Peter Scully
Impact in
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- Gold and Silver Nanoparticles Synthesis and Applications
- Biomedical Engineering top 10%
- Plasmonic and Surface Plasmon Research
- Biosensors and Analytical Detection
Papers in
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- Advanced biosensing and bioanalysis techniques 1
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- Patient-Provider Communication in Healthcare 1
- Co-authors
- Seunghyun Lee (1 shared paper)Kathryn M. Mayer (1 shared paper)Hongwei Liao (1 shared paper)Amaris Fuentes (1 shared paper)Colleen L. Nehl (1 shared paper)Jason H. Hafner (1 shared paper)Robert Stuart‐Smith (1 shared paper)Vijay Pawar (1 shared paper)
- Journals
- ACS Nano (1 paper)The Annals of Thoracic Surgery (1 paper)Journal of Surgical Research (1 paper)Science Robotics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Peter Scully
4 papers receiving 422 citations
Peers
Comparison fields: 5 of 65
- Electronic, Optical and Magnetic Materials 259
- Biomedical Engineering 277
- Health Informatics 6
- Molecular Biology 227
- Surfaces, Coatings and Films 15
Countries citing papers authored by Peter Scully
This map shows the geographic impact of Peter Scully'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 Scully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Scully more than expected).
Fields of papers citing papers by Peter Scully
This network shows the impact of papers produced by Peter Scully. 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 Scully. The network helps show where Peter Scully may publish in the future.
Co-authors
The 17 scholars most cited alongside Peter Scully, 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 | 2008 | 384 | |
| 2 | 2006 | 22 | |
| 3 | 2017 | 11 | |
| 4 | 2023 | 10 |
About Peter Scully
Peter Scully is a scholar working on Molecular Biology, General Health Professions, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (1 paper), Congenital Heart Disease Studies (1 paper), Modular Robots and Swarm Intelligence (1 paper), Ethics and Legal Issues in Pediatric Healthcare (1 paper), Patient-Provider Communication in Healthcare (1 paper), Robotic Path Planning Algorithms (1 paper), Gold and Silver Nanoparticles Synthesis and Applications (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (259 citations), Biomedical Engineering (277 citations), Health Informatics (6 citations), Molecular Biology (227 citations) and Surfaces, Coatings and Films (15 citations). Peter Scully has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Seunghyun Lee, Kathryn M. Mayer, Hongwei Liao, Amaris Fuentes, Colleen L. Nehl, Jason H. Hafner, Robert Stuart‐Smith, Vijay Pawar, Daniel Graves and E. Dean McKenzie. Their work appears in journals such as ACS Nano, The Annals of Thoracic Surgery, Journal of Surgical Research and Science Robotics.
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.