Paul A. Dayton
- Biomedical Engineering top 0.05%
- Ultrasound and Hyperthermia Applications 300
- Photoacoustic and Ultrasonic Imaging 249
- Microfluidic and Bio-sensing Technologies 19
- Innovative Microfluidic and Catalytic Techniques Innovation 14
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- Ultrasound Imaging and Elastography 153
- Advanced MRI Techniques and Applications 15
- Materials Chemistry top 0.5%
- Ultrasound and Cavitation Phenomena 93
- Biomaterials top 1%
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management 16
- Co-authors
- Katherine W. FerraraPaul S. SheeranTerry O. MatsunagaMark A. BordenJames E. ChomasJohn S. AllenRyan C. GessnerK.E. Morgan
- Journals
- Angewandte Chemie International Edition (1 paper)Circulation (1 paper)Nature Communications (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Paul A. Dayton
369 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Biomedical Engineering 12.1k
- Radiology, Nuclear Medicine and Imaging 5.1k
- Materials Chemistry 4.8k
- Biomaterials 934
- Internal Medicine 183
Countries citing papers authored by Paul A. Dayton
This map shows the geographic impact of Paul A. Dayton'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 Paul A. Dayton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul A. Dayton more than expected).
Fields of papers citing papers by Paul A. Dayton
This network shows the impact of papers produced by Paul A. Dayton. 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 Paul A. Dayton. The network helps show where Paul A. Dayton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul A. Dayton, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 53 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 31 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 57 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 24 | |
| 20 | 2015 | 51 |
About Paul A. Dayton
Paul A. Dayton is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Internal Medicine, having authored 382 papers that have together received 13.9k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (300 papers), Photoacoustic and Ultrasonic Imaging (249 papers), Ultrasound Imaging and Elastography (153 papers), Ultrasound and Cavitation Phenomena (93 papers), Microfluidic and Bio-sensing Technologies (19 papers), Venous Thromboembolism Diagnosis and Management (16 papers), Advanced MRI Techniques and Applications (15 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (14 papers). The work is most often cited by research in Biomedical Engineering (12.1k citations), Radiology, Nuclear Medicine and Imaging (5.1k citations) and Materials Chemistry (4.8k citations). Paul A. Dayton has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Katherine W. Ferrara, Paul S. Sheeran, Terry O. Matsunaga, Mark A. Borden, James E. Chomas, John S. Allen, Ryan C. Gessner, K.E. Morgan, Alexander L. Klibanov and Juan D. Rojas. Their work appears in journals such as Angewandte Chemie International Edition, Circulation and Nature Communications.
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.