Pasquale D’Acunzo

26 total papers · 1.4k total citations
16 papers, 744 citations indexed

About

Pasquale D’Acunzo is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Pasquale D’Acunzo has authored 16 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Neurology. Recurrent topics in Pasquale D’Acunzo's work include Extracellular vesicles in disease (9 papers), Autophagy in Disease and Therapy (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Pasquale D’Acunzo is often cited by papers focused on Extracellular vesicles in disease (9 papers), Autophagy in Disease and Therapy (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Pasquale D’Acunzo collaborates with scholars based in United States, Italy and Denmark. Pasquale D’Acunzo's co-authors include Efrat Levy, Chris N. Goulbourne, Rocío Pérez‐González, Yohan Kim, Mariko Saito, Flavie Strappazzon, Anthea Di Rita, Francesco Cecconi, Monika Pawlik and Hediye Erdjument‐Bromage and has published in prestigious journals such as Nature Communications, Nature Protocols and Science Advances.

In The Last Decade

Pasquale D’Acunzo

16 papers receiving 740 citations

Hit Papers

Mitovesicles are a novel ... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Pasquale D’Acunzo 544 276 160 79 72 16 744
Hisae Kikuchi 491 0.9× 250 0.9× 114 0.7× 45 0.6× 83 1.2× 15 734
Aitor Martinez 534 1.0× 412 1.5× 81 0.5× 174 2.2× 123 1.7× 14 760
Soung Jung Kim 396 0.7× 115 0.4× 103 0.6× 58 0.7× 78 1.1× 16 632
Samuel A. Hasson 582 1.1× 265 1.0× 56 0.3× 84 1.1× 122 1.7× 17 892
Leonardo J. Leon 464 0.9× 333 1.2× 67 0.4× 49 0.6× 111 1.5× 10 698
Peng Xu 493 0.9× 527 1.9× 109 0.7× 52 0.7× 122 1.7× 10 843
Mei Yu 434 0.8× 133 0.5× 193 1.2× 124 1.6× 67 0.9× 13 701
Emiliano Maiani 367 0.7× 107 0.4× 73 0.5× 59 0.7× 158 2.2× 19 644
Haripriya Vittal Rao 432 0.8× 249 0.9× 51 0.3× 24 0.3× 57 0.8× 19 804
Laura Ciarlo 453 0.8× 171 0.6× 85 0.5× 53 0.7× 162 2.3× 21 823

Countries citing papers authored by Pasquale D’Acunzo

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale D’Acunzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pasquale D’Acunzo. 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 Pasquale D’Acunzo. The network helps show where Pasquale D’Acunzo may publish in the future.

Co-authorship network of co-authors of Pasquale D’Acunzo

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

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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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