Giulia Adriani

2.9k citations
45 papers · 2.3k · h-index 21

Impact in

    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Bio-sensing Technologies
    • Nanoparticle-Based Drug Delivery

Papers in

    • Cancer Cells and Metastasis 12
    • CAR-T cell therapy research 9
    • Cancer Immunotherapy and Biomarkers 5
    • 3D Printing in Biomedical Research 17
    • Innovative Microfluidic and Catalytic Techniques Innovation 5

Giulia Adriani

42 papers receiving 2.3k citations

Peers

Giulia Adriani
Comparison fields: 5 of 112
  • Biomedical Engineering 1.1k
  • Biomaterials 323
  • Neurology 200
  • Oncology 636
  • Cancer Research 326
Replace Adam M. Sonabend with:
Adam M. Sonabend United States
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Citations per field
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Citations per year

Countries citing papers authored by Giulia Adriani

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Adriani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016343
2 2019311
3 2016198
4 2017193
5 2011156
6 2012130
7 201597
8 201894
9 201587
10 202082
11 201668
12 201764
13 201757
14 201656
15 202047
16 201830
17 202127
18 201527
19 201926
20 202124

About Giulia Adriani

Giulia Adriani is a scholar working on Oncology, Biomedical Engineering, Molecular Biology, Immunology and Biomaterials, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (17 papers), Cancer Cells and Metastasis (12 papers), CAR-T cell therapy research (9 papers), Immune cells in cancer (8 papers), Nanoparticle-Based Drug Delivery (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Biomedical Engineering (1.1k citations), Biomaterials (323 citations), Neurology (200 citations), Oncology (636 citations) and Cancer Research (326 citations). Giulia Adriani has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Roger D. Kamm, Andrea Pavesi, Sharon Wei Ling Lee, Dongliang Ma, Eyleen L. K. Goh, Siew Cheng Wong, Marco Campisi, Valeria Chiono, Tatsuya Osaki and Clara Mattu. Their work appears in journals such as Scientific Reports, Advanced Healthcare Materials, Cancer Research, Oncotarget and Journal of Controlled Release.

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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