Francesca Pierella

10 total papers · 426 total citations
7 papers, 382 citations indexed

About

Francesca Pierella is a scholar working on Molecular Biology, Materials Chemistry and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Francesca Pierella has authored 7 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Materials Chemistry and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Francesca Pierella's work include Enzyme Structure and Function (2 papers), CRISPR and Genetic Engineering (2 papers) and Biochemical and Molecular Research (2 papers). Francesca Pierella is often cited by papers focused on Enzyme Structure and Function (2 papers), CRISPR and Genetic Engineering (2 papers) and Biochemical and Molecular Research (2 papers). Francesca Pierella collaborates with scholars based in Italy. Francesca Pierella's co-authors include Monica Emanuelli, Giulio Magni, Francesco Carnevali, Adolfo Amici, Nadia Raffaelli, Franca Saccucci, Davide Sartini, Giulio Milanese, Giovanni Muzzonigro and Valentina Rossi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Urology and Toxicology and Applied Pharmacology.

In The Last Decade

Francesca Pierella

7 papers receiving 377 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 Pierella 211 141 140 91 70 7 382
Lola E. Navas 200 0.9× 119 0.8× 94 0.7× 54 0.6× 49 0.7× 8 400
Melissa L. Stewart 226 1.1× 99 0.7× 113 0.8× 80 0.9× 45 0.6× 8 369
Shuaiyi Chen 219 1.0× 61 0.4× 131 0.9× 41 0.5× 89 1.3× 6 361
Garrison Komaniecki 212 1.0× 91 0.6× 35 0.3× 28 0.3× 60 0.9× 7 386
Sofia Giacosa 258 1.2× 106 0.8× 150 1.1× 32 0.4× 75 1.1× 7 406
Cathleen Dai 253 1.2× 133 0.9× 98 0.7× 61 0.7× 139 2.0× 8 433
Sheyla Velasco 197 0.9× 46 0.3× 144 1.0× 49 0.5× 111 1.6× 9 358
Britta Jedamzik 201 1.0× 25 0.2× 122 0.9× 33 0.4× 72 1.0× 7 381
Lucia Polletta 188 0.9× 35 0.2× 175 1.3× 55 0.6× 176 2.5× 8 440
Hongyan Su 156 0.7× 74 0.5× 45 0.3× 15 0.2× 48 0.7× 8 429

Countries citing papers authored by Francesca Pierella

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Pierella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Pierella

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