Francesco S. Pasqualini
- Biomedical Engineering top 2%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Kevin Kit ParkerEleonora GrandiDonald M. BersPatrick CampbellHongyan YuanAlexander P. NesmithSean P. SheehyJohan Lind
- Topics
- Tissue Engineering and Regenerative Medicine (10 papers)Pluripotent Stem Cells Research (8 papers)3D Printing in Biomedical Research (6 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Francesco S. Pasqualini
29 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Biomedical Engineering 1.1k
- Molecular Biology 871
- Cardiology and Cardiovascular Medicine 738
- Surgery 639
- Cellular and Molecular Neuroscience 454
Countries citing papers authored by Francesco S. Pasqualini
This map shows the geographic impact of Francesco S. Pasqualini'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 Francesco S. Pasqualini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco S. Pasqualini more than expected).
Fields of papers citing papers by Francesco S. Pasqualini
This network shows the impact of papers produced by Francesco S. Pasqualini. 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 Francesco S. Pasqualini. The network helps show where Francesco S. Pasqualini may publish in the future.
Co-authorship network of co-authors of Francesco S. Pasqualini
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco S. Pasqualini. A scholar is included among the top collaborators of Francesco S. Pasqualini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco S. Pasqualini. Francesco S. Pasqualini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 160 | |
| 6 | 53 | |
| 7 | 96 | |
| 8 | 83 | |
| 9 | 33 | |
| 10 | Instrumented cardiac microphysiological devices via multimaterial three-dimensional printingbreakdown → | 659 |
| 11 | 26 | |
| 12 | 27 | |
| 13 | 4 | |
| 14 | 59 | |
| 15 | 73 | |
| 16 | 81 | |
| 17 | 57 | |
| 18 | 108 | |
| 19 | 330 | |
| 20 | 43 |
About Francesco S. Pasqualini
Francesco S. Pasqualini is a scholar working on Cell Biology, Cardiology and Cardiovascular Medicine and Biomaterials, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (10 papers), Pluripotent Stem Cells Research (8 papers) and 3D Printing in Biomedical Research (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (738 citations), Biomaterials (360 citations) and Biomedical Engineering (1.1k citations). Francesco S. Pasqualini has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Kevin Kit Parker, Eleonora Grandi, Donald M. Bers, Patrick Campbell, Hongyan Yuan, Alexander P. Nesmith, Sean P. Sheehy, Johan Lind, Moran Yadid and Joost J. Vlassak. Their work appears in journals such as Circulation, Nature Materials and The Journal of Cell Biology.
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.