Michael D’Agati
Impact in
- Biomedical Engineering top 10%
- Graphene and Nanomaterials Applications
- Acoustic Wave Resonator Technologies
- Bone Tissue Engineering Materials
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- Nanoparticles: synthesis and applications
- Graphene research and applications
- Carbon and Quantum Dots Applications
- Ferroelectric and Piezoelectric Materials
Papers in
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- GaN-based semiconductor devices and materials 4
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- Acoustic Wave Resonator Technologies 7
- Graphene and Nanomaterials Applications 4
- Bone Tissue Engineering Materials 3
- Co-authors
- Balaji SitharamanGaurav LalwaniRoy H. OlssonZichen TangYi‐Xian QinStefan JudexRamakrishna VeturyJ.B. Shealy
- Journals
- Journal of Biomedical Materials Research Part A (3 papers)Journal of Biomechanics (1 paper)IEEE Sensors Journal (1 paper)Journal of Microelectromechanical Systems (1 paper)Sensors (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Michael D’Agati
14 papers receiving 438 citations
Peers
Comparison fields: 5 of 58
- Biomedical Engineering 377
- Materials Chemistry 265
- Biomaterials 52
- Condensed Matter Physics 36
- Mechanics of Materials 42
Countries citing papers authored by Michael D’Agati
This map shows the geographic impact of Michael D’Agati'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 Michael D’Agati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D’Agati more than expected).
Fields of papers citing papers by Michael D’Agati
This network shows the impact of papers produced by Michael D’Agati. 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 Michael D’Agati. The network helps show where Michael D’Agati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael D’Agati, 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 | 2023 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 5 | |
| 6 | 2020 | 40 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 40 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 220 | |
| 12 | 2016 | 15 | |
| 13 | 2015 | 47 | |
| 14 | 1993 | 3 |
About Michael D’Agati
Michael D’Agati is a scholar working on Condensed Matter Physics, Biomedical Engineering, Electronic, Optical and Magnetic Materials, Mechanics of Materials and Genetics, having authored 14 papers that have together received 444 indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (7 papers), Graphene and Nanomaterials Applications (4 papers), GaN-based semiconductor devices and materials (4 papers), Magnetic Field Sensors Techniques (4 papers), Bone Tissue Engineering Materials (3 papers), Metal and Thin Film Mechanics (3 papers), Multiferroics and related materials (3 papers) and Graphene research and applications (1 paper). The work is most often cited by research in Biomedical Engineering (377 citations), Materials Chemistry (265 citations), Biomaterials (52 citations), Condensed Matter Physics (36 citations) and Mechanics of Materials (42 citations). Michael D’Agati has collaborated with scholars based in United States and France. Frequent co-authors include Balaji Sitharaman, Gaurav Lalwani, Roy H. Olsson, Zichen Tang, Yi‐Xian Qin, Stefan Judex, Ramakrishna Vetury, J.B. Shealy, Craig Moe and Yahfi Talukdar. Their work appears in journals such as Journal of Biomedical Materials Research Part A, Journal of Biomechanics, IEEE Sensors Journal, Journal of Microelectromechanical Systems and Sensors.
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.