Giulia Schiroli

35 total papers · 1.6k total citations
14 papers, 952 citations indexed

About

Giulia Schiroli is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Giulia Schiroli has authored 14 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in Giulia Schiroli's work include CRISPR and Genetic Engineering (9 papers), Virus-based gene therapy research (7 papers) and CAR-T cell therapy research (5 papers). Giulia Schiroli is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Virus-based gene therapy research (7 papers) and CAR-T cell therapy research (5 papers). Giulia Schiroli collaborates with scholars based in United States, Italy and United Kingdom. Giulia Schiroli's co-authors include Pietro Genovese, Luigi Naldini, Michael C. Holmes, Angelo Lombardo, Andrea Calabria, Eugenio Montini, Bernhard Gentner, Claudia Firrito, Mirjam van der Burg and Chiara Bonini and has published in prestigious journals such as Nature, Nature Communications and Blood.

In The Last Decade

Giulia Schiroli

14 papers receiving 943 citations

Hit Papers

Targeted genome editing i... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Giulia Schiroli 784 500 251 118 109 14 952
Luisa Albano 774 1.0× 340 0.7× 438 1.7× 80 0.7× 106 1.0× 21 1.0k
Volker Wiebking 823 1.0× 368 0.7× 492 2.0× 72 0.6× 190 1.7× 13 1.2k
Timothy Davis 759 1.0× 318 0.6× 363 1.4× 69 0.6× 145 1.3× 17 1.1k
Giulia Pavani 766 1.0× 455 0.9× 184 0.7× 199 1.7× 58 0.5× 32 1.1k
David A. Shivak 854 1.1× 507 1.0× 192 0.8× 40 0.3× 57 0.5× 10 1.0k
M. Kyle Cromer 981 1.3× 441 0.9× 256 1.0× 46 0.4× 56 0.5× 17 1.2k
Ashley I. Beyer 806 1.0× 210 0.4× 86 0.3× 138 1.2× 91 0.8× 17 1.1k
Carsten T. Charlesworth 841 1.1× 352 0.7× 155 0.6× 44 0.4× 44 0.4× 10 923
Tiziano Di Tomaso 531 0.7× 260 0.5× 426 1.7× 137 1.2× 307 2.8× 9 933
Wendy Magis 955 1.2× 298 0.6× 74 0.3× 137 1.2× 77 0.7× 14 1.1k

Countries citing papers authored by Giulia Schiroli

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Schiroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Schiroli

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