Giulia Schiroli

1.6k total citations · 1 hit paper
14 papers, 955 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 955 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, Angelo Lombardo, Michael C. Holmes, Eugenio Montini, Andrea Calabria, Bernhard Gentner, Mirjam van der Burg, Tiziano Di Tomaso 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 946 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Targeted genome editing in human repopulating haematopoietic stem cells

2014 434 citations Pietro Genovese, Giulia Schiroli et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Giulia Schiroli United States	7	786	501	252	119	110	14	955
Samuele Ferrari Italy	10	616 0.8×	371 0.7×	218 0.9×	81 0.7×	95 0.9×	20	746
Alec B. Wilkens United States	3	1.3k 1.7×	446 0.9×	218 0.9×	142 1.2×	75 0.7×	4	1.5k
Giulia Pavani United States	15	783 1.0×	459 0.9×	187 0.7×	201 1.7×	58 0.5×	33	1.1k
Carmencita E. Nicolas United States	2	684 0.9×	314 0.6×	133 0.5×	123 1.0×	51 0.5×	2	776
Fabrizia Urbinati United States	17	1.1k 1.4×	785 1.6×	299 1.2×	330 2.8×	81 0.7×	28	1.4k
Aurélien Jacob Italy	8	488 0.6×	316 0.6×	168 0.7×	57 0.5×	77 0.7×	10	575
Carsten T. Charlesworth United States	7	854 1.1×	357 0.7×	157 0.6×	44 0.4×	44 0.4×	10	938
Claudia Firrito Italy	4	393 0.5×	224 0.4×	108 0.4×	65 0.5×	70 0.6×	8	515
Alexander Astrakhan United States	12	466 0.6×	327 0.7×	302 1.2×	49 0.4×	187 1.7×	18	759
Emma Haapaniemi Finland	4	829 1.1×	260 0.5×	146 0.6×	32 0.3×	87 0.8×	6	934

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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14 of 14 papers shown

Schiroli, Giulia, Vinay K. Kartha, Fabiana M. Duarte, et al.. (2024). Cell of origin epigenetic priming determines susceptibility to Tet2 mutation. Nature Communications. 15(1). 4325–4325. 3 indexed citations

Tozzi, Lorenzo, Giulia Schiroli, Yu Cao, et al.. (2024). In Vivo HSC Gene Editing for Correction of the Sickle Cell Mutation Using RNA Gene Writers. Blood. 144(Supplement 1). 515–515. 3 indexed citations

Rhee, Catherine, Elizabeth W. Scadden, Lai Ping Wong, et al.. (2023). Limited plasticity of monocyte fate and function associated with epigenetic scripting at the level of progenitors. Blood. 142(7). 658–674. 5 indexed citations

Kfoury, Youmna, Fei Ji, Esha Jain, et al.. (2023). The bone marrow stroma in human myelodysplastic syndrome reveals alterations that regulate disease progression. Blood Advances. 7(21). 6608–6623. 7 indexed citations

Magee, Michael S., Alberto De Iaco, James B. Rottman, et al.. (2023). Deploying an RNA-Based Gene Writer System and Lipid Nanoparticle (LNP) Delivery to Generate Functional Chimeric Antigen Receptor (CAR) T Cells with in Vitro and In Vivo Anti-Tumor Activity. Blood. 142(Supplement 1). 2073–2073. 3 indexed citations

Elferich, Johannes, Giulia Schiroli, David T Scadden, & Nikolaus Grigorieff. (2022). Defocus Corrected Large Area Cryo-EM (DeCo-LACE) for label-free detection of molecules across entire cell sections. eLife. 11. 11 indexed citations

Mazzola, Michael, Ting C. Zhao, Trine Kristiansen, et al.. (2022). Cap-Independent Protein Translation in Hematopoiesis. Blood. 140(Supplement 1). 1983–1984. 1 indexed citations

Schiroli, Giulia, Anastasia Conti, Samuele Ferrari, et al.. (2019). Precise Gene Editing Preserves Hematopoietic Stem Cell Function following Transient p53-Mediated DNA Damage Response. Cell stem cell. 24(4). 551–565.e8. 203 indexed citations

Petrillo, Carolina, Lucy Thorne, Giulia Unali, et al.. (2018). Cyclosporine H Overcomes Innate Immune Restrictions to Improve Lentiviral Transduction and Gene Editing In Human Hematopoietic Stem Cells. Cell stem cell. 23(6). 820–832.e9. 79 indexed citations

10.

Díez, Begoña, Pietro Genovese, Francisco J Roman‐Rodriguez, et al.. (2017). Therapeutic gene editing in CD 34 ⁺ hematopoietic progenitors from Fanconi anemia patients. EMBO Molecular Medicine. 9(11). 1574–1588. 44 indexed citations

11.

Schiroli, Giulia, Samuele Ferrari, Anthony Conway, et al.. (2017). Preclinical modeling highlights the therapeutic potential of hematopoietic stem cell gene editing for correction of SCID-X1. Science Translational Medicine. 9(411). 159 indexed citations

12.

Schiroli, Giulia, Pietro Genovese, Valentina Capo, et al.. (2016). 42. Correction of SCID-X1 by Targeted Genome Editing of Hematopoietic Stem/Progenitor Cells (HSPC) in the Mouse Model. Molecular Therapy. 24. S18–S19. 1 indexed citations

13.

Schiroli, Giulia, Pietro Genovese, Maria Carmina Castiello, et al.. (2015). 481. Targeted Genome Editing in Mouse Hematopoietic Stem/Progenitor Cells (HSPC) To Model Gene Correction of SCID-X1. Molecular Therapy. 23. S191–S191. 2 indexed citations

14.

Genovese, Pietro, Giulia Schiroli, Giulia Escobar, et al.. (2014). Targeted genome editing in human repopulating haematopoietic stem cells. Nature. 510(7504). 235–240. 434 indexed citations breakdown →

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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