Mariasole Perrone

42 total papers · 2.5k total citations
34 papers, 1.9k citations indexed

About

Mariasole Perrone is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Mariasole Perrone has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Immunology. Recurrent topics in Mariasole Perrone's work include Mitochondrial Function and Pathology (9 papers), Autophagy in Disease and Therapy (9 papers) and Inflammasome and immune disorders (8 papers). Mariasole Perrone is often cited by papers focused on Mitochondrial Function and Pathology (9 papers), Autophagy in Disease and Therapy (9 papers) and Inflammasome and immune disorders (8 papers). Mariasole Perrone collaborates with scholars based in Italy, Poland and United States. Mariasole Perrone's co-authors include Carlotta Giorgi, Sonia Missiroli, Paolo Pinton, Mariusz R. Wiȩckowski, Ilaria Genovese, Simone Patergnani, Maurizio Previati, Veronica Angela Maria Vitto, Natascia Caroccia and Gaia Pedriali and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and International Journal of Molecular Sciences.

In The Last Decade

Mariasole Perrone

33 papers receiving 1.9k citations

Hit Papers

Mitochondria and Reactive... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Mariasole Perrone 1.2k 347 306 264 224 34 1.9k
Maurizio Previati 1.2k 1.0× 266 0.8× 283 0.9× 205 0.8× 205 0.9× 52 2.0k
Soumya Sinha Roy 1.4k 1.1× 289 0.8× 205 0.7× 230 0.9× 224 1.0× 31 2.0k
Joseph W. Gordon 1.1k 0.9× 373 1.1× 168 0.5× 347 1.3× 297 1.3× 52 1.8k
Takeshi Niki 1.3k 1.0× 264 0.8× 213 0.7× 473 1.8× 189 0.8× 35 2.8k
Zully Pedrozo 1.4k 1.2× 545 1.6× 429 1.4× 276 1.0× 185 0.8× 46 2.5k
Karthik Mallilankaraman 2.0k 1.6× 320 0.9× 241 0.8× 439 1.7× 196 0.9× 41 3.0k
Qiang Ma 1.2k 1.0× 430 1.2× 198 0.6× 322 1.2× 233 1.0× 60 2.4k
Xin Wang 1.4k 1.2× 204 0.6× 323 1.1× 232 0.9× 171 0.8× 47 2.3k
Olivier Le Bacquer 1.2k 1.0× 200 0.6× 222 0.7× 391 1.5× 187 0.8× 34 1.9k
Long N. Nguyen 1.2k 1.0× 236 0.7× 271 0.9× 457 1.7× 146 0.7× 38 2.3k

Countries citing papers authored by Mariasole Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Mariasole Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariasole Perrone

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