S. Frattini
Impact in
- Nuclear and High Energy Physics top 10%
- Nuclear physics research studies
- Astronomical and nuclear sciences
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- Quantum chaos and dynamical systems
Papers in
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- Nuclear physics research studies 13
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- Advanced Chemical Physics Studies 6
- Quantum, superfluid, helium dynamics 3
- Atomic and Molecular Physics 3
- Co-authors
- Paola Crepaldi (14 shared papers)Andrea Talenti (9 shared papers)G. Pagnacco (9 shared papers)A. Bracco (15 shared papers)S. Leoni (15 shared papers)B. Herskind (15 shared papers)P. Bosetti (8 shared papers)Masayuki Matsuo (7 shared papers)
In The Last Decade
S. Frattini
36 papers receiving 300 citations
Peers
Comparison fields: 5 of 76
- Nuclear and High Energy Physics 95
- Statistical and Nonlinear Physics 57
- Genetics 110
- Agronomy and Crop Science 23
- Cancer Research 27
Countries citing papers authored by S. Frattini
This map shows the geographic impact of S. Frattini'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 S. Frattini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Frattini more than expected).
Fields of papers citing papers by S. Frattini
This network shows the impact of papers produced by S. Frattini. 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 S. Frattini. The network helps show where S. Frattini may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Frattini, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 32 | |
| 2 | 1997 | 26 | |
| 3 | 2017 | 22 | |
| 4 | 2021 | 21 | |
| 5 | 1996 | 19 | |
| 6 | 2017 | 17 | |
| 7 | 2016 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 1997 | 12 | |
| 11 | 1998 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 1999 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 1996 | 7 | |
| 17 | 1997 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2000 | 6 | |
| 20 | 2020 | 6 |
About S. Frattini
S. Frattini is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Genetics, Molecular Biology and Statistical and Nonlinear Physics, having authored 38 papers that have together received 305 indexed citations. Recurring topics across this work include Nuclear physics research studies (13 papers), Genetic and phenotypic traits in livestock (7 papers), Advanced Chemical Physics Studies (6 papers), Quantum chaos and dynamical systems (6 papers), Advanced NMR Techniques and Applications (3 papers), Quantum, superfluid, helium dynamics (3 papers), Atomic and Molecular Physics (3 papers) and Human-Animal Interaction Studies (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (95 citations), Statistical and Nonlinear Physics (57 citations), Genetics (110 citations), Agronomy and Crop Science (23 citations) and Cancer Research (27 citations). S. Frattini has collaborated with scholars based in Italy, Denmark and Japan. Frequent co-authors include Paola Crepaldi, Andrea Talenti, G. Pagnacco, A. Bracco, S. Leoni, B. Herskind, P. Bosetti, Masayuki Matsuo, T. Døssing and M. Polli. Their work appears in journals such as Nuclear Physics A, Animals, Veterinary Record Open, Physical Review Letters and BMC Genomics.
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.