Federica Piccirilli

69 total papers · 678 total citations
37 papers, 435 citations indexed

About

Federica Piccirilli is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomaterials. According to data from OpenAlex, Federica Piccirilli has authored 37 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Atomic and Molecular Physics, and Optics and 8 papers in Biomaterials. Recurrent topics in Federica Piccirilli's work include Protein Structure and Dynamics (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers) and Supramolecular Self-Assembly in Materials (5 papers). Federica Piccirilli is often cited by papers focused on Protein Structure and Dynamics (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers) and Supramolecular Self-Assembly in Materials (5 papers). Federica Piccirilli collaborates with scholars based in Italy, United States and United Kingdom. Federica Piccirilli's co-authors include A. Perucchi, S. Lupi, Lisa Vaccari, Sara Mangialardo, Giovanni Birarda, Valeria Militello, P. Postorino, Valeria Vetri, P. Dore and Aziz Taghbalout and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Federica Piccirilli

34 papers receiving 432 citations

Author Peers

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

Author Last Decade Papers Cites
Federica Piccirilli 161 98 86 70 59 37 435
Philippe Desmeules 301 1.9× 38 0.4× 68 0.8× 32 0.5× 60 1.0× 15 483
Bibin B. Andriana 102 0.6× 44 0.4× 151 1.8× 73 1.0× 12 0.2× 50 457
Zhiyong Gong 113 0.7× 66 0.7× 33 0.4× 129 1.8× 90 1.5× 40 400
Marlena Gąsior‐Głogowska 153 1.0× 21 0.2× 126 1.5× 94 1.3× 15 0.3× 36 478
Sabrina Beretta 192 1.2× 104 1.1× 121 1.4× 93 1.3× 72 1.2× 17 424
Run‐Chu Liang 108 0.7× 60 0.6× 77 0.9× 83 1.2× 13 0.2× 21 431
Huaizhou Jin 251 1.6× 53 0.5× 43 0.5× 109 1.6× 44 0.7× 34 475
Ellas Spyratou 105 0.7× 76 0.8× 49 0.6× 240 3.4× 59 1.0× 45 446
Ewelina Kalwarczyk 172 1.1× 143 1.5× 16 0.2× 102 1.5× 33 0.6× 15 428
Ranajay Saha 203 1.3× 67 0.7× 25 0.3× 27 0.4× 54 0.9× 26 413

Countries citing papers authored by Federica Piccirilli

Since Specialization
Citations

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

Fields of papers citing papers by Federica Piccirilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Piccirilli

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