David J. Masiello
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- Gold and Silver Nanoparticles Synthesis and Applications 48
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications 8
- Biophysics top 1%
- Biomedical Engineering top 1%
- Plasmonic and Surface Plasmon Research 44
- Near-Field Optical Microscopy 9
- Materials Chemistry top 5%
- Quantum Dots Synthesis And Properties 17
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- Photonic and Optical Devices 10
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- Mechanical and Optical Resonators 7
- Strong Light-Matter Interactions 7
- Co-authors
- Jon P. CamdenGeorge C. SchatzJon A. DieringerRichard P. Van DuyneYingmin WangNicholas BigelowNiket ThakkarCharles Cherqui
- Journals
- Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (2 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
David J. Masiello
86 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Electronic, Optical and Magnetic Materials 1.9k
- Structural Biology 113
- Biophysics 296
- Biomedical Engineering 1.6k
- Materials Chemistry 1.1k
Countries citing papers authored by David J. Masiello
This map shows the geographic impact of David J. Masiello'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 David J. Masiello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Masiello more than expected).
Fields of papers citing papers by David J. Masiello
This network shows the impact of papers produced by David J. Masiello. 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 David J. Masiello. The network helps show where David J. Masiello may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. Masiello, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 18 | |
| 19 | 2019 | 22 | |
| 20 | 2018 | 15 |
About David J. Masiello
David J. Masiello is a scholar working on Structural Biology, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 87 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gold and Silver Nanoparticles Synthesis and Applications (48 papers), Plasmonic and Surface Plasmon Research (44 papers), Quantum Dots Synthesis And Properties (17 papers), Photonic and Optical Devices (10 papers), Near-Field Optical Microscopy (9 papers), Advanced Electron Microscopy Techniques and Applications (8 papers), Mechanical and Optical Resonators (7 papers) and Strong Light-Matter Interactions (7 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.9k citations), Structural Biology (113 citations) and Biophysics (296 citations). David J. Masiello has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Jon P. Camden, George C. Schatz, Jon A. Dieringer, Richard P. Van Duyne, Yingmin Wang, Nicholas Bigelow, Niket Thakkar, Charles Cherqui, Joseph H. Simmons and Steven C. Quillin. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.