Angelo Rosa

59 papers receiving 1.9k citations

Peers

Angelo Rosa
Comparison fields: 5 of 96
  • Fluid Flow and Transfer Processes 243
  • Polymers and Plastics 234
  • Condensed Matter Physics 188
  • Molecular Biology 914
  • Statistical and Nonlinear Physics 146
Replace M. L. Gardel with:
M. L. Gardel United States
Helmut Schießel Netherlands
Jeff Z. Y. Chen Canada
Ou-Yang Zhong-can China
Jens Gläser United States
Lorenzo Rovigatti Italy
Davide Michieletto United Kingdom
Kaifu Luo China
Falko Ziebert Germany
Arnaud Buhot France
Angelo Rosa relative to M. L. Gardel United States M. L. Gardel's profile →
Citations per field
00.5×2×3×3.9×
M. L. Gardel · 1×
Citations per year

Countries citing papers authored by Angelo Rosa

Since Specialization
Citations

This map shows the geographic impact of Angelo Rosa'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 Angelo Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Rosa more than expected).

Fields of papers citing papers by Angelo Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo Rosa. 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 Angelo Rosa. The network helps show where Angelo Rosa may publish in the future.

Co-authors

The 25 scholars most cited alongside Angelo Rosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Angelo Rosa Line = papers co-authored together Angelo Rosa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008386
2 2014159
3 2005112
4 201290
5 201083
6 201974
7 201762
8 200358
9 201757
10 202452
11 201551
12 201450
13 200349
14 201047
15 201142
16 201342
17 200540
18 200236
19 200333
20 200128

About Angelo Rosa

Angelo Rosa is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Fluid Flow and Transfer Processes, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Material Dynamics and Properties (15 papers), RNA Research and Splicing (11 papers), Force Microscopy Techniques and Applications (11 papers), Theoretical and Computational Physics (10 papers), RNA and protein synthesis mechanisms (8 papers), Rheology and Fluid Dynamics Studies (6 papers) and Nanopore and Nanochannel Transport Studies (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (243 citations), Polymers and Plastics (234 citations), Condensed Matter Physics (188 citations), Molecular Biology (914 citations) and Statistical and Nonlinear Physics (146 citations). Angelo Rosa has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Ralf Everaers, Cristian Micheletti, Nils B. Becker, Amos Maritan, Davide Marenduzzo, Jan Smrek, Massimiliano Di Ventra, Paolo Grigolini, Kurt Kremer and Flavio Seno. Their work appears in journals such as The Journal of Chemical Physics, Macromolecules, Physical Review Letters, The European Physical Journal E and Soft Matter.

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.

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