Renata Matuo

25 papers receiving 669 citations

Peers

Renata Matuo
Comparison fields: 5 of 92
  • Cancer Research 95
  • Complementary and alternative medicine 52
  • Oncology 162
  • Molecular Biology 308
  • Pharmacology 36
Replace Ji‐Hye Ahn with:
Ji‐Hye Ahn South Korea
Jin‐Nyoung Ho South Korea
Yaxiong Tang China
Kousuke Saoo Japan
Giuseppe Ercolano Italy
Yeong‐In Yang South Korea
Ming‐Ting Lee Taiwan
Sen Lian South Korea
Chien-Chih Yu Taiwan
Zhichao Xi China
Renata Matuo relative to Ji‐Hye Ahn South Korea Ji‐Hye Ahn's profile →
Citations per field
00.5×1.6×
Ji‐Hye Ahn · 1×
Citations per year

Countries citing papers authored by Renata Matuo

Since Specialization
Citations

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

Fields of papers citing papers by Renata Matuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012121
2 200679
3 200661
4 200860
5 200551
6 201542
7 200936
8 201234
9 201531
10 201329
11 200924
12 201422
13 201620
14 200716
15 201612
16 201310
17 20119
18 20076
19 20156
20 20145

About Renata Matuo

Renata Matuo is a scholar working on Molecular Biology, Cancer Research, Oncology, Pharmacology and Pathology and Forensic Medicine, having authored 27 papers that have together received 685 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Carcinogens and Genotoxicity Assessment (4 papers), Fungal Biology and Applications (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Aluminum toxicity and tolerance in plants and animals (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Chemotherapy-induced organ toxicity mitigation (2 papers). The work is most often cited by research in Cancer Research (95 citations), Complementary and alternative medicine (52 citations), Oncology (162 citations), Molecular Biology (308 citations) and Pharmacology (36 citations). Renata Matuo has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Mário Sérgio Mantovani, Rodrigo Juliano Oliveira, Fabrício G. Sousa, Alexandre E. Escargueil, João Antônio Pêgas Henriques, Jenifer Saffi, Lúcia Regina Ribeiro, Daniele G. Soares, Annette K. Larsen and João Renato Pesarini. Their work appears in journals such as Toxicology in Vitro, Environmental Toxicology and Pharmacology, DNA repair, Carcinogenesis and BMC Pharmacology and Toxicology.

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.

Explore authors with similar magnitude of impact