Fabio Corsi

6.5k citations
181 papers · 4.5k · h-index 38

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 15
    • RNA Interference and Gene Delivery 10
    • Cancer Cells and Metastasis 11
    • HER2/EGFR in Cancer Research 9

Fabio Corsi

176 papers receiving 4.4k citations

Peers

Fabio Corsi
Comparison fields: 5 of 145
  • Biomaterials 838
  • Cancer Research 449
  • Oncology 640
  • Hematology 262
  • Biophysics 132
Replace Rama Shanker Verma with:
Rama Shanker Verma India
Giuseppe Toffoli Italy
Julia Y. Ljubimova United States
Steven Weitman United States
Tian‐Lu Cheng Taiwan
M. Guillaume Wientjes United States
Iduna Fichtner Germany
Wilson Roa Canada
Dominika Nowis Poland
James M. Gallo United States
Fabio Corsi relative to Rama Shanker Verma India Rama Shanker Verma's profile →
Citations per field
00.5×3.3×
Rama Shanker Verma · 1×
Citations per year

Countries citing papers authored by Fabio Corsi

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Corsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016231
2 2002155
3 2015138
4 2021129
5 2017127
6 2016124
7 2014109
8 2020101
9 201980
10
Low molecular weight hyaluronic acid prevents oxygen free radical damage to granulation tissue during wound healing.
200276
11 201368
12 201066
13 202065
14 201964
15 202261
16 201760
17 201360
18 201159
19 201859
20 200657

About Fabio Corsi

Fabio Corsi is a scholar working on Molecular Biology, Oncology, Surgery, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 181 papers that have together received 4.5k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (23 papers), Breast Cancer Treatment Studies (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Advanced biosensing and bioanalysis techniques (15 papers), Cancer Cells and Metastasis (11 papers), Spectroscopy Techniques in Biomedical and Chemical Research (11 papers), RNA Interference and Gene Delivery (10 papers) and HER2/EGFR in Cancer Research (9 papers). The work is most often cited by research in Biomaterials (838 citations), Cancer Research (449 citations), Oncology (640 citations), Hematology (262 citations) and Biophysics (132 citations). Fabio Corsi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Serena Mazzucchelli, Marta Truffi, Davide Prosperi, Luca Sorrentino, Miriam Colombo, Diego Foschi, Luisa Fiandra, Arianna Bonizzi, Raffaele Allevi and Carlo Morasso. Their work appears in journals such as Cancer Research, Digestive and Liver Disease, Scientific Reports, International Journal of Molecular Sciences and Pharmacological Research.

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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