Massimo Alberti
Impact in
- Pharmaceutical Science top 5%
- Advancements in Transdermal Drug Delivery
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
Papers in
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- Microfluidic and Bio-sensing Technologies 3
- 3D Printing in Biomedical Research 3
- Microfluidic and Capillary Electrophoresis Applications 2
- Innovative Microfluidic and Catalytic Techniques Innovation 2
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- Neuroscience and Neural Engineering 2
- Co-authors
- Ruige Wu (3 shared papers)Gopu Sriram (3 shared papers)Yuri Dancik (2 shared papers)Mei Bigliardi‐Qi (2 shared papers)Paul Bigliardi (2 shared papers)Bo Wu (2 shared papers)Srinivas Ramasamy (1 shared paper)Zhiping Wang (1 shared paper)
In The Last Decade
Massimo Alberti
7 papers receiving 341 citations
Peers
Comparison fields: 5 of 70
- Pharmaceutical Science 57
- Biomedical Engineering 258
- Dermatology 33
- Biophysics 18
- Cellular and Molecular Neuroscience 45
Countries citing papers authored by Massimo Alberti
This map shows the geographic impact of Massimo Alberti'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 Massimo Alberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Alberti more than expected).
Fields of papers citing papers by Massimo Alberti
This network shows the impact of papers produced by Massimo Alberti. 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 Massimo Alberti. The network helps show where Massimo Alberti may publish in the future.
Co-authors
The 22 scholars most cited alongside Massimo Alberti, 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 | 2017 | 198 | |
| 2 | 2017 | 57 | |
| 3 | 2023 | 39 | |
| 4 | 2013 | 23 | |
| 5 | 2011 | 15 | |
| 6 | 2010 | 7 | |
| 7 | 2013 | 4 |
About Massimo Alberti
Massimo Alberti is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Dermatology, Urology and Pharmaceutical Science, having authored 7 papers that have together received 343 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (3 papers), 3D Printing in Biomedical Research (3 papers), Neuroscience and Neural Engineering (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Skin Protection and Aging (1 paper), Cell Image Analysis Techniques (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Pharmaceutical Science (57 citations), Biomedical Engineering (258 citations), Dermatology (33 citations), Biophysics (18 citations) and Cellular and Molecular Neuroscience (45 citations). Massimo Alberti has collaborated with scholars based in Denmark, Singapore and Slovakia. Frequent co-authors include Ruige Wu, Gopu Sriram, Yuri Dancik, Mei Bigliardi‐Qi, Paul Bigliardi, Bo Wu, Srinivas Ramasamy, Zhiping Wang, Martin Dufva and Z. P. Wang. Their work appears in journals such as Lab on a Chip, Microfluidics and Nanofluidics, Advanced Healthcare Materials, SLAS TECHNOLOGY and Materials Today.
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.