Giorgio Cozza
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 24
- Redox biology and oxidative stress 7
- PI3K/AKT/mTOR signaling in cancer 5
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- Computational Drug Discovery Methods 7
- Toxicology top 2%
- Cancer Research top 5%
- Organic Chemistry top 5%
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- Ferroptosis and cancer prognosis 6
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- Chronic Lymphocytic Leukemia Research 5
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- Cancer Mechanisms and Therapy 5
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- Cellular transport and secretion 5
- Co-authors
- Stefano MoroSantiago VilarLorenzo A. PinnaFulvio UrsiniStefano ToppoFlavio MeggioStefania SarnoMatilde Maiorino
- Journals
- Free Radical Biology and Medicine (7 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (5 papers)PLoS ONE (5 papers)
- Partner nations
- ItalyUnited StatesPoland
In The Last Decade
Giorgio Cozza
87 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.9k
- Computational Theory and Mathematics 602
- Toxicology 121
- Cancer Research 516
- Organic Chemistry 691
Countries citing papers authored by Giorgio Cozza
This map shows the geographic impact of Giorgio Cozza'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 Giorgio Cozza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Cozza more than expected).
Fields of papers citing papers by Giorgio Cozza
This network shows the impact of papers produced by Giorgio Cozza. 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 Giorgio Cozza. The network helps show where Giorgio Cozza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giorgio Cozza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 22 | |
| 11 | Insight into the mechanism of ferroptosis inhibition by ferrostatin-1breakdown → | 2019 | 660 |
| 12 | 2018 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2011 | 6 | |
| 15 | 2011 | 30 | |
| 16 | 2010 | 184 | |
| 17 | 2009 | 10 | |
| 18 | 2009 | 52 | |
| 19 | 2009 | 31 | |
| 20 | 2006 | 115 |
About Giorgio Cozza
Giorgio Cozza is a scholar working on Molecular Biology, Cell Biology, Toxicology, Genetics and Applied Microbiology and Biotechnology, having authored 88 papers that have together received 4.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (24 papers), Redox biology and oxidative stress (7 papers), Computational Drug Discovery Methods (7 papers), Ferroptosis and cancer prognosis (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer Mechanisms and Therapy (5 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Computational Theory and Mathematics (602 citations), Toxicology (121 citations), Cancer Research (516 citations) and Organic Chemistry (691 citations). Giorgio Cozza has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Stefano Moro, Santiago Vilar, Lorenzo A. Pinna, Fulvio Ursini, Stefano Toppo, Flavio Meggio, Stefania Sarno, Matilde Maiorino, Antonella Roveri and Valentina Bosello Travain. Their work appears in journals such as Free Radical Biology and Medicine, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, PLoS ONE, FEBS Journal and Biochemistry.
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.