Francesca Pagliari

64 total papers · 2.1k total citations
40 papers, 1.6k citations indexed

About

Francesca Pagliari is a scholar working on Biomedical Engineering, Biomaterials and Molecular Biology. According to data from OpenAlex, Francesca Pagliari has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 15 papers in Biomaterials and 14 papers in Molecular Biology. Recurrent topics in Francesca Pagliari's work include Tissue Engineering and Regenerative Medicine (12 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and Lipid metabolism and biosynthesis (6 papers). Francesca Pagliari is often cited by papers focused on Tissue Engineering and Regenerative Medicine (12 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and Lipid metabolism and biosynthesis (6 papers). Francesca Pagliari collaborates with scholars based in Italy, Germany and Saudi Arabia. Francesca Pagliari's co-authors include Paolo Di Nardo, Stefania Pagliari, Giancarlo Forte, Enrico Traversa, Silvia Licoccia, Luca Tirinato, Corrado Mandoli, Marilena Minieri, Patrizio Candeloro and Tania Limongi and has published in prestigious journals such as Advanced Materials, ACS Nano and Advanced Functional Materials.

In The Last Decade

Francesca Pagliari

37 papers receiving 1.6k 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 Pagliari 487 484 387 365 249 40 1.6k
Zhao Guo 976 2.0× 1.2k 2.4× 326 0.8× 371 1.0× 80 0.3× 43 1.9k
Feng Ren 994 2.0× 1.1k 2.2× 416 1.1× 262 0.7× 99 0.4× 79 2.2k
Hui Guo 492 1.0× 749 1.5× 314 0.8× 338 0.9× 258 1.0× 47 1.6k
Songwei Lv 380 0.8× 838 1.7× 484 1.3× 256 0.7× 86 0.3× 33 1.5k
Guohao Wang 679 1.4× 1.4k 2.9× 359 0.9× 425 1.2× 42 0.2× 48 1.9k
Zhaowen Cui 901 1.9× 1.2k 2.6× 283 0.7× 413 1.1× 33 0.1× 21 1.7k
Sheng Liang 465 1.0× 391 0.8× 838 2.2× 320 0.9× 64 0.3× 100 2.2k
Yang Xie 563 1.2× 1.1k 2.4× 531 1.4× 237 0.6× 356 1.4× 62 2.0k
Xiangrong Yu 313 0.6× 1.0k 2.1× 437 1.1× 483 1.3× 118 0.5× 81 1.9k
Tammy L. Kalber 321 0.7× 708 1.5× 601 1.6× 523 1.4× 131 0.5× 62 1.9k

Countries citing papers authored by Francesca Pagliari

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Pagliari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Pagliari

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026