Michela Lupo

33 total papers · 1.5k total citations
26 papers, 782 citations indexed

About

Michela Lupo is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michela Lupo has authored 26 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 11 papers in Cognitive Neuroscience and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michela Lupo's work include Vestibular and auditory disorders (17 papers), Genetic Neurodegenerative Diseases (8 papers) and Functional Brain Connectivity Studies (5 papers). Michela Lupo is often cited by papers focused on Vestibular and auditory disorders (17 papers), Genetic Neurodegenerative Diseases (8 papers) and Functional Brain Connectivity Studies (5 papers). Michela Lupo collaborates with scholars based in Italy and United Kingdom. Michela Lupo's co-authors include Maria Leggio, Silvia Clausi, Marco Molinari, Giusy Olivito, Libera Siciliano, Marco Bozzali, Francesca R. Chiricozzi, Anna Maria Tedesco, Marcella Masciullo and Mara Cercignani and has published in prestigious journals such as Brain, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Michela Lupo

26 papers receiving 775 citations

Author Peers

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

Author Last Decade Papers Cites
Michela Lupo 387 317 198 157 146 26 782
Giusy Olivito 420 1.1× 431 1.4× 205 1.0× 214 1.4× 169 1.2× 38 905
Michael Adamaszek 353 0.9× 372 1.2× 160 0.8× 100 0.6× 102 0.7× 31 877
Francesca R. Chiricozzi 407 1.1× 385 1.2× 207 1.0× 85 0.5× 229 1.6× 13 889
Georgios P. D. Argyropoulos 578 1.5× 372 1.2× 159 0.8× 82 0.5× 51 0.3× 20 864
Fulvia Palesi 284 0.7× 369 1.2× 106 0.5× 355 2.3× 131 0.9× 37 886
Hanne Baillieux 370 1.0× 250 0.8× 123 0.6× 133 0.8× 88 0.6× 12 777
Suzete Nascimento Farias da Guarda 300 0.8× 316 1.0× 125 0.6× 97 0.6× 47 0.3× 16 759
Stefanie Keulen 248 0.6× 467 1.5× 97 0.5× 94 0.6× 119 0.8× 25 887
Maedbh King 399 1.0× 444 1.4× 89 0.4× 190 1.2× 47 0.3× 18 765
M. Küper 257 0.7× 291 0.9× 80 0.4× 220 1.4× 72 0.5× 14 656

Countries citing papers authored by Michela Lupo

Since Specialization
Citations

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

Fields of papers citing papers by Michela Lupo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Lupo

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