Gianfranco Puccio

44 total papers · 905 total citations
21 papers, 353 citations indexed

About

Gianfranco Puccio is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Gianfranco Puccio has authored 21 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 10 papers in Neurology and 9 papers in Molecular Biology. Recurrent topics in Gianfranco Puccio's work include Alzheimer's disease research and treatments (11 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Prion Diseases and Protein Misfolding (5 papers). Gianfranco Puccio is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Prion Diseases and Protein Misfolding (5 papers). Gianfranco Puccio collaborates with scholars based in Italy, Canada and France. Gianfranco Puccio's co-authors include Amalia C. Bruni, Rosanna Colao, Raffaele Maletta, Nicoletta Smirne, Sabrina A.M. Curcio, Francesca Frangipane, Livia Bernardi, Maria Mirabelli, Maria Anfossi and Carmine Tomaino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurobiology of Aging and Journal of Alzheimer s Disease.

In The Last Decade

Gianfranco Puccio

19 papers receiving 322 citations

Author Peers

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

Author Last Decade Papers Cites
Gianfranco Puccio 191 125 114 81 72 21 353
Nicoletta Smirne 159 0.8× 119 1.0× 93 0.8× 77 1.0× 56 0.8× 20 317
Katie Peppercorn 203 1.1× 124 1.0× 78 0.7× 67 0.8× 75 1.0× 22 404
Tamao Tsukie 220 1.2× 183 1.5× 63 0.6× 51 0.6× 45 0.6× 18 371
Yung‐Shuan Lin 103 0.5× 69 0.6× 97 0.9× 81 1.0× 41 0.6× 24 331
Sabrina A.M. Curcio 167 0.9× 162 1.3× 129 1.1× 72 0.9× 67 0.9× 16 348
Agathe Vrillon 214 1.1× 79 0.6× 108 0.9× 138 1.7× 63 0.9× 32 396
Elena Camporesi 188 1.0× 97 0.8× 35 0.3× 85 1.0× 45 0.6× 17 327
María José Sainz 211 1.1× 98 0.8× 138 1.2× 117 1.4× 63 0.9× 19 337
Antoinette O’Connor 183 1.0× 95 0.8× 50 0.4× 119 1.5× 55 0.8× 27 369
Eleni Gkanatsiou 251 1.3× 118 0.9× 55 0.5× 77 1.0× 68 0.9× 19 350

Countries citing papers authored by Gianfranco Puccio

Since Specialization
Citations

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

Fields of papers citing papers by Gianfranco Puccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianfranco Puccio

This figure shows the co-authorship network connecting the top 25 collaborators of Gianfranco Puccio. A scholar is included among the top collaborators of Gianfranco Puccio 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 Gianfranco Puccio. Gianfranco Puccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026