Alessandro Venuta

16 total papers · 571 total citations
10 papers, 387 citations indexed

About

Alessandro Venuta is a scholar working on Oncology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Alessandro Venuta has authored 10 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Biomaterials and 3 papers in Biomedical Engineering. Recurrent topics in Alessandro Venuta's work include Nanoparticle-Based Drug Delivery (3 papers), Cancer Cells and Metastasis (2 papers) and Graphene and Nanomaterials Applications (2 papers). Alessandro Venuta is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Cancer Cells and Metastasis (2 papers) and Graphene and Nanomaterials Applications (2 papers). Alessandro Venuta collaborates with scholars based in Italy, United States and China. Alessandro Venuta's co-authors include Haifa Shen, Joy Wolfram, Mauro Ferrari, Jlenia Monfregola, Maria Matarese, Edoardo Nusco, Gennaro Napolitano, Salvatore Pece, Valerio Benedetti and Pier Paolo Di Fiore and has published in prestigious journals such as Nature, Journal of Controlled Release and International Journal of Molecular Sciences.

In The Last Decade

Alessandro Venuta

10 papers receiving 383 citations

Hit Papers

A substrate-specific mTOR... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Alessandro Venuta 181 86 80 59 49 10 387
Hong Quan 188 1.0× 89 1.0× 48 0.6× 24 0.4× 23 0.5× 11 349
Huijuan Zhou 233 1.3× 46 0.5× 73 0.9× 16 0.3× 41 0.8× 15 445
Hao Daniel Lin 163 0.9× 49 0.6× 41 0.5× 17 0.3× 40 0.8× 10 412
Matthias Zeller 81 0.4× 104 1.2× 51 0.6× 25 0.4× 31 0.6× 12 361
Ziheng Chen 259 1.4× 140 1.6× 41 0.5× 54 0.9× 17 0.3× 17 412
Anderson Peck 232 1.3× 22 0.3× 69 0.9× 31 0.5× 26 0.5× 10 408
Céline Tellier 202 1.1× 51 0.6× 72 0.9× 41 0.7× 18 0.4× 6 438
Gedaa Hassan 67 0.4× 94 1.1× 61 0.8× 30 0.5× 48 1.0× 7 377
Woo Hyun Shin 261 1.4× 78 0.9× 49 0.6× 22 0.4× 67 1.4× 11 412
Prajna Behera 156 0.9× 42 0.5× 63 0.8× 12 0.2× 41 0.8× 13 435

Countries citing papers authored by Alessandro Venuta

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Venuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Venuta

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