Giulia Masi

2.8k citations
41 papers · 931 · h-index 20

Impact in

Papers in

    • CRISPR and Genetic Engineering 5
    • Pluripotent Stem Cells Research 4
    • RNA Interference and Gene Delivery 3
    • Adrenal and Paraganglionic Tumors 4

Giulia Masi

39 papers receiving 914 citations

Peers

Giulia Masi
Comparison fields: 5 of 87
  • Nephrology 142
  • Infectious Diseases 147
  • Public Health, Environmental and Occupational Health 177
  • Cancer Research 94
  • Endocrine and Autonomic Systems 39
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Michael Franti United States
Anna I. Proietto Australia
Hayat Dagher Australia
Jörn C. Albring Germany
Federica Moalli Italy
Jonathan Maelfait Belgium
L. Hsing United States
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Citations per field
00.5×4.5×
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Citations per year

Countries citing papers authored by Giulia Masi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200963
2 201552
3 201851
4 201849
5 201348
6 200544
7 200844
8 201243
9 200742
10 202340
11 201634
12 202130
13 201428
14 201128
15 201326
16 201923
17 201323
18 201623
19 200622
20 201922

About Giulia Masi

Giulia Masi is a scholar working on Molecular Biology, Surgery, Nephrology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 41 papers that have together received 931 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (6 papers), Mosquito-borne diseases and control (5 papers), CRISPR and Genetic Engineering (5 papers), Adrenal and Paraganglionic Tumors (4 papers), Pluripotent Stem Cells Research (4 papers), Cervical Cancer and HPV Research (3 papers), RNA Interference and Gene Delivery (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Nephrology (142 citations), Infectious Diseases (147 citations), Public Health, Environmental and Occupational Health (177 citations), Cancer Research (94 citations) and Endocrine and Autonomic Systems (39 citations). Giulia Masi has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Luisa Barzon, Giorgio Palù, Marta Trevisan, Monia Pacenti, Maurizio Iacobone, Alessandro Sinigaglia, Enrico Lavezzo, Veronica Macchi, Andrea Porzionato and Barbara Di Camillo. Their work appears in journals such as Stem Cell Research, Eurosurveillance, Viruses, European Journal of Endocrinology and Human Pathology.

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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