Renata Finollo

24 papers receiving 332 citations

Peers

Renata Finollo
Comparison fields: 5 of 76
  • Cancer Research 161
  • Chemical Health and Safety 7
  • Clinical Biochemistry 37
  • Biochemistry 39
  • Health, Toxicology and Mutagenesis 60
Replace Peter Sagelsdorff with:
Peter Sagelsdorff Switzerland
C.G. Rogers Canada
Antony J. Vithayathil United States
K. J. Freundt Germany
Sara C. Lloyd United Kingdom
G. J. Hook United States
Keiji Wakabayashi Japan
Nico J. van Sittert Netherlands
Chi hong B. Chen United States
Stephen J. Rinkus United States
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Countries citing papers authored by Renata Finollo

Since Specialization
Citations

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

Fields of papers citing papers by Renata Finollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198469
2 198539
3 198531
4 198123
5
Dose-response curves for liver DNA fragmentation induced in rats by sixteen N-nitroso compounds as measured by viscometric and alkaline elution analyses.
198723
6 198221
7 198517
8 198517
9 197915
10
Viscometric detection of liver DNA fragmentation in rats treated with minimal doses of chemical carcinogens.
198315
11 198314
12 19849
13 19859
14 19839
15 19908
16 19776
17 19925
18
Lack of DNA fragmentation in rats treated with high oral doses of drugs acting on the central nervous system.
19865
19 19855
20 19873

About Renata Finollo

Renata Finollo is a scholar working on Cancer Research, Molecular Biology, Oncology, Organic Chemistry and Pharmacology, having authored 24 papers that have together received 350 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (10 papers), DNA and Nucleic Acid Chemistry (5 papers), Drug Transport and Resistance Mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), Food Science and Nutritional Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Advanced Glycation End Products research (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Cancer Research (161 citations), Chemical Health and Safety (7 citations), Clinical Biochemistry (37 citations), Biochemistry (39 citations) and Health, Toxicology and Mutagenesis (60 citations). Renata Finollo has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Giovanni Brambilla, Luigi Sciabà, Pia Carlo, Anna Maria Bassi, Margherita Ferro, Umberto M. Marinari, Luigi Robbiano, A. Maura, A. Pino and Silvio Parodi. Their work appears in journals such as Carcinogenesis, Journal of Molecular Biology, Cancer Letters, Journal of Toxicology and Environmental Health and Toxicology and Applied Pharmacology.

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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