Fabrizia Urbinati

2.4k citations
28 papers · 1.4k indexed · 1 hit paper · h-index 17
  • Genetics top 5%
    • Virus-based gene therapy research 17
    • Hemoglobinopathies and Related Disorders 8
  • Genetics top 2%
    • Virus-based gene therapy research 17
    • Hemoglobinopathies and Related Disorders 8
  • Aging top 10%
    • CRISPR and Genetic Engineering 13
    • RNA Interference and Gene Delivery 4
    • RNA regulation and disease 3
    • Parvovirus B19 Infection Studies 6
    • Viral gastroenteritis research and epidemiology 2
    • CAR-T cell therapy research 5

Fabrizia Urbinati

28 papers receiving 1.4k citations

Hit Papers

Selection-free genome editing of the sickle mutation in h...3422016202620192022100200300

Peers

Fabrizia Urbinati
Comparison fields: 5 of 64
  • Business and International Management 73
  • Genetics 330
  • Genetics 785
  • Aging 29
  • Molecular Biology 1.1k
Replace Giulia Schiroli with:
Giulia Schiroli United States
Alec B. Wilkens United States
Carmencita E. Nicolas United States
Samuele Ferrari Italy
Christine Kaeppel Germany
Claudia Firrito Italy
Hongjie Wang United States
Daniela Sartori Italy
Irene Gil-Fariña Germany
K M Gaensler United States
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Citations per field
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Giulia Schiroli · 1×
Citations per year

Countries citing papers authored by Fabrizia Urbinati

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizia Urbinati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fabrizia Urbinati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabrizia Urbinati Line = papers co-authored together Fabrizia Urbinati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20233
3 201827
4 201818
5 201716
6 201729
7 201650
8 2016153
9 201512
10 201527
11 201525
12 20112
13 200957
14 200961
15 200952
16 20081
17 2007180
18 200763
19 200618
20 200512

About Fabrizia Urbinati

Fabrizia Urbinati is a scholar working on Genetics, Genetics and Infectious Diseases, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), CRISPR and Genetic Engineering (13 papers), Hemoglobinopathies and Related Disorders (8 papers), Parvovirus B19 Infection Studies (6 papers), CAR-T cell therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), RNA regulation and disease (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Business and International Management (73 citations), Genetics (330 citations) and Genetics (785 citations). Fabrizia Urbinati has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Donald B. Kohn, Punam Malik, Tomoyasu Higashimoto, Roger P. Hollis, Fulvio Mavilio, Paritha Arumugam, Mark C. Walters, Denise P. Muñoz, Seok‐Jin Heo and Wendy Magis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

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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