Serena Di Santo
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Immunology
- Physiology
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Miguel A. MuñozRaffaella BurioniFrancesco VioliPasquale PignatelliPablo VillegasRoberto CarnevaleLorenzo LoffredoSimona Bartimoccia
- Topics
- Neural dynamics and brain function (6 papers)stochastic dynamics and bifurcation (4 papers)Nonlinear Dynamics and Pattern Formation (3 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of the American College of Cardiology
- Partner nations
- ItalySpainUnited States
In The Last Decade
Serena Di Santo
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 118
- Cognitive Neuroscience 220
- Cardiology and Cardiovascular Medicine 185
- Immunology 159
- Physiology 147
- Statistical and Nonlinear Physics 142
Countries citing papers authored by Serena Di Santo
This map shows the geographic impact of Serena Di Santo'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 Serena Di Santo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Di Santo more than expected).
Fields of papers citing papers by Serena Di Santo
This network shows the impact of papers produced by Serena Di Santo. 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 Serena Di Santo. The network helps show where Serena Di Santo may publish in the future.
Co-authorship network of co-authors of Serena Di Santo
This figure shows the co-authorship network connecting the top 25 collaborators of Serena Di Santo. A scholar is included among the top collaborators of Serena Di Santo 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 Serena Di Santo. Serena Di Santo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 26 | |
| 5 | 111 | |
| 6 | 10 | |
| 7 | 35 | |
| 8 | 52 | |
| 9 | 11 | |
| 10 | 15 | |
| 11 | 43 | |
| 12 | 54 | |
| 13 | 98 | |
| 14 | 6 | |
| 15 | 56 | |
| 16 | 51 | |
| 17 | 15 | |
| 18 | 35 | |
| 19 | 58 | |
| 20 | 30 |
About Serena Di Santo
Serena Di Santo is a scholar working on Geriatrics and Gerontology, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), stochastic dynamics and bifurcation (4 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Biochemistry (81 citations), Statistical and Nonlinear Physics (142 citations) and Cognitive Neuroscience (220 citations). Serena Di Santo has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Miguel A. Muñoz, Raffaella Burioni, Francesco Violi, Pasquale Pignatelli, Pablo Villegas, Roberto Carnevale, Lorenzo Loffredo, Simona Bartimoccia, Giorgio Napolitano and Ines Bucci. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of the American College of Cardiology.
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.