Sara Bonato

33 total papers · 1.2k total citations
23 papers, 575 citations indexed

About

Sara Bonato is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sara Bonato has authored 23 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Sara Bonato's work include Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Sara Bonato is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Sara Bonato collaborates with scholars based in Italy, United Kingdom and Greece. Sara Bonato's co-authors include Nereo Bresolin, Giacomo P. Comi, Maria Grazia D’Angelo, Dario Ronchi, Stefania Corti, Maurizio Moggio, Anna Carla Turconi, Alessio Di Fonzo, M. Romei and Luigi Piccinini and has published in prestigious journals such as Brain, Neurology and International Journal of Molecular Sciences.

In The Last Decade

Sara Bonato

23 papers receiving 569 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Bonato 357 120 79 73 65 23 575
Xiaole Li 175 0.5× 127 1.1× 53 0.7× 46 0.6× 45 0.7× 35 597
N Télerman-Toppet 352 1.0× 137 1.1× 109 1.4× 168 2.3× 52 0.8× 40 581
Misako Kaido 368 1.0× 105 0.9× 77 1.0× 43 0.6× 19 0.3× 31 498
Monica Neuber‐Hess 230 0.6× 180 1.5× 27 0.3× 23 0.3× 53 0.8× 17 547
Afshin Saffari 302 0.8× 110 0.9× 105 1.3× 42 0.6× 82 1.3× 29 676
Valentina Pegoraro 394 1.1× 91 0.8× 164 2.1× 43 0.6× 93 1.4× 25 620
Fred A. Ziter 282 0.8× 107 0.9× 124 1.6× 39 0.5× 70 1.1× 29 640
Gianni Guazzi 191 0.5× 106 0.9× 132 1.7× 31 0.4× 36 0.6× 24 617
P Soichot 276 0.8× 206 1.7× 158 2.0× 27 0.4× 75 1.2× 38 669
E. Farkas‐Bargeton 249 0.7× 211 1.8× 67 0.8× 47 0.6× 29 0.4× 36 522

Countries citing papers authored by Sara Bonato

Since Specialization
Citations

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

Fields of papers citing papers by Sara Bonato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Bonato

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

All Works

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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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