Leonardo Scatolini
- Molecular Biology
- Cancer Research
- Biochemistry top 10%
- Health, Toxicology and Mutagenesis
- Biochemistry top 10%
- Co-authors
- Alberto IzzottiRoumen BalanskyFrancesco D’AgostiniSilvio De FloraAnna CamoiranoCarlo BennicelliMaria BagnascoC. F. Cesarone
- Topics
- Carcinogens and Genotoxicity Assessment (7 papers)DNA Repair Mechanisms (2 papers)Genomics, phytochemicals, and oxidative stress (2 papers)
- Cited by
- Cancer ResearchBiochemistry
- Journals
- CarcinogenesisJournal of Cellular BiochemistryMutation research. Fundamental and molecular mechanisms of mutagenesis
- Partner nations
- ItalyUnited States
In The Last Decade
Leonardo Scatolini
11 papers receiving 372 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 223
- Cancer Research 143
- Biochemistry 52
- Health, Toxicology and Mutagenesis 45
- Biochemistry 41
Countries citing papers authored by Leonardo Scatolini
This map shows the geographic impact of Leonardo Scatolini'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 Leonardo Scatolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Scatolini more than expected).
Fields of papers citing papers by Leonardo Scatolini
This network shows the impact of papers produced by Leonardo Scatolini. 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 Leonardo Scatolini. The network helps show where Leonardo Scatolini may publish in the future.
Co-authorship network of co-authors of Leonardo Scatolini
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Scatolini. A scholar is included among the top collaborators of Leonardo Scatolini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonardo Scatolini. Leonardo Scatolini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | Adducts to nuclear DNA and mitochondrial DNA as biomarkers in chemoprevention. | 19 |
| 3 | Induction by carcinogens and chemoprevention by N-acetylcysteine of adducts to mitochondrial DNA in rat organs. | 77 |
| 4 | 117 | |
| 5 | 30 | |
| 6 | 9 | |
| 7 | 27 | |
| 8 | Chemoprevention of carcinogen-DNA adducts and chronic degenerative diseases. | 35 |
| 9 | 7 | |
| 10 | 37 | |
| 11 | [Chemoprevention of genotoxic damage in lung cells of rats exposed to cigarette smoke]. | 1 |
About Leonardo Scatolini
Leonardo Scatolini is a scholar working on Cancer Research, Biochemistry and Molecular Biology, having authored 11 papers that have together received 386 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), DNA Repair Mechanisms (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Cancer Research (143 citations), Biochemistry (52 citations) and Biochemistry (41 citations). Leonardo Scatolini has collaborated with scholars based in Italy and United States. Frequent co-authors include Alberto Izzotti, Roumen Balansky, Francesco D’Agostini, Silvio De Flora, Silvio De Flora, Anna Camoirano, Carlo Bennicelli, Maria Bagnasco, C. F. Cesarone and Adriana Albini. Their work appears in journals such as Carcinogenesis, Journal of Cellular Biochemistry and Mutation research. Fundamental and molecular mechanisms of mutagenesis.
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.