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Daniela Salvemini, Joshua W. Little, William L. Neumann, Daniela Salvemini, Daniela Salvemini, Zhoumou Chen, Salvatore Cuzzocrea, Emanuela Esposito, Kali Janes and Gary J. Bennett. Their work appears in journals such as Pain, Journal of Pain, Journal of Neuroscience, Journal of Pharmacology and Experimental Therapeutics and The FASEB Journal.
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.