Monia Lenzi

1.2k citations
42 papers · 940 indexed · h-index 19

Monia Lenzi

41 papers receiving 927 citations

Peers

Monia Lenzi
Comparison fields: 5 of 98
  • Toxicology 80
  • Biochemistry 92
  • Applied Microbiology and Biotechnology 17
  • Molecular Biology 569
  • Pharmacology 54
Replace Raghavendra S. Patwardhan with:
Raghavendra S. Patwardhan India
Karen L. Lew United States
Yueyang Zhou China
Hong‐Zin Lee Taiwan
Min‐Ho Suh South Korea
Young-Sam Keum United States
Melinda C. Myzak United States
Yann Schneider France
Christopher M. Cabello United States
Allan Lançon France
Monia Lenzi relative to Raghavendra S. Patwardhan India Raghavendra S. Patwardhan's profile →
Citations per field
00.5×2.8×
Raghavendra S. Patwardhan · 1×
Citations per year

Countries citing papers authored by Monia Lenzi

Since Specialization
Citations

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

Fields of papers citing papers by Monia Lenzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20231
3 20237
4 20228
5 202022
6 201817
7 201834
8 201718
9 201348
10 20136
11 2013106
12 201218
13 201187
14 201133
15 201054
16 200918
17 200832
18 200858
19
Cell-cycle specificity of sulforaphane-mediated apoptosis in Jurkat T-leukemia cells.
200712
20 200721

About Monia Lenzi

Monia Lenzi is a scholar working on Toxicology, Aging and Biochemistry, having authored 42 papers that have together received 940 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (18 papers), Glutathione Transferases and Polymorphisms (8 papers), Garlic and Onion Studies (7 papers), Carcinogens and Genotoxicity Assessment (7 papers), Forensic Toxicology and Drug Analysis (4 papers), Cannabis and Cannabinoid Research (4 papers), Synthesis and biological activity (3 papers) and Free Radicals and Antioxidants (3 papers). The work is most often cited by research in Toxicology (80 citations), Biochemistry (92 citations) and Applied Microbiology and Biotechnology (17 citations). Monia Lenzi has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Patrizia Hrelia, Carmela Fimognari, Giorgio Cantelli‐Forti, Eleonora Turrini, Lorenzo Ferruzzi, Piero Sestili, Silvana Hrelia, Marco Malaguti, Davide Sciuscio and Matteo Marti. Their work appears in journals such as International Journal of Molecular Sciences, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Pharmaceutics, PLoS ONE and BMC Complementary and Alternative Medicine.

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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