Francesca Volpetti

8 total papers · 492 total citations
5 papers, 377 citations indexed

About

Francesca Volpetti is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Francesca Volpetti has authored 5 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 2 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Francesca Volpetti's work include Microfluidic and Bio-sensing Technologies (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Francesca Volpetti is often cited by papers focused on Microfluidic and Bio-sensing Technologies (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Francesca Volpetti collaborates with scholars based in Switzerland, Portugal and United Kingdom. Francesca Volpetti's co-authors include Sebastian J. Maerkl, Ekaterina Petrova, Chris French, Baojun Wang, Xinyi Wan, J. P. Conde, Craig I. Watson, Francesco Piraino, Pedro Novo and V. Chu and has published in prestigious journals such as ACS Nano, PLoS ONE and Nature Chemical Biology.

In The Last Decade

Francesca Volpetti

5 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Volpetti 239 229 51 28 20 5 377
Walter Thavarajah 245 1.0× 150 0.7× 15 0.3× 28 1.0× 13 0.7× 9 392
Ryan B. Hayman 241 1.0× 202 0.9× 47 0.9× 13 0.5× 17 0.8× 9 393
Yanxiao Feng 169 0.7× 223 1.0× 59 1.2× 20 0.7× 38 1.9× 6 366
Yuechuan Zhang 169 0.7× 221 1.0× 58 1.1× 20 0.7× 39 1.9× 7 367
Hannah Byrne 267 1.1× 166 0.7× 61 1.2× 7 0.3× 16 0.8× 5 410
Emerson Zang 234 1.0× 255 1.1× 70 1.4× 36 1.3× 26 1.3× 7 441
Andrew C. Hunt 287 1.2× 75 0.3× 19 0.4× 35 1.3× 15 0.8× 7 392
Hansol Lee 265 1.1× 69 0.3× 28 0.5× 10 0.4× 8 0.4× 7 347
Nathaniel Roquet 360 1.5× 148 0.6× 13 0.3× 44 1.6× 18 0.9× 4 416
Jun Kou 358 1.5× 213 0.9× 21 0.4× 8 0.3× 39 1.9× 7 395

Countries citing papers authored by Francesca Volpetti

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Volpetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Volpetti

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