Giulia Maule

1.1k citations
13 papers · 763 · 1 hit paper · h-index 9

Impact in

Papers in

    • CRISPR and Genetic Engineering 11
    • RNA regulation and disease 4
    • Advanced biosensing and bioanalysis techniques 3
    • RNA and protein synthesis mechanisms 2
    • Pluripotent Stem Cells Research 1
    • Hemoglobinopathies and Related Disorders 3

Giulia Maule

13 papers receiving 750 citations

Giulia Maule's Hit Papers

A highly specific SpCas9 variant is identified by in vivo screening in yeast 2018 · 388 citations
3880+2+5Years since publication100200300

Peers

Giulia Maule
Comparison fields: 5 of 52
  • Business and International Management 85
  • Aging 48
  • Molecular Biology 665
  • Genetics 144
  • Genetics 44
Replace Ron Baik with:
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Kelcee A. Everette United States
Carsten T. Charlesworth United States
Sivaprakash Ramalingam India
Christopher S Waters United States
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Ricardo Dolmetsch Switzerland
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Giulia Maule relative to Ron Baik United States Ron Baik's profile →
Citations per field
00.5×1.5×1.8×
Ron Baik · 1×
Citations per year

Countries citing papers authored by Giulia Maule

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Maule

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giulia Maule, 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 Giulia Maule Line = papers co-authored together Giulia Maule links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
A highly specific SpCas9 variant is identified by in vivo screening in yeast
Hit paper breakdown →
2018388
2 201896
3 201971
4 202164
5 202052
6 202436
7 202323
8 202114
9 20248
10 20217
11 20222
12 20251
13 20211

About Giulia Maule

Giulia Maule is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Hematology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 763 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), RNA regulation and disease (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Cystic Fibrosis Research Advances (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Iron Metabolism and Disorders (2 papers), RNA and protein synthesis mechanisms (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Business and International Management (85 citations), Aging (48 citations), Molecular Biology (665 citations), Genetics (144 citations) and Genetics (44 citations). Giulia Maule has collaborated with scholars based in Italy, France and Belgium. Frequent co-authors include Anna Cereseto, Antonio Casini, Claudia Montagna, Gianluca Petris, Francesca Lorenzin, Michele Olivieri, Alessandro Romanel, Francesca Demichelis, Alberto Inga and Giordano Reginato. Their work appears in journals such as Molecular Therapy, Nature Communications, Nature Biotechnology, Cell Reports Medicine 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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