Mario Miscuglio
Impact in
- Biomedical Engineering top 2%
- 3D Printing in Biomedical Research
- Plasmonic and Surface Plasmon Research
- Artificial Intelligence top 2%
- Neural Networks and Reservoir Computing
Papers in
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- Neural Networks and Reservoir Computing 22
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- Photonic and Optical Devices 16
- Nanomaterials and Printing Technologies 3
- Co-authors
- Volker J. Sorger (56 shared papers)Ali Khademhosseini (5 shared papers)Rubab Amin (15 shared papers)Hamed Dalir (21 shared papers)Su Ryon Shin (4 shared papers)Jonathan George (9 shared papers)Mehmet R. Dokmeci (4 shared papers)Nasim Annabi (2 shared papers)
- Journals
- Nanophotonics (6 papers)Scientific Reports (4 papers)ACS Photonics (3 papers)ACS Nano (3 papers)APL Materials (2 papers)
- Partner nations
- United StatesItalySaudi Arabia
In The Last Decade
Mario Miscuglio
86 papers receiving 3.6k citations
Mario Miscuglio's Hit Papers
Peers
Comparison fields: 5 of 63
- Biomedical Engineering 736
- Artificial Intelligence 685
- Molecular Medicine 97
- Electronic, Optical and Magnetic Materials 231
- Materials Chemistry 379
Countries citing papers authored by Mario Miscuglio
This map shows the geographic impact of Mario Miscuglio'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 Mario Miscuglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Miscuglio more than expected).
Fields of papers citing papers by Mario Miscuglio
This network shows the impact of papers produced by Mario Miscuglio. 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 Mario Miscuglio. The network helps show where Mario Miscuglio may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Miscuglio, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A liver-on-a-chip platform with bioprinted hepatic spheroids Hit paper breakdown → | 2016 | 530 |
| 2 | 2020 | 276 | |
| 3 | 2015 | 244 | |
| 4 | 2018 | 177 | |
| 5 | 2015 | 162 | |
| 6 | 2020 | 155 | |
| 7 | 2020 | 149 | |
| 8 | 2020 | 135 | |
| 9 | 2019 | 132 | |
| 10 | 2021 | 132 | |
| 11 | 2019 | 124 | |
| 12 | 2020 | 100 | |
| 13 | 2017 | 96 | |
| 14 | 2017 | 91 | |
| 15 | 2020 | 68 | |
| 16 | 2023 | 64 | |
| 17 | 2014 | 59 | |
| 18 | 2020 | 59 | |
| 19 | 2021 | 59 | |
| 20 | 2019 | 55 |
About Mario Miscuglio
Mario Miscuglio is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry and Biomedical Engineering, having authored 86 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (22 papers), Photonic and Optical Devices (16 papers), Electromagnetic wave absorption materials (4 papers), Plasmonic and Surface Plasmon Research (3 papers), Nanomaterials and Printing Technologies (3 papers), Phase-change materials and chalcogenides (3 papers), Metamaterials and Metasurfaces Applications (2 papers) and Orbital Angular Momentum in Optics (2 papers). The work is most often cited by research in Biomedical Engineering (736 citations), Artificial Intelligence (685 citations), Molecular Medicine (97 citations), Electronic, Optical and Magnetic Materials (231 citations) and Materials Chemistry (379 citations). Mario Miscuglio has collaborated with scholars based in United States, Italy and Saudi Arabia. Frequent co-authors include Volker J. Sorger, Ali Khademhosseini, Rubab Amin, Hamed Dalir, Su Ryon Shin, Jonathan George, Mehmet R. Dokmeci, Nasim Annabi, Ali Tamayol and Rishi Maiti. Their work appears in journals such as Nanophotonics, Scientific Reports, ACS Photonics, ACS Nano and APL Materials.
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.