Francesca Corsi

455 citations
20 papers · 347 · h-index 12

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • 3D Printing in Biomedical Research
    • Microfluidic and Bio-sensing Technologies
    • Innovative Microfluidic and Catalytic Techniques Innovation

Papers in

Francesca Corsi

20 papers receiving 341 citations

Peers

Francesca Corsi
Comparison fields: 5 of 88
  • Biophysics 48
  • Biomedical Engineering 134
  • Materials Chemistry 117
  • Physiology 9
  • Oncology 37
Replace Tiantian Li with:
Tiantian Li China
Zhenzhen Feng China
Pamela A. Young United States
Neha Goswami Qatar
Gulsim Kulsharova Kazakhstan
Claudia Giliberti Italy
Zejun Yan China
Joanna Filippi Italy
Yefei Wang China
Francesca Corsi relative to Tiantian Li China Tiantian Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Francesca Corsi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Corsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201868
2 202048
3 202340
4 202221
5 202220
6 201819
7 202018
8 201918
9 202014
10 202311
11 202111
12 202211
13 202011
14 200711
15 20208
16 20227
17 20244
18 20233
19 20232
20 20242

About Francesca Corsi

Francesca Corsi is a scholar working on Biomedical Engineering, Molecular Biology, Biophysics, Materials Chemistry and Oncology, having authored 20 papers that have together received 347 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Advanced Nanomaterials in Catalysis (6 papers), Nanoparticles: synthesis and applications (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Nanoplatforms for cancer theranostics (2 papers), Image Processing Techniques and Applications (2 papers), Nanocluster Synthesis and Applications (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Biophysics (48 citations), Biomedical Engineering (134 citations), Materials Chemistry (117 citations), Physiology (9 citations) and Oncology (37 citations). Francesca Corsi has collaborated with scholars based in Italy, France and China. Frequent co-authors include Lina Ghibelli, Enrico Traversa, Fanny Caputo, Arianna Mencattini, Eugenio Martinelli, Paola Casti, Corrado Di Natale, Davide Di Giuseppe, Maria Colomba Comes and Joanna Filippi. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, Frontiers in Oncology, Nanomaterials and Small Methods.

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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