André Fujita

2.7k total citations
105 papers, 1.8k citations indexed

About

André Fujita is a scholar working on Molecular Biology, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, André Fujita has authored 105 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 22 papers in Cognitive Neuroscience and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in André Fujita's work include Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (23 papers) and Functional Brain Connectivity Studies (22 papers). André Fujita is often cited by papers focused on Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (23 papers) and Functional Brain Connectivity Studies (22 papers). André Fujita collaborates with scholars based in Brazil, Japan and United States. André Fujita's co-authors include João Ricardo Sato, Mari Cleide Sogayar, Carlos Eduardo Ferreira, Daniel Y. Takahashi, Satoru Miyano, Rui Yamaguchi, Alexandre G. Patriota, Carlos Eduardo Thomaz, Miguel Garay-Malpartida and Akinori Nakata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

André Fujita

102 papers receiving 1.7k citations

Peers

André Fujita
Edward Suh United States
John M. Morgan United Kingdom
Sukla Roychowdhury United States
Jiaqi Li China
André Fujita
Citations per year, relative to André Fujita André Fujita (= 1×) peers Pingping Liu

Countries citing papers authored by André Fujita

Since Specialization
Citations

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

Fields of papers citing papers by André Fujita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Fujita

This figure shows the co-authorship network connecting the top 25 collaborators of André Fujita. A scholar is included among the top collaborators of André Fujita 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 André Fujita. André Fujita 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.
Bonham, Kevin S., André Fujita, Maria Rita Passos‐Bueno, et al.. (2025). Exclusive breastfeeding is associated with the gut microbiome maturation in infants according to delivery mode. Gut Microbes. 17(1). 2493900–2493900. 1 indexed citations
2.
Fatori, Daniel, Lísia Maria Gobbo dos Santos, André Fujita, et al.. (2024). Lead contamination in human milk affects infants’ language trajectory: results from a prospective cohort study. Frontiers in Public Health. 12. 1450570–1450570. 2 indexed citations
3.
Farhat, Luís C., George Davey Smith, André Fujita, et al.. (2023). Networks of Neurodevelopmental Traits, Socioenvironmental Factors, Emotional Dysregulation in Childhood, and Depressive Symptoms Across Development in Two U.K. Cohorts. American Journal of Psychiatry. 180(10). 755–765. 1 indexed citations
4.
Fujita, André, et al.. (2022). Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience. 16. 975743–975743. 6 indexed citations
5.
Kinker, Gabriela Sarti, Sandra Márcia Muxel, André Fujita, et al.. (2021). Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers. 4(1). 189–205. 11 indexed citations
6.
Martins, Larissa Almeida, Giuseppe Palmisano, Mauro Cortéz, et al.. (2020). The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells. Parasites & Vectors. 13(1). 603–603. 13 indexed citations
7.
Morais, Guilherme Augusto Zimeo, et al.. (2019). Potential Confounders in the Analysis of Brazilian Adolescent’s Health: A Combination of Machine Learning and Graph Theory. International Journal of Environmental Research and Public Health. 17(1). 90–90. 4 indexed citations
8.
Sato, João Ricardo, et al.. (2017). ANOCVA in R: A Software to Compare Clusters between Groups and Its Application to the Study of Autism Spectrum Disorder. Frontiers in Neuroscience. 11. 16–16. 6 indexed citations
9.
Kinker, Gabriela Sarti, et al.. (2016). Deletion and low expression of NFKBIA are associated with poor prognosis in lower-grade glioma patients. Scientific Reports. 6(1). 24160–24160. 12 indexed citations
10.
Fujita, André, Fábio Bagnoli, Vilmar Marques de Oliveira, et al.. (2015). Expression of Glypican-3 (GPC3) in Malignant and Non-malignant Human Breast Tissues. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 8(1). 12–23. 7 indexed citations
11.
Gomes, Luciana Rodrigues, André Fujita, Joni D. Mott, et al.. (2015). RECK is not an independent prognostic marker for breast cancer. BMC Cancer. 15(1). 660–660. 10 indexed citations
12.
Sato, João Ricardo, Daniel Y. Takahashi, Marcelo Q. Hoexter, Katlin B. Massirer, & André Fujita. (2013). Measuring network's entropy in ADHD: A new approach to investigate neuropsychiatric disorders. NeuroImage. 77. 44–51. 35 indexed citations
13.
Halcsik, Erik, Maria Fernanda Forni, André Fujita, et al.. (2013). New insights in osteogenic differentiation revealed by mass spectrometric assessment of phosphorylated substrates in murine skin mesenchymal cells. BMC Cell Biology. 14(1). 47–47. 11 indexed citations
14.
Kojima, Kaname, Seiya Imoto, Rui Yamaguchi, et al.. (2012). Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genomics. 13(S1). S6–S6. 3 indexed citations
15.
Fujita, André, João Ricardo Sato, Marcos Angelo Almeida Demasi, et al.. (2010). Inferring Contagion in Regulatory Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 570–576. 1 indexed citations
16.
Sato, João Ricardo, André Fujita, Ellison Fernando Cardoso, et al.. (2010). Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for fMRI data analysis. NeuroImage. 52(4). 1444–1455. 39 indexed citations
17.
Fujita, André, Kaname Kojima, Alexandre G. Patriota, et al.. (2010). A fast and robust statistical test based on likelihood ratio with Bartlett correction to identify Granger causality between gene sets. Bioinformatics. 26(18). 2349–2351. 15 indexed citations
18.
Fujita, André, Alexandre G. Patriota, João Ricardo Sato, & Satoru Miyano. (2009). The impact of measurement errors in the identification of regulatory networks. BMC Bioinformatics. 10(1). 412–412. 9 indexed citations
19.
Shimamura, Teppei, Seiya Imoto, Rui Yamaguchi, et al.. (2009). Recursive regularization for inferring gene networks from time-course gene expression profiles. BMC Systems Biology. 3(1). 41–41. 37 indexed citations
20.
Fujita, André, João Ricardo Sato, Carlos Eduardo Ferreira, & Mari Cleide Sogayar. (2007). GEDI: a user-friendly toolbox for analysis of large-scale gene expression data. BMC Bioinformatics. 8(1). 457–457. 10 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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