Matteo Cantarelli

34 total papers · 770 total citations
11 papers, 231 citations indexed

About

Matteo Cantarelli is a scholar working on Cognitive Neuroscience, Aging and Biophysics. According to data from OpenAlex, Matteo Cantarelli has authored 11 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Aging and 5 papers in Biophysics. Recurrent topics in Matteo Cantarelli's work include Cell Image Analysis Techniques (5 papers), Neural dynamics and brain function (5 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Matteo Cantarelli is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Neural dynamics and brain function (5 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Matteo Cantarelli collaborates with scholars based in United Kingdom, United States and Brazil. Matteo Cantarelli's co-authors include Padraig Gleeson, Michael Currie, Stephen Larson, Andrey Palyanov, Jim Hokanson, Salvador Durá-Bernal, M.C. Vella, Balázs Szigeti, Adrián Quintana and Michael L. Hines and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, eLife and BMC Neuroscience.

In The Last Decade

Matteo Cantarelli

8 papers receiving 228 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Cantarelli 113 77 63 33 32 11 231
Alessandro Sanzeni 128 1.1× 105 1.4× 36 0.6× 8 0.2× 36 1.1× 10 208
Michael Currie 40 0.4× 29 0.4× 57 0.9× 22 0.7× 10 0.3× 14 225
Andrey Palyanov 49 0.4× 46 0.6× 91 1.4× 27 0.8× 12 0.4× 19 281
Mochi Liu 102 0.9× 117 1.5× 142 2.3× 53 1.6× 9 0.3× 8 320
Benjamin D. Pedigo 70 0.6× 84 1.1× 15 0.2× 24 0.7× 14 0.4× 9 196
Sara Ann Haddad 130 1.2× 181 2.4× 15 0.2× 9 0.3× 32 1.0× 7 317
Matthew S. Creamer 65 0.6× 165 2.1× 67 1.1× 13 0.4× 6 0.2× 14 298
Ana Correia 55 0.5× 79 1.0× 13 0.2× 19 0.6× 13 0.4× 6 174
Connor Brennan 69 0.6× 29 0.4× 12 0.2× 52 1.6× 12 0.4× 12 246
Bóris Marin 90 0.8× 60 0.8× 10 0.2× 55 1.7× 32 1.0× 19 176

Countries citing papers authored by Matteo Cantarelli

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Cantarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Cantarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Cantarelli. A scholar is included among the top collaborators of Matteo Cantarelli 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 Matteo Cantarelli. Matteo Cantarelli 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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