Iúri Drumond Louro

2.2k total citations
103 papers, 1.5k citations indexed

About

Iúri Drumond Louro is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Iúri Drumond Louro has authored 103 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 19 papers in Genetics and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Iúri Drumond Louro's work include Cancer-related gene regulation (10 papers), Epigenetics and DNA Methylation (10 papers) and RNA modifications and cancer (8 papers). Iúri Drumond Louro is often cited by papers focused on Cancer-related gene regulation (10 papers), Epigenetics and DNA Methylation (10 papers) and RNA modifications and cancer (8 papers). Iúri Drumond Louro collaborates with scholars based in Brazil, United States and Portugal. Iúri Drumond Louro's co-authors include J. Michael Ruppert, Elaine Stur, Raquel Spinassé Dettogni, Susan M. Lobo-Ruppert, Lidiane Pignaton Agostini, K. Wade Foster, Adriana Madeira Álvares da Silva, Xingnan Li, Marcos Brasilino de Carvalho and Marcelo dos Santos and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Iúri Drumond Louro

89 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Iúri Drumond Louro Brazil 21 890 278 187 173 132 103 1.5k
Tony Kwan Canada 25 1.4k 1.6× 561 2.0× 260 1.4× 264 1.5× 54 0.4× 51 2.6k
Zhiyong Qiu China 22 843 0.9× 162 0.6× 49 0.3× 163 0.9× 62 0.5× 67 1.7k
Massimo Venditti Italy 27 596 0.7× 191 0.7× 115 0.6× 406 2.3× 198 1.5× 87 2.4k
Pèter Németh Hungary 26 439 0.5× 158 0.6× 68 0.4× 124 0.7× 42 0.3× 114 1.8k
Gloría Ribas Spain 30 1000 1.1× 562 2.0× 528 2.8× 406 2.3× 116 0.9× 83 2.5k
Dan Liang China 19 1.6k 1.8× 377 1.4× 149 0.8× 203 1.2× 21 0.2× 65 2.4k
Xiaoyan Du China 23 673 0.8× 131 0.5× 189 1.0× 257 1.5× 20 0.2× 103 1.8k
Michelle Li United States 20 522 0.6× 169 0.6× 106 0.6× 86 0.5× 30 0.2× 33 1.7k
Francesca Ietta Italy 27 361 0.4× 129 0.5× 236 1.3× 105 0.6× 62 0.5× 72 2.3k
Michael C. Golding United States 23 1.6k 1.8× 418 1.5× 389 2.1× 101 0.6× 33 0.3× 63 2.2k

Countries citing papers authored by Iúri Drumond Louro

Since Specialization
Citations

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

Fields of papers citing papers by Iúri Drumond Louro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iúri Drumond Louro. 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 Iúri Drumond Louro. The network helps show where Iúri Drumond Louro may publish in the future.

Co-authorship network of co-authors of Iúri Drumond Louro

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

All Works

20 of 20 papers shown
1.
Araújo, Bruno Cancian de, et al.. (2025). Glyphosate-based herbicide as a potential risk factor for breast cancer. Food and Chemical Toxicology. 200. 115404–115404. 1 indexed citations
2.
Meira, Débora Dummer, et al.. (2025). Prótese Bucomaxilofacial como Alternativa Reabilitadora na Comunicação Buconasal: Relato de Caso. Revista Brasileira de Cancerologia. 71(3).
3.
Louro, Iúri Drumond, et al.. (2024). BIOTECHNOLOGY AND GENETIC ENGINEERING: CURRENT ADVANCEMENTS, EMERGING CHALLENGES, AND FUTURE HORIZONS IN MODERN SCIENCE. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218. 5(2). e524797–e524797.
4.
Vicente, Creuza Rachel, Crispim Cerutti, Angélica Espinosa Miranda, et al.. (2024). Factors Associated with Chronic Chikungunya in Vitória, Espírito Santo State, Brazil, Between 2016 and 2020. Viruses. 16(11). 1679–1679.
5.
Louro, Iúri Drumond, et al.. (2024). ADVANCES IN BIOTECHNOLOGY FOR CELLULAR AND TISSUE REGENERATION: CHALLENGES AND PERSPECTIVES IN HUMAN DISEASE TREATMENT. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218. 5(3). e534956–e534956.
6.
Meira, Débora Dummer, et al.. (2024). Identification of Neuroregenerative Protein Networks. Brazilian Archives of Biology and Technology. 67.
7.
Barbosa, Karen Ruth Michio, et al.. (2024). ANÁLISE DE GENES DIFERENCIALMENTE EXPRESSOS EM AMOSTRAS DE CÂNCER DE MAMA DO SEQUENCE READ ARCHIVE (SRA). RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218. 5(3). e534955–e534955.
8.
9.
Meira, Débora Dummer, Bruno Cancian de Araújo, Flavia Paula, et al.. (2023). Computational Biology Helps Understand How Polyploid Giant Cancer Cells Drive Tumor Success. Genes. 14(4). 801–801. 15 indexed citations
10.
Cavalcanti, Pablo G., et al.. (2023). Genética humana e molecular: um olhar multidisciplinar.
11.
Louro, Iúri Drumond, et al.. (2022). Regeneração de corpo inteiro (WBR) e suas potenciais aplicações na saúde humana: uma revisão da literatura. 3(4 Edição Especial). 459–465.
12.
Batista, Ríbrio Ivan Tavares Pereira, et al.. (2022). Inhibition of Hsp90 during in vitro maturation under thermoneutral or heat shock conditions compromises the developmental competence of bovine oocytes. Zygote. 30(6). 854–862. 2 indexed citations
13.
Hollais, A.W., et al.. (2021). Food and nutritional insecurity is associated with depressive symptoms mediated by NR3C1 gene promoter 1F methylation. Stress. 24(6). 814–821. 9 indexed citations
14.
15.
Trivilin, Leonardo Oliveira, Elaine Stur, Lidiane Pignaton Agostini, et al.. (2018). PAI‐1, CAIX, and VEGFA expressions as prognosis markers in oral squamous cell carcinoma. Journal of Oral Pathology and Medicine. 47(6). 566–574. 31 indexed citations
16.
Agostini, Lidiane Pignaton, Elaine Stur, Raquel Spinassé Dettogni, et al.. (2017). ATM , BCL2 , and TGFβ Gene Polymorphisms as Radiotherapy Outcome Biomarkers in Head and Neck Squamous Cell Carcinoma Patients. Genetic Testing and Molecular Biomarkers. 21(12). 727–735. 9 indexed citations
17.
Santos, Marcelo dos, Elaine Stur, Lidiane Pignaton Agostini, et al.. (2013). Genetic Variability of Inflammatory Genes in the Brazilian Population. Genetic Testing and Molecular Biomarkers. 17(11). 844–848. 10 indexed citations
18.
Akel, Ahmad, et al.. (2012). Variable expressivity of osteogenesis imperfecta in a Brazilian family due to p.G1079S mutation in the COL1A1 gene. Genetics and Molecular Research. 11(3). 3246–3255. 6 indexed citations
19.
Stur, Elaine, et al.. (2011). Polymorphism Analysis of MTHFR , Factor II , and Factor V Genes in the Pomeranian Population of Espirito Santo, Brazil. Genetic Testing and Molecular Biomarkers. 16(3). 219–222. 7 indexed citations
20.
Akel, Ahmad, et al.. (2009). A novel COL1A1 gene-splicing mutation (c.1875+1G>C) in a Brazilian patient with osteogenesis imperfecta. Genetics and Molecular Research. 8(1). 173–178. 8 indexed citations

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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