Fabio Socciarelli

50 total papers · 589 total citations
16 papers, 121 citations indexed

About

Fabio Socciarelli is a scholar working on Surgery, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Fabio Socciarelli has authored 16 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Fabio Socciarelli's work include AI in cancer detection (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Systemic Lupus Erythematosus Research (1 paper). Fabio Socciarelli is often cited by papers focused on AI in cancer detection (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Systemic Lupus Erythematosus Research (1 paper). Fabio Socciarelli collaborates with scholars based in Italy, United States and Sweden. Fabio Socciarelli's co-authors include Giovanni Ramacciato, Giovanni Guglielmo Laracca, Emanuela Pilozzi, Paolo Aurello, Giammauro Berardi, Gian Luca Rampioni Vinciguerra, Simone Maria Tierno, Antonella Stoppacciaro, Claudio Cacchi and Renata Risi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Nanotechnology and Cancer Research.

In The Last Decade

Fabio Socciarelli

14 papers receiving 120 citations

Author Peers

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

Author Last Decade Papers Cites
Fabio Socciarelli 37 35 30 27 15 16 121
Amy Xie 25 0.7× 29 0.8× 37 1.2× 23 0.9× 12 0.8× 13 128
Guochun Cao 31 0.8× 43 1.2× 59 2.0× 40 1.5× 10 0.7× 19 144
Angelique Levert‐Mignon 28 0.8× 73 2.1× 62 2.1× 37 1.4× 33 2.2× 14 176
Olga V. Sazonova 33 0.9× 34 1.0× 31 1.0× 24 0.9× 9 0.6× 15 141
Marie Karlíková 34 0.9× 44 1.3× 52 1.7× 46 1.7× 16 1.1× 21 231
Antonio García‐Escudero 78 2.1× 57 1.6× 69 2.3× 36 1.3× 23 1.5× 21 221
Macmahon He 37 1.0× 28 0.8× 41 1.4× 14 0.5× 7 0.5× 13 126
Hyung Lae Kim 41 1.1× 37 1.1× 65 2.2× 32 1.2× 9 0.6× 12 179
Anat Halevy 52 1.4× 59 1.7× 72 2.4× 27 1.0× 45 3.0× 16 218
Jeremy Klein 22 0.6× 28 0.8× 66 2.2× 14 0.5× 15 1.0× 12 231

Countries citing papers authored by Fabio Socciarelli

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Socciarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Socciarelli

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