Giulia Pascoletti

46 total papers · 555 total citations
28 papers, 386 citations indexed

About

Giulia Pascoletti is a scholar working on Biomedical Engineering, Surgery and Automotive Engineering. According to data from OpenAlex, Giulia Pascoletti has authored 28 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 10 papers in Surgery and 6 papers in Automotive Engineering. Recurrent topics in Giulia Pascoletti's work include Bone Tissue Engineering Materials (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Orthopaedic implants and arthroplasty (3 papers). Giulia Pascoletti is often cited by papers focused on Bone Tissue Engineering Materials (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Orthopaedic implants and arthroplasty (3 papers). Giulia Pascoletti collaborates with scholars based in Italy, United Kingdom and Belgium. Giulia Pascoletti's co-authors include Michele Calì, Elisabetta M. Zanetti, Rita Ambu, Massimiliano Gaeta, Giordano Franceschini, Mara Terzini, Domenico Corapi, Giulia Morettini, Giovanni Putame and Cristina Bignardi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Dental Materials.

In The Last Decade

Giulia Pascoletti

26 papers receiving 376 citations

Author Peers

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

Author Last Decade Papers Cites
Giulia Pascoletti 132 122 104 82 42 28 386
Kang‐jie Cheng 168 1.3× 109 0.9× 99 1.0× 169 2.1× 18 0.4× 22 392
Philipp Brantner 226 1.7× 115 0.9× 110 1.1× 48 0.6× 12 0.3× 20 414
Péter Maróti 193 1.5× 175 1.4× 48 0.5× 20 0.2× 53 1.3× 39 373
Waraporn Suvannapruk 222 1.7× 149 1.2× 107 1.0× 54 0.7× 45 1.1× 30 377
Boyang Wan 132 1.0× 82 0.7× 69 0.7× 128 1.6× 16 0.4× 30 385
Nabiollah Abolfathi 223 1.7× 123 1.0× 68 0.7× 28 0.3× 101 2.4× 25 351
Marcelo Oliveira 186 1.4× 157 1.3× 26 0.3× 24 0.3× 114 2.7× 32 414
Mona Prabhakar 79 0.6× 109 0.9× 18 0.2× 30 0.4× 22 0.5× 20 338
Petru Berce 201 1.5× 120 1.0× 84 0.8× 37 0.5× 33 0.8× 35 432
Hai Yu 147 1.1× 90 0.7× 28 0.3× 97 1.2× 21 0.5× 25 346

Countries citing papers authored by Giulia Pascoletti

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Pascoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Pascoletti

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