Marco Pisanello

92 total papers · 1.5k total citations
44 papers, 957 citations indexed

About

Marco Pisanello is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Marco Pisanello has authored 44 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 20 papers in Biomedical Engineering and 9 papers in Cognitive Neuroscience. Recurrent topics in Marco Pisanello's work include Photoreceptor and optogenetics research (28 papers), Neuroscience and Neural Engineering (24 papers) and Molecular Communication and Nanonetworks (12 papers). Marco Pisanello is often cited by papers focused on Photoreceptor and optogenetics research (28 papers), Neuroscience and Neural Engineering (24 papers) and Molecular Communication and Nanonetworks (12 papers). Marco Pisanello collaborates with scholars based in Italy, United States and Spain. Marco Pisanello's co-authors include Massimo De Vittorio, Ferruccio Pisanello, Leonardo Sileo, Bernardo L. Sabatini, Barbara Spagnolo, Filippo Pisano, Antonio Balena, Ian Antón Oldenburg, John A. Assad and Emanuela Maglie and has published in prestigious journals such as Advanced Materials, Neuron and Nature Materials.

In The Last Decade

Marco Pisanello

40 papers receiving 932 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Pisanello 588 397 242 152 111 44 957
Leonardo Sileo 590 1.0× 407 1.0× 234 1.0× 108 0.7× 143 1.3× 37 894
Rodney P. O’Connor 444 0.8× 414 1.0× 133 0.5× 161 1.1× 188 1.7× 60 1.2k
Michael M. Kohl 541 0.9× 169 0.4× 499 2.1× 142 0.9× 35 0.3× 33 1.2k
Adrián Rodríguez‐Contreras 379 0.6× 255 0.6× 262 1.1× 108 0.7× 117 1.1× 35 1.1k
Attila Kaszás 677 1.2× 283 0.7× 402 1.7× 222 1.5× 189 1.7× 31 1.1k
Yanhui Hu 212 0.4× 304 0.8× 136 0.6× 253 1.7× 151 1.4× 49 1.0k
Ilker Ozden 718 1.2× 241 0.6× 483 2.0× 45 0.3× 211 1.9× 29 1.2k
Volodymyr Nikolenko 535 0.9× 158 0.4× 252 1.0× 279 1.8× 70 0.6× 14 829
Ryosuke Kawakami 283 0.5× 268 0.7× 207 0.9× 320 2.1× 84 0.8× 40 1.1k
Toshihiko Noda 600 1.0× 481 1.2× 175 0.7× 177 1.2× 630 5.7× 169 1.2k

Countries citing papers authored by Marco Pisanello

Since Specialization
Citations

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

Fields of papers citing papers by Marco Pisanello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Pisanello

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