Giulia Masi

2.8k citations
41 papers · 907 · 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 890 citations

Peers

Giulia Masi
Comparison fields: 5 of 90
  • Nephrology 138
  • Infectious Diseases 165
  • Cancer Research 119
  • Public Health, Environmental and Occupational Health 174
  • Endocrine and Autonomic Systems 38
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Michael Franti United States
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Anthony Marinov United States
Jonathan Maelfait Belgium
Frederic G. Dalldorf United States
José R. Regueiro Spain
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Citations per field
00.5×4.3×
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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 201851
3 201550
4 201348
5 201846
6 200844
7 200544
8 200742
9 201242
10 202333
11 201633
12 202130
13 201428
14 201128
15 201324
16 201323
17 200622
18 201622
19 201922
20 201922

About Giulia Masi

Giulia Masi is a scholar working on Molecular Biology, Surgery, Epidemiology, Nephrology and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 907 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (6 papers), CRISPR and Genetic Engineering (5 papers), Mosquito-borne diseases and control (5 papers), Soft tissue tumor case studies (4 papers), Pluripotent Stem Cells Research (4 papers), Adrenal and Paraganglionic Tumors (4 papers), Medical Imaging and Pathology Studies (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Nephrology (138 citations), Infectious Diseases (165 citations), Cancer Research (119 citations), Public Health, Environmental and Occupational Health (174 citations) and Endocrine and Autonomic Systems (38 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, Barbara Di Camillo, Gennaro Favia and Andrea Porzionato. Their work appears in journals such as Stem Cell Research, Eurosurveillance, Human Pathology, European Journal of Endocrinology and Viruses.

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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