Sara Perotto

419 total citations
9 papers, 321 citations indexed

About

Sara Perotto is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Sara Perotto has authored 9 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 5 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Sara Perotto's work include Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (3 papers) and Conducting polymers and applications (2 papers). Sara Perotto is often cited by papers focused on Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (3 papers) and Conducting polymers and applications (2 papers). Sara Perotto collaborates with scholars based in Italy, Israel and Singapore. Sara Perotto's co-authors include Francesco De Angelis, Gabriele C. Messina, Manuela Oliverio, Laura Lovato, Angelo Bozzola, Guglielmo Lanzani, Caterina Michetti, José Fernando Maya‐Vetencourt, Grazia Pertile and Riccardo Sacco and has published in prestigious journals such as Nature Communications, ACS Applied Materials & Interfaces and The Journal of Physical Chemistry C.

In The Last Decade

Sara Perotto

9 papers receiving 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Perotto Italy 7 177 130 115 58 56 9 321
Jaebin Choi South Korea 12 138 0.8× 79 0.6× 122 1.1× 19 0.3× 29 0.5× 17 299
Hyerin Song South Korea 12 267 1.5× 137 1.1× 111 1.0× 86 1.5× 23 0.4× 28 422
Cristina Polonschii Romania 12 229 1.3× 230 1.8× 103 0.9× 19 0.3× 40 0.7× 30 401
Chun L. Yeung United Kingdom 8 156 0.9× 122 0.9× 116 1.0× 12 0.2× 53 0.9× 9 342
Byeonghwa Lim South Korea 13 375 2.1× 141 1.1× 228 2.0× 40 0.7× 78 1.4× 37 562
Markus Kastner Austria 10 158 0.9× 155 1.2× 187 1.6× 26 0.4× 58 1.0× 18 422
Aoxiang Xiao China 12 215 1.2× 134 1.0× 168 1.5× 54 0.9× 29 0.5× 19 371
Hongmiao Ji Singapore 12 287 1.6× 99 0.8× 141 1.2× 35 0.6× 16 0.3× 22 392
Werner Hickel Germany 11 169 1.0× 138 1.1× 159 1.4× 71 1.2× 102 1.8× 18 365
Ahmet C. Sabuncu United States 13 345 1.9× 72 0.6× 135 1.2× 26 0.4× 12 0.2× 34 489

Countries citing papers authored by Sara Perotto

Since Specialization
Citations

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

Fields of papers citing papers by Sara Perotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Perotto

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Perotto. A scholar is included among the top collaborators of Sara Perotto 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 Sara Perotto. Sara Perotto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Vurro, Vito, et al.. (2023). Skeletal muscle cells opto-stimulation by intramembrane molecular transducers. Communications Biology. 6(1). 1148–1148. 7 indexed citations
2.
Zangoli, Mattia, Andrea Cantelli, Andrea Candini, et al.. (2023). Photoreactivity of Thiophene-Based Core@Shell Nanoparticles: The Effect of Photoinduced Charge Separation on In Vivo ROS Production. The Journal of Physical Chemistry C. 127(9). 4672–4683. 10 indexed citations
3.
Barsotti, Jonathan, Sara Perotto, Andrea Candini, et al.. (2023). Core–Shell Architecture in Poly(3-hexylthiophene) Nanoparticles: Tuning of the Photophysical Properties for Enhanced Neuronal Photostimulation. ACS Applied Materials & Interfaces. 15(10). 13472–13483. 6 indexed citations
4.
Bisio, Francesco, M. Magnozzi, Sara Perotto, et al.. (2023). Tamm Plasmon Resonance as Optical Fingerprint of Silver/Bacteria Interaction. ACS Applied Materials & Interfaces. 15(23). 27750–27758. 11 indexed citations
5.
Perotto, Sara, Hua Huang, Samim Sardar, et al.. (2022). Resonant Enhancement of Polymer–Cell Optostimulation by a Plasmonic Metasurface. ACS Omega. 7(47). 42674–42680. 3 indexed citations
6.
Shmal, Dmytro, Stefano Di Marco, José Fernando Maya‐Vetencourt, et al.. (2022). Light-induced charge generation in polymeric nanoparticles restores vision in advanced-stage retinitis pigmentosa rats. Nature Communications. 13(1). 3677–3677. 53 indexed citations
7.
Perotto, Sara, et al.. (2020). Toward all on chip optical detection in the few molecule regime. Biosensors and Bioelectronics. 169. 112600–112600. 4 indexed citations
8.
Bozzola, Angelo, Sara Perotto, & Francesco De Angelis. (2017). Hybrid plasmonic–photonic whispering gallery mode resonators for sensing: a critical review. The Analyst. 142(6). 883–898. 78 indexed citations
9.
Oliverio, Manuela, Sara Perotto, Gabriele C. Messina, Laura Lovato, & Francesco De Angelis. (2017). Chemical Functionalization of Plasmonic Surface Biosensors: A Tutorial Review on Issues, Strategies, and Costs. ACS Applied Materials & Interfaces. 9(35). 29394–29411. 149 indexed citations

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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