Matteo D’Amore
Impact in
- Pharmaceutical Science top 1%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Food Science top 2%
- Microencapsulation and Drying Processes
Papers in
-
- 3D Printing in Biomedical Research 10
- Innovative Microfluidic and Catalytic Techniques Innovation 8
-
- Drug Solubulity and Delivery Systems 17
- Advanced Drug Delivery Systems 10
- Co-authors
- Anna Angela Barba (46 shared papers)Gaetano Lamberti (30 shared papers)Annalisa Dalmoro (20 shared papers)L. Massimilla (9 shared papers)Domenico Acierno (9 shared papers)G. Titomanlio (13 shared papers)A. Insola (7 shared papers)Roberto Andreozzi (7 shared papers)
- Journals
- AIChE Journal (7 papers)Powder Technology (6 papers)Combustion Science and Technology (5 papers)Carbohydrate Polymers (5 papers)Water Research (4 papers)
- Partner nations
- ItalyUnited StatesArgentina
In The Last Decade
Matteo D’Amore
94 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 153
- Pharmaceutical Science 342
- Food Science 516
- Molecular Medicine 125
- Water Science and Technology 238
- Computational Mechanics 302
Countries citing papers authored by Matteo D’Amore
This map shows the geographic impact of Matteo D’Amore'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 Matteo D’Amore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo D’Amore more than expected).
Fields of papers citing papers by Matteo D’Amore
This network shows the impact of papers produced by Matteo D’Amore. 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 Matteo D’Amore. The network helps show where Matteo D’Amore may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo D’Amore, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 233 | |
| 2 | 2016 | 137 | |
| 3 | 1983 | 102 | |
| 4 | 1992 | 83 | |
| 5 | 2012 | 80 | |
| 6 | 2012 | 68 | |
| 7 | 1985 | 67 | |
| 8 | 2006 | 62 | |
| 9 | 1994 | 54 | |
| 10 | 2003 | 52 | |
| 11 | 2009 | 46 | |
| 12 | 1991 | 44 | |
| 13 | 2008 | 43 | |
| 14 | 2009 | 42 | |
| 15 | 2010 | 41 | |
| 16 | 1992 | 40 | |
| 17 | 2017 | 40 | |
| 18 | 2012 | 39 | |
| 19 | 2013 | 37 | |
| 20 | 2001 | 36 |
About Matteo D’Amore
Matteo D’Amore is a scholar working on Biomedical Engineering, Pharmaceutical Science, Organic Chemistry, Food Science and Computational Mechanics, having authored 94 papers that have together received 2.3k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (17 papers), Advanced Drug Delivery Systems (10 papers), 3D Printing in Biomedical Research (10 papers), Microwave-Assisted Synthesis and Applications (8 papers), Granular flow and fluidized beds (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (8 papers), Microencapsulation and Drying Processes (7 papers) and Catalytic Processes in Materials Science (7 papers). The work is most often cited by research in Pharmaceutical Science (342 citations), Food Science (516 citations), Molecular Medicine (125 citations), Water Science and Technology (238 citations) and Computational Mechanics (302 citations). Matteo D’Amore has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Anna Angela Barba, Gaetano Lamberti, Annalisa Dalmoro, L. Massimilla, Domenico Acierno, G. Titomanlio, A. Insola, Roberto Andreozzi, V. Caprio and Rita Patrizia Aquino. Their work appears in journals such as AIChE Journal, Powder Technology, Combustion Science and Technology, Carbohydrate Polymers and Water Research.
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.