Serena Bovetti

2.1k citations
33 papers · 1.5k · h-index 20

Impact in

Papers in

Serena Bovetti

33 papers receiving 1.4k citations

Peers

Serena Bovetti
Comparison fields: 5 of 92
  • Developmental Neuroscience 465
  • Cellular and Molecular Neuroscience 860
  • Sensory Systems 218
  • Neurology 270
  • Cognitive Neuroscience 425
Replace Cédric Bardy with:
Cédric Bardy Australia
J. Sebastian Espinosa United States
Akiya Watakabe Japan
Matthew T. Valley United States
Renata Batista‐Brito United States
James B. Ackman United States
Lee Cossell United Kingdom
Mia Wallace United States
Fengyi Liang Singapore
Euiseok J. Kim United States
Serena Bovetti relative to Cédric Bardy Australia Cédric Bardy's profile →
Citations per field
00.5×1.5×
Cédric Bardy · 1×
Citations per year

Countries citing papers authored by Serena Bovetti

Since Specialization
Citations

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

Fields of papers citing papers by Serena Bovetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Serena Bovetti, 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 Serena Bovetti Line = papers co-authored together Serena Bovetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007170
2 2013156
3 2007138
4 2017134
5 2015121
6 2018103
7 201890
8 200772
9 200453
10 200942
11 201740
12 201635
13 202034
14 200734
15 201434
16 201429
17 201124
18 201322
19 201621
20 200720

About Serena Bovetti

Serena Bovetti is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Sensory Systems, Neurology and Molecular Biology, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (18 papers), Olfactory and Sensory Function Studies (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Photoreceptor and optogenetics research (9 papers), Neural dynamics and brain function (8 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Developmental Neuroscience (465 citations), Cellular and Molecular Neuroscience (860 citations), Sensory Systems (218 citations), Neurology (270 citations) and Cognitive Neuroscience (425 citations). Serena Bovetti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Tommaso Fellin, Adam C. Puché, Silvia De Marchis, Patrizia Bovolin, Paolo Peretto, Isabelle Perroteau, Aldo Fasolo, Yi-Chun Hsieh, Claudio Moretti and Kazunori Toida. Their work appears in journals such as Journal of Neuroscience, European Journal of Neuroscience, International Journal of Molecular Sciences, eLife and The Journal of Comparative Neurology.

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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