Daniela Scarabino

24 total papers · 493 total citations
20 papers, 363 citations indexed

About

Daniela Scarabino is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniela Scarabino has authored 20 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniela Scarabino's work include Telomeres, Telomerase, and Senescence (9 papers), Genetic Neurodegenerative Diseases (5 papers) and RNA and protein synthesis mechanisms (5 papers). Daniela Scarabino is often cited by papers focused on Telomeres, Telomerase, and Senescence (9 papers), Genetic Neurodegenerative Diseases (5 papers) and RNA and protein synthesis mechanisms (5 papers). Daniela Scarabino collaborates with scholars based in Italy, United Kingdom and United States. Daniela Scarabino's co-authors include Rosa Maria Corbo, Elisabetta Broggio, Giuseppe Gambina, Franca Pelliccia, Elide Mantuano, Glauco P. Tocchini‐Valentini, Rita Businaro, Liana Veneziano, Maria Annunziata Carluccio and Federico Cremisi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and The FASEB Journal.

In The Last Decade

Daniela Scarabino

20 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Scarabino 180 161 56 53 42 20 363
Paola Niola 150 0.8× 104 0.6× 37 0.7× 83 1.6× 31 0.7× 13 325
Diana Zukas Andreotti 121 0.7× 99 0.6× 27 0.5× 14 0.3× 57 1.4× 16 338
Veena Theendakara 156 0.9× 184 1.1× 12 0.2× 26 0.5× 48 1.1× 14 390
Julie A. Mattison 92 0.5× 145 0.9× 94 1.7× 11 0.2× 27 0.6× 13 372
Wen-An Wang 122 0.7× 133 0.8× 25 0.4× 26 0.5× 89 2.1× 17 320
Marisa Ferreira‐Marques 86 0.5× 74 0.5× 16 0.3× 19 0.4× 41 1.0× 16 354
Kevin L. Boehme 115 0.6× 176 1.1× 11 0.2× 72 1.4× 23 0.5× 12 382
Yasufumi Sakakibara 109 0.6× 141 0.9× 22 0.4× 42 0.8× 110 2.6× 22 378
Chloe Robins 228 1.3× 81 0.5× 12 0.2× 29 0.5× 22 0.5× 12 390
Francesco Ravaioli 239 1.3× 76 0.5× 30 0.5× 10 0.2× 11 0.3× 18 377

Countries citing papers authored by Daniela Scarabino

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Scarabino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Scarabino

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