Giulia Getti

643 citations
26 papers · 524 · h-index 14

Impact in

Papers in

Giulia Getti

24 papers receiving 514 citations

Peers

Giulia Getti
Comparison fields: 5 of 96
  • Pharmaceutical Science 82
  • Rehabilitation 57
  • Biomaterials 125
  • Molecular Medicine 22
  • Toxicology 10
Replace Fabrizio Spada with:
Fabrizio Spada Australia
Drishtant Singh India
Meihui Zhao China
Shuang Tian China
Irene Satiko Kikuchi Brazil
Ana Isabel Barbosa Portugal
Kang Xiong China
Fahd M. Alsharif Egypt
Ahmed Fouad Abdelwahab Mohammed Egypt
Ian P. Harrison Australia
Giulia Getti relative to Fabrizio Spada Australia Fabrizio Spada's profile →
Citations per field
00.5×10×14×
Fabrizio Spada · 1×
Citations per year

Countries citing papers authored by Giulia Getti

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Getti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 201559
3 202157
4 201345
5 201638
6 200934
7 202229
8 201528
9 202120
10 200818
11 201918
12 200918
13 202117
14 201614
15 201313
16 201213
17 200612
18 20198
19 20216
20 20224

About Giulia Getti

Giulia Getti is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Immunology, Pharmaceutical Science and Genetics, having authored 26 papers that have together received 524 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (9 papers), RNA Interference and Gene Delivery (3 papers), Advancements in Transdermal Drug Delivery (3 papers), Trypanosoma species research and implications (2 papers), Wound Healing and Treatments (2 papers), Phytochemical compounds biological activities (2 papers), Microbial bioremediation and biosurfactants (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Pharmaceutical Science (82 citations), Rehabilitation (57 citations), Biomaterials (125 citations), Molecular Medicine (22 citations) and Toxicology (10 citations). Giulia Getti has collaborated with scholars based in United Kingdom, United States and Ethiopia. Frequent co-authors include Joshua Boateng, Dennis Douroumis, Andrew P. Hurt, Nichola J. Coleman, David P. Humber, Кришнан Каннабиран, Uttom Nandi, Robert Cheke, Ian J. Slipper and Babur Z. Chowdhry. Their work appears in journals such as Parasitology, International Journal of Pharmaceutics, Drug Delivery and Translational Research, Biology Open and Journal of Medical Microbiology.

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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