Alessandra D’Amico

159 total papers · 2.5k total citations
100 papers, 1.7k citations indexed

About

Alessandra D’Amico is a scholar working on Neurology, Molecular Biology and Surgery. According to data from OpenAlex, Alessandra D’Amico has authored 100 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 18 papers in Molecular Biology and 16 papers in Surgery. Recurrent topics in Alessandra D’Amico's work include Fetal and Pediatric Neurological Disorders (11 papers), Meningioma and schwannoma management (9 papers) and Cannabis and Cannabinoid Research (8 papers). Alessandra D’Amico is often cited by papers focused on Fetal and Pediatric Neurological Disorders (11 papers), Meningioma and schwannoma management (9 papers) and Cannabis and Cannabinoid Research (8 papers). Alessandra D’Amico collaborates with scholars based in Italy, United States and United Kingdom. Alessandra D’Amico's co-authors include Teresa Iuvone, Daniele De Filippis, Giuseppe Esposito, Angelo A. Izzo, Lorenzo Ugga, Vincenzo Di Marzo, Renato Cuocolo, Stefania Petrosino, Arturo Brunetti and Pierangelo Orlando and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

In The Last Decade

Alessandra D’Amico

95 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Alessandra D’Amico 412 356 215 209 207 100 1.7k
John T. Sullivan 296 0.7× 391 1.1× 295 1.4× 185 0.9× 220 1.1× 52 1.8k
Paul Juneau 288 0.7× 473 1.3× 110 0.5× 173 0.8× 235 1.1× 73 2.2k
Christoph Baerwald 222 0.5× 524 1.5× 202 0.9× 86 0.4× 120 0.6× 134 2.3k
Há Thi Nguyen 322 0.8× 671 1.9× 104 0.5× 210 1.0× 142 0.7× 68 2.1k
Yanwei Li 137 0.3× 539 1.5× 127 0.6× 149 0.7× 257 1.2× 107 2.0k
Marieke L. de Kam 265 0.6× 377 1.1× 104 0.5× 143 0.7× 138 0.7× 96 1.9k
Y Bureau 249 0.6× 167 0.5× 107 0.5× 168 0.8× 71 0.3× 85 1.3k
J. Mertin 260 0.6× 372 1.0× 220 1.0× 198 0.9× 58 0.3× 59 2.2k
Hirotsugu Miyake 116 0.3× 322 0.9× 122 0.6× 194 0.9× 98 0.5× 91 2.0k
Akihiro Yasuhara 141 0.3× 405 1.1× 430 2.0× 106 0.5× 149 0.7× 79 1.9k

Countries citing papers authored by Alessandra D’Amico

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra D’Amico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandra D’Amico. 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 Alessandra D’Amico. The network helps show where Alessandra D’Amico may publish in the future.

Co-authorship network of co-authors of Alessandra D’Amico

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra D’Amico. A scholar is included among the top collaborators of Alessandra D’Amico 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 Alessandra D’Amico. Alessandra D’Amico 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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2026