Valerio Benedetti

842 total citations · 1 hit paper
8 papers, 599 citations indexed

About

Valerio Benedetti is a scholar working on Neurology, Physiology and Organic Chemistry. According to data from OpenAlex, Valerio Benedetti has authored 8 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 2 papers in Physiology and 1 paper in Organic Chemistry. Recurrent topics in Valerio Benedetti's work include Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Vascular Malformations Diagnosis and Treatment (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Valerio Benedetti is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Vascular Malformations Diagnosis and Treatment (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Valerio Benedetti collaborates with scholars based in Italy, United States and Austria. Valerio Benedetti's co-authors include Jlenia Monfregola, Maria Matarese, Gennaro Napolitano, Andrea Ballabio, Alessandra Esposito, Chiara Di Malta, Jennifer Lippincott‐Schwartz, Diego L. Medina, Mariana E. G. de Araújo and Alessandro Venuta and has published in prestigious journals such as Nature, Nature Communications and International Journal of Molecular Sciences.

In The Last Decade

Valerio Benedetti

8 papers receiving 595 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A substrate-specific mTORC1 pathway underlies Birt–Hogg–Dubé syndrome

2020 208 citations Gennaro Napolitano, Chiara Di Malta et al. Nature profile →

Peers

Valerio Benedetti

MB

EPIDE

CB

PHYSI

Shinya Honda Japan

Mija Marinković Croatia

Gautam Runwal United Kingdom

Yue Zong China

Etty Bachar-Wikström Sweden

Svenja Zielke Germany

Astrid Rodríguez-Vélez United States

Li Mao China

Yuyan Jia China

Shinya Honda Japan

Valerio Benedetti

320 ×1.1

MB

460 ×1.8

EPIDE

142 ×1.3

CB

67 ×0.7

PHYSI

64 ×0.7

PHYSI

Citations per year, relative to Valerio Benedetti Valerio Benedetti (= 1×) peers Shinya Honda

Countries citing papers authored by Valerio Benedetti

Since Specialization

Citations

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

Fields of papers citing papers by Valerio Benedetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerio Benedetti

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

All Works

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8 of 8 papers shown

1.

Benedetti, Valerio, Maria Ines Crescio, Loretta Masoero, et al.. (2023). Pro-Inflammatory and Cytotoxic Effects of Polystyrene Microplastics on Human and Murine Intestinal Cell Lines. Biomolecules. 13(1). 140–140. 33 indexed citations

2.

Berrone, Elena, Giovanna Chiorino, Valerio Benedetti, et al.. (2023). SOMAscan Proteomics Identifies Novel Plasma Proteins in Amyotrophic Lateral Sclerosis Patients. International Journal of Molecular Sciences. 24(3). 1899–1899. 9 indexed citations

3.

Benedetti, Valerio, et al.. (2022). Next-Generation Sequencing Advances the Genetic Diagnosis of Cerebral Cavernous Malformation (CCM). Antioxidants. 11(7). 1294–1294. 7 indexed citations

4.

Perrelli, Andrea, Valerio Benedetti, Chiara Ferraris, et al.. (2021). Towards precision nanomedicine for cerebrovascular diseases with emphasis on Cerebral Cavernous Malformation (CCM). Expert Opinion on Drug Delivery. 18(7). 849–876. 16 indexed citations

5.

Napolitano, Gennaro, Chiara Di Malta, Alessandra Esposito, et al.. (2020). A substrate-specific mTORC1 pathway underlies Birt–Hogg–Dubé syndrome. Nature. 585(7826). 597–602. 208 indexed citations breakdown →

6.

Benedetti, Valerio, Elisa Pellegrino, Alfredo Brusco, Roberto Piva, & Saverio Francesco Retta. (2020). Next Generation Sequencing (NGS) Strategies for Genetic Testing of Cerebral Cavernous Malformation (CCM) Disease. Methods in molecular biology. 2152. 59–75. 2 indexed citations

7.

Cianfruglia, Laura, Andrea Perrelli, Alessandro Magini, et al.. (2019). KRIT1 Loss-Of-Function Associated with Cerebral Cavernous Malformation Disease Leads to Enhanced S-Glutathionylation of Distinct Structural and Regulatory Proteins. Antioxidants. 8(1). 27–27. 37 indexed citations

8.

Napolitano, Gennaro, Alessandra Esposito, Maria Matarese, et al.. (2018). mTOR-dependent phosphorylation controls TFEB nuclear export. Nature Communications. 9(1). 3312–3312. 287 indexed citations

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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