Assunção Ataíde

959 total citations
8 papers, 691 citations indexed

About

Assunção Ataíde is a scholar working on Cognitive Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Assunção Ataíde has authored 8 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Assunção Ataíde's work include Autism Spectrum Disorder Research (8 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Congenital heart defects research (3 papers). Assunção Ataíde is often cited by papers focused on Autism Spectrum Disorder Research (8 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Congenital heart defects research (3 papers). Assunção Ataíde collaborates with scholars based in Portugal, Brazil and United States. Assunção Ataíde's co-authors include Carla Marques, Guiomar Oliveira, Astrid M. Vicente, Luís Borges, Teresa S. Miguel, Luísa Diogo, Catarina R. Oliveira, Manuela Grazina, Celeste Bento and Catarina Correia and has published in prestigious journals such as Molecular Psychiatry, Journal of Autism and Developmental Disorders and Developmental Medicine & Child Neurology.

In The Last Decade

Assunção Ataíde

8 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Assunção Ataíde Portugal 8 501 433 196 157 55 8 691
Barbara Manzi Italy 13 633 1.3× 516 1.2× 284 1.4× 197 1.3× 57 1.0× 17 979
Simona Trillo Italy 10 648 1.3× 472 1.1× 208 1.1× 212 1.4× 55 1.0× 12 904
Teresa S. Miguel Portugal 9 404 0.8× 358 0.8× 159 0.8× 140 0.9× 81 1.5× 11 597
Catarina Correia Portugal 12 352 0.7× 331 0.8× 173 0.9× 116 0.7× 85 1.5× 18 639
Elli Kempas Finland 10 384 0.8× 477 1.1× 242 1.2× 39 0.2× 64 1.2× 11 706
Dina Manaa United States 2 563 1.1× 501 1.2× 270 1.4× 100 0.6× 21 0.4× 2 793
Corneliu Bodea United States 4 563 1.1× 514 1.2× 284 1.4× 100 0.6× 21 0.4× 5 809
Daniel Moreno‐De‐Luca United States 9 389 0.8× 413 1.0× 179 0.9× 106 0.7× 26 0.5× 16 677
Yosuke Kameno Japan 10 323 0.6× 190 0.4× 133 0.7× 111 0.7× 108 2.0× 22 623
Irena Bukelis United States 9 726 1.4× 754 1.7× 291 1.5× 89 0.6× 37 0.7× 12 975

Countries citing papers authored by Assunção Ataíde

Since Specialization
Citations

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

Fields of papers citing papers by Assunção Ataíde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Assunção Ataíde

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

All Works

8 of 8 papers shown
1.
Oliveira, Guiomar, Assunção Ataíde, Carla Marques, et al.. (2007). Epidemiology of autism spectrum disorder in Portugal: prevalence, clinical characterization, and medical conditions. Developmental Medicine & Child Neurology. 49(10). 726–733. 87 indexed citations
2.
Oliveira, Guiomar, Jinong Feng, Yan Jin, et al.. (2007). MECP2 coding sequence and 3′UTR variation in 172 unrelated autistic patients. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 144B(4). 475–483. 46 indexed citations
3.
Sousa, Inês, Madalena Martins, Catarina Correia, et al.. (2007). Evidence for epistasis between SLC6A4 and ITGB3 in autism etiology and in the determination of platelet serotonin levels. Human Genetics. 121(2). 243–256. 107 indexed citations
4.
Correia, Catarina, Luísa Diogo, Manuela Grazina, et al.. (2006). Brief Report: High Frequency of Biochemical Markers for Mitochondrial Dysfunction in Autism: No Association with the Mitochondrial Aspartate/Glutamate Carrier SLC25A12 Gene. Journal of Autism and Developmental Disorders. 36(8). 1137–1140. 88 indexed citations
5.
Oliveira, Guiomar, Luísa Diogo, Manuela Grazina, et al.. (2005). Mitochondrial dysfunction in autism spectrum disorders: a population-based study. Developmental Medicine & Child Neurology. 47(3). 185–189. 192 indexed citations
6.
Correia, Catarina, Constantin Fesel, Marta Barreto, et al.. (2004). Autoantibody repertoires to brain tissue in autism nuclear families. Journal of Neuroimmunology. 152(1-2). 176–182. 61 indexed citations
7.
Fesel, Constantin, T.R.A. Macedo, Celeste Bento, et al.. (2004). Variants of the serotonin transporter gene (SLC6A4) significantly contribute to hyperserotonemia in autism. Molecular Psychiatry. 9(3). 264–271. 101 indexed citations
8.
Oliveira, Guiomar, Eunice Matoso, Astrid M. Vicente, et al.. (2003). Partial Tetrasomy of Chromosome 3q and Mosaicism in a Child with Autism. Journal of Autism and Developmental Disorders. 33(2). 177–185. 9 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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2026