Flavia Paula

1.1k total citations
51 papers, 685 citations indexed

About

Flavia Paula is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Flavia Paula has authored 51 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Physiology. Recurrent topics in Flavia Paula's work include Muscle Physiology and Disorders (7 papers), Alzheimer's disease research and treatments (6 papers) and Connective tissue disorders research (5 papers). Flavia Paula is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Alzheimer's disease research and treatments (6 papers) and Connective tissue disorders research (5 papers). Flavia Paula collaborates with scholars based in Brazil, United States and United Kingdom. Flavia Paula's co-authors include Mayana Zatz, Mariz Vainzof, Alessandra Starling, Rita de Cássia M. Pavanello, Vincenzo Nigro, Maria Rita Passos‐Bueno, Renato Lírio Morelato, Iúri Drumond Louro, Louise V.B. Anderson and Sérgio Russo Matioli and has published in prestigious journals such as Scientific Reports, The American Journal of Human Genetics and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Flavia Paula

44 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flavia Paula Brazil 14 460 181 135 126 102 51 685
Fabiana Fattori Italy 15 550 1.2× 173 1.0× 88 0.7× 45 0.4× 59 0.6× 47 691
Koji Ikezoe Japan 13 389 0.8× 277 1.5× 122 0.9× 202 1.6× 45 0.4× 28 822
Yongshan Mou United States 15 641 1.4× 119 0.7× 49 0.4× 85 0.7× 57 0.6× 21 959
E. Pennisi Italy 16 308 0.7× 153 0.8× 53 0.4× 174 1.4× 49 0.5× 41 667
Rachel E. Thomson United States 12 704 1.5× 88 0.5× 138 1.0× 287 2.3× 152 1.5× 16 902
Adriana Rebelo United States 16 524 1.1× 257 1.4× 118 0.9× 122 1.0× 86 0.8× 34 830
Fabio Acquaviva Italy 17 592 1.3× 382 2.1× 122 0.9× 92 0.7× 197 1.9× 25 842
Alfredo Csibi France 10 858 1.9× 103 0.6× 249 1.8× 362 2.9× 63 0.6× 12 1.1k
Shen-Xing Murong China 13 348 0.8× 170 0.9× 46 0.3× 29 0.2× 218 2.1× 30 774
Mary‐Alice Abbott United States 9 180 0.4× 106 0.6× 51 0.4× 192 1.5× 86 0.8× 19 516

Countries citing papers authored by Flavia Paula

Since Specialization
Citations

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

Fields of papers citing papers by Flavia Paula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavia Paula

This figure shows the co-authorship network connecting the top 25 collaborators of Flavia Paula. A scholar is included among the top collaborators of Flavia Paula 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 Flavia Paula. Flavia Paula 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.
3.
Meira, Débora Dummer, et al.. (2024). Identification of Neuroregenerative Protein Networks. Brazilian Archives of Biology and Technology. 67.
4.
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.
5.
Meira, Débora Dummer, et al.. (2023). Translational Bioinformatics Applied to the Study of Complex Diseases. Genes. 14(2). 419–419. 7 indexed citations
6.
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
7.
Morelato, Renato Lírio, et al.. (2020). Positive association of a Sirt1 variant and parameters of oxidative stress on Alzheimer’s disease. Neurological Sciences. 42(5). 1843–1851. 10 indexed citations
8.
Marchi, Pedro De, Gustavo Nóriz Berardinelli, Flavia Paula, et al.. (2019). EP1.04-11 Frequency of Microsatellite Instability (MSI) in Brazilian TKI Non-Treatable Non-Small Cell Lung Cancer (NSCLC) Patients. Journal of Thoracic Oncology. 14(10). S973–S973. 3 indexed citations
9.
Paula, Flavia, et al.. (2018). Updated Meta-Analysis of BIN1, CR1, MS4A6A, CLU, and ABCA7 Variants in Alzheimer’s Disease. Journal of Molecular Neuroscience. 64(3). 471–477. 35 indexed citations
10.
Leal, Marcos André Soares, et al.. (2017). In vivo antimutagenic and antiatherogenic effects of the (1 → 3)(1 → 6)-β-d- glucan botryosphaeran. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 826. 6–14. 15 indexed citations
11.
Stur, Elaine, Lidiane Pignaton Agostini, Marcos Brasilino de Carvalho, et al.. (2015). Prognostic significance of head and neck squamous cell carcinoma repair gene polymorphism. Genetics and Molecular Research. 14(4). 12446–12454. 6 indexed citations
12.
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
13.
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
14.
Malta, Frederico Scott Varella, et al.. (2010). Genetic analysis of 15 autosomal and 12 Y-STR loci in the Espirito Santo State population, Brazil. Forensic Science International Genetics. 5(3). e41–e43. 5 indexed citations
15.
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
16.
Paula, Flavia, et al.. (2008). Molecular analysis of spinocerebellar ataxia trinucleotide repeat behavior in normal individuals of a Brazilian population. Journal of the Neurological Sciences. 269(1-2). 113–117. 2 indexed citations
17.
Carvalho, Filomena Marino, et al.. (2007). Analysis of Factor VIII polymorphic markers as a means for carrier detection in Brazilian families with haemophilia A. Haemophilia. 13(4). 409–412. 7 indexed citations
18.
Frosk, Patrick, Cheryl R. Greenberg, Ryan E. Lamont, et al.. (2004). The most common mutation inFKRP causing limb girdle muscular dystrophy type 2I (LGMD2I) may have occurred only once and is present in Hutterites and other populations. Human Mutation. 25(1). 38–44. 53 indexed citations
19.
Zatz, Mayana, Flavia Paula, Alessandra Starling, & Mariz Vainzof. (2003). The 10 autosomal recessive limb-girdle muscular dystrophies. Neuromuscular Disorders. 13(7-8). 532–544. 101 indexed citations
20.
Paula, Flavia, et al.. (2001). Novel dysferlin mutations in Brazilian LGMD2B patients. The American Journal of Human Genetics. 2 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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