Renata M. Martínez

45 total papers · 1.1k total citations
35 papers, 947 citations indexed

About

Renata M. Martínez is a scholar working on Dermatology, Cell Biology and Biochemistry. According to data from OpenAlex, Renata M. Martínez has authored 35 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Dermatology, 9 papers in Cell Biology and 9 papers in Biochemistry. Recurrent topics in Renata M. Martínez's work include Skin Protection and Aging (20 papers), melanin and skin pigmentation (9 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). Renata M. Martínez is often cited by papers focused on Skin Protection and Aging (20 papers), melanin and skin pigmentation (9 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). Renata M. Martínez collaborates with scholars based in Brazil, United States and Argentina. Renata M. Martínez's co-authors include Rúbia Casagrande, Waldiceu A. Verri, Sandra R. Georgetti, Marcela M. Baracat, Josiane Alessandra Vignoli, Felipe A. Pinho‐Ribeiro, Vinicius S. Steffen, Fabiana T. M. C. Vicentini, Ana C. Zarpelon and Maria José Vieira Fonseca and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecules.

In The Last Decade

Renata M. Martínez

32 papers receiving 931 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Renata M. Martínez 346 197 191 177 132 35 947
Agilan Balupillai 293 0.8× 373 1.9× 227 1.2× 164 0.9× 121 0.9× 32 1.1k
Md Badrul Alam 198 0.6× 322 1.6× 200 1.0× 109 0.6× 120 0.9× 42 890
G. Kanimozhi 235 0.7× 361 1.8× 175 0.9× 148 0.8× 104 0.8× 37 957
Hye Min Park 159 0.5× 418 2.1× 128 0.7× 200 1.1× 85 0.6× 50 1.2k
Jong‐Eun Kim 215 0.6× 455 2.3× 236 1.2× 102 0.6× 90 0.7× 51 1.1k
Anna Kołodziejczak 192 0.6× 166 0.8× 165 0.9× 144 0.8× 57 0.4× 19 815
Jiyoung Bae 217 0.6× 434 2.2× 221 1.2× 64 0.4× 115 0.9× 39 1.2k
Seoungwoo Shin 178 0.5× 378 1.9× 141 0.7× 69 0.4× 132 1.0× 47 902
Nan‐Lin Wu 272 0.8× 291 1.5× 129 0.7× 62 0.4× 72 0.5× 41 883
Huey‐Chun Huang 253 0.7× 301 1.5× 166 0.9× 165 0.9× 316 2.4× 39 1.1k

Countries citing papers authored by Renata M. Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Renata M. Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renata M. Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of Renata M. Martínez. A scholar is included among the top collaborators of Renata M. Martínez 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 Renata M. Martínez. Renata M. Martínez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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