Alfredo Cappariello

45 total papers · 1.6k total citations
30 papers, 1.1k citations indexed

About

Alfredo Cappariello is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Alfredo Cappariello has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Alfredo Cappariello's work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (10 papers) and Bone Metabolism and Diseases (8 papers). Alfredo Cappariello is often cited by papers focused on Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (10 papers) and Bone Metabolism and Diseases (8 papers). Alfredo Cappariello collaborates with scholars based in Italy, India and Belgium. Alfredo Cappariello's co-authors include Anna Teti, Nadia Rucci, Andrea Del Fattore, Antonio Maurizi, Vimal Veeriah, Maurizio Muraca, Mattia Capulli, Barbara Peruzzi, Marco Ponzetti and Fabrizio De Benedetti and has published in prestigious journals such as Nature Communications, Biomaterials and International Journal of Molecular Sciences.

In The Last Decade

Alfredo Cappariello

30 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Alfredo Cappariello 834 360 302 165 128 30 1.1k
Neil Alles 840 1.0× 458 1.3× 208 0.7× 205 1.2× 126 1.0× 29 1.2k
Lingling Xian 798 1.0× 423 1.2× 269 0.9× 187 1.1× 122 1.0× 31 1.5k
Sheila Rydziel 949 1.1× 394 1.1× 252 0.8× 154 0.9× 99 0.8× 35 1.4k
Nisreen Akel 796 1.0× 587 1.6× 210 0.7× 166 1.0× 128 1.0× 31 1.4k
H. Herschel Conaway 821 1.0× 446 1.2× 151 0.5× 236 1.4× 195 1.5× 33 1.3k
Tiina Laitala‐Leinonen 852 1.0× 354 1.0× 258 0.9× 148 0.9× 50 0.4× 36 1.2k
Sandrine Théoleyre 899 1.1× 762 2.1× 329 1.1× 202 1.2× 165 1.3× 25 1.4k
Yoshiteru Miyauchi 586 0.7× 312 0.9× 184 0.6× 135 0.8× 165 1.3× 23 923
Yoshiaki Kariya 652 0.8× 314 0.9× 140 0.5× 165 1.0× 71 0.6× 33 1.1k
Ximeng Liu 590 0.7× 200 0.6× 305 1.0× 81 0.5× 116 0.9× 21 1.1k

Countries citing papers authored by Alfredo Cappariello

Since Specialization
Citations

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

Fields of papers citing papers by Alfredo Cappariello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfredo Cappariello

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