Simona Zappettini

18 total papers · 1.2k total citations
18 papers, 992 citations indexed

About

Simona Zappettini is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Simona Zappettini has authored 18 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Simona Zappettini's work include Neuroscience and Neuropharmacology Research (14 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Simona Zappettini is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Simona Zappettini collaborates with scholars based in Italy, United States and Czechia. Simona Zappettini's co-authors include Giambattista Bonanno, Luca Raiteri, Maurizio Raiteri, Marco Milanese, Laura Musazzi, Giorgio Racagni, Maurizio Popoli, Tiziana Bonifacino, Fabio Benfenati and Cesare Usai and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Cell Science.

In The Last Decade

Simona Zappettini

18 papers receiving 982 citations

Author Peers

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

Author Last Decade Papers Cites
Simona Zappettini 556 327 226 190 148 18 992
Laura M. Gault 429 0.8× 348 1.1× 114 0.5× 206 1.1× 174 1.2× 24 1.0k
Shuken Boku 273 0.5× 213 0.7× 216 1.0× 165 0.9× 84 0.6× 19 933
Martine M. Mirrione 684 1.2× 269 0.8× 132 0.6× 139 0.7× 114 0.8× 13 1.2k
Radmila Manev 422 0.8× 387 1.2× 175 0.8× 150 0.8× 175 1.2× 36 1.2k
Elena Dale 363 0.7× 293 0.9× 238 1.1× 133 0.7× 271 1.8× 21 1.1k
Margarita Arango-Lievano 366 0.7× 317 1.0× 140 0.6× 214 1.1× 76 0.5× 27 1.0k
Mercè Masana 407 0.7× 335 1.0× 134 0.6× 180 0.9× 130 0.9× 40 956
Theresa Young 410 0.7× 309 0.9× 142 0.6× 130 0.7× 128 0.9× 10 984
Mark William Lopes 431 0.8× 311 1.0× 231 1.0× 120 0.6× 105 0.7× 38 1.1k
Karin Agerman 649 1.2× 256 0.8× 149 0.7× 177 0.9× 116 0.8× 18 1.2k

Countries citing papers authored by Simona Zappettini

Since Specialization
Citations

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

Fields of papers citing papers by Simona Zappettini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simona Zappettini

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