Elisabetta Tasca

59 total papers · 1.1k total citations
23 papers, 755 citations indexed

About

Elisabetta Tasca is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Elisabetta Tasca has authored 23 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Elisabetta Tasca's work include Muscle Physiology and Disorders (10 papers), Genetic Neurodegenerative Diseases (7 papers) and Lipid metabolism and biosynthesis (4 papers). Elisabetta Tasca is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Genetic Neurodegenerative Diseases (7 papers) and Lipid metabolism and biosynthesis (4 papers). Elisabetta Tasca collaborates with scholars based in Italy, United States and Spain. Elisabetta Tasca's co-authors include C. Angelini, Francesco Mari, Anna Chiara Nascimbeni, Valentina Pegoraro, Antonio Merico, A. Nascimbeni, Elena Pegoraro, Joy Chakraborty, Marisa Brini and Marta Giacomello and has published in prestigious journals such as Neurology, Infection and Immunity and Proteins Structure Function and Bioinformatics.

In The Last Decade

Elisabetta Tasca

22 papers receiving 737 citations

Author Peers

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

Author Last Decade Papers Cites
Elisabetta Tasca 535 195 165 161 106 23 755
Roger B. Sher 436 0.8× 111 0.6× 104 0.6× 91 0.6× 212 2.0× 23 742
Arnaud Bocquet 316 0.6× 148 0.8× 116 0.7× 166 1.0× 202 1.9× 24 896
F. Dworzak 395 0.7× 82 0.4× 255 1.5× 199 1.2× 47 0.4× 25 777
E. Pennisi 319 0.6× 152 0.8× 174 1.1× 58 0.4× 150 1.4× 42 673
Valentina Pegoraro 394 0.7× 91 0.5× 102 0.6× 61 0.4× 164 1.5× 25 620
I. Butler 390 0.7× 221 1.1× 106 0.6× 45 0.3× 208 2.0× 34 855
Inge A. Meijer 368 0.7× 362 1.9× 155 0.9× 137 0.9× 128 1.2× 22 806
S. Di Mauro 619 1.2× 144 0.7× 95 0.6× 53 0.3× 92 0.9× 23 886
Karine Lascelles 292 0.5× 136 0.7× 34 0.2× 123 0.8× 140 1.3× 25 848
Françoise Piguet 473 0.9× 230 1.2× 141 0.9× 74 0.5× 56 0.5× 28 731

Countries citing papers authored by Elisabetta Tasca

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Tasca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Tasca

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