Silvana Geracitano

37 total papers · 540 total citations
18 papers, 229 citations indexed

About

Silvana Geracitano is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Silvana Geracitano has authored 18 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Silvana Geracitano's work include Alzheimer's disease research and treatments (6 papers), Epigenetics and DNA Methylation (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Silvana Geracitano is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Epigenetics and DNA Methylation (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Silvana Geracitano collaborates with scholars based in Italy, Saudi Arabia and Georgia. Silvana Geracitano's co-authors include Amalia C. Bruni, Giuseppe Passarino, Raffaele Maletta, Alberto Montesanto, Carmine Tomaino, Francesca Frangipane, Livia Bernardi, Maura Gallo, Rosanna Colao and Maria Anfossi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Silvana Geracitano

17 papers receiving 210 citations

Author Peers

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

Author Last Decade Papers Cites
Silvana Geracitano 110 103 50 37 29 18 229
Duc M. Duong 104 0.9× 71 0.7× 22 0.4× 48 1.3× 30 1.0× 15 230
Sydney Weber 97 0.9× 92 0.9× 35 0.7× 21 0.6× 40 1.4× 22 310
Makrina Daniilidou 122 1.1× 128 1.2× 13 0.3× 38 1.0× 29 1.0× 17 328
Nadia V. Harerimana 121 1.1× 76 0.7× 17 0.3× 66 1.8× 29 1.0× 9 236
Xiaoni Zhan 99 0.9× 43 0.4× 37 0.7× 27 0.7× 41 1.4× 22 248
Matthew De Both 93 0.8× 64 0.6× 50 1.0× 24 0.6× 43 1.5× 15 228
Merel O. Mol 116 1.1× 68 0.7× 61 1.2× 22 0.6× 32 1.1× 17 226
Vincent Huin 99 0.9× 70 0.7× 66 1.3× 29 0.8× 47 1.6× 19 228
Lesley Leong 186 1.7× 132 1.3× 22 0.4× 62 1.7× 33 1.1× 9 297
Maura Gallo 82 0.7× 103 1.0× 63 1.3× 28 0.8× 40 1.4× 13 174

Countries citing papers authored by Silvana Geracitano

Since Specialization
Citations

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

Fields of papers citing papers by Silvana Geracitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvana Geracitano

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