Paula Jorge

602 total citations
31 papers, 278 citations indexed

About

Paula Jorge is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Paula Jorge has authored 31 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Genetics and 5 papers in Cognitive Neuroscience. Recurrent topics in Paula Jorge's work include Genetics and Neurodevelopmental Disorders (14 papers), Genomic variations and chromosomal abnormalities (7 papers) and Congenital heart defects research (6 papers). Paula Jorge is often cited by papers focused on Genetics and Neurodevelopmental Disorders (14 papers), Genomic variations and chromosomal abnormalities (7 papers) and Congenital heart defects research (6 papers). Paula Jorge collaborates with scholars based in Portugal, Netherlands and United Kingdom. Paula Jorge's co-authors include Rosário Santos, Nathalie Cartier, Pierre Bougnères, Jacqueline Lopez, M. O. Rolland, Jean‐Louis Mandel, Arjan P.M. de Brouwer, Manuel Melo Pires, F. Rocchiccioli and Jean Mosser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Paula Jorge

29 papers receiving 272 citations

Peers

Paula Jorge

GENET

EDM

PHYSI

Silvia Masnada Italy

Kristien Verhaert Belgium

David Meili Switzerland

Eva Feráková Slovakia

Anaïs Thouin United Kingdom

Patricia Mármol Sweden

Lauren C. Briere United States

Julian Schubert Germany

Damien Maréchal France

Silvia Masnada Italy

Paula Jorge

99 ×0.5

49 ×0.5

GENET

80 ×1.3

52 ×1.0

EDM

87 ×1.7

PHYSI

Citations per year, relative to Paula Jorge Paula Jorge (= 1×) peers Silvia Masnada

Countries citing papers authored by Paula Jorge

Since Specialization

Citations

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

Fields of papers citing papers by Paula Jorge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Jorge

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

All Works

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20 of 20 papers shown

Bernardino, Raquel L., Paula Jorge, Alberto Barros, et al.. (2025). A novel CFTR-AQP7 protein complex regulates glycerol transport and motility of human sperm. Human Reproduction. 40(12). 2218–2230.

Jorge, Paula, et al.. (2024). Challenges in classifying human chromosomal heteromorphisms using banding cytogenetics: From controversial guidelines to the need for a universal scoring system. Human Genome Variation. 11(1). 38–38. 1 indexed citations

Yrigollen, Carolyn M., Flora Tassone, Olatz Villate, et al.. (2024). FMR1 allelic complexity in premutation carriers provides no evidence for a correlation with age at amenorrhea. Reproductive Biology and Endocrinology. 22(1). 71–71. 1 indexed citations

Costa, Solange, Daniela Sousa, Rita D. Brandão, et al.. (2024). Cumulus cell DNA damage linked to fertilization success in females with an ovulatory dysfunction phenotype. Frontiers in Cell and Developmental Biology. 12. 1448733–1448733.

Gonçalves, Ana, et al.. (2022). Use of the FMR1 Gene Methylation Status to Assess the X-Chromosome Inactivation Pattern: A Stepwise Analysis. Genes. 13(3). 419–419. 1 indexed citations

Santos, Rosário, et al.. (2021). Can the Synergic Contribution of Multigenic Variants Explain the Clinical and Cellular Phenotypes of a Neurodevelopmental Disorder?. Genes. 13(1). 78–78. 1 indexed citations

Silva, Cecília, et al.. (2021). Development and validation in 500 female samples of a TP-PCR assay to identify AFF2 GCC expansions. Scientific Reports. 11(1). 14676–14676. 1 indexed citations

Pires, Manuel Melo, et al.. (2021). Intellectual disability genomics: current state, pitfalls and future challenges. BMC Genomics. 22(1). 909–909. 44 indexed citations

Gallagher, Louise, Severin Rakić, Paula Jorge, et al.. (2020). Rare Pathogenic Copy Number Variation in the 16p11.2 (BP4–BP5) Region Associated with Neurodevelopmental and Neuropsychiatric Disorders: A Review of the Literature. International Journal of Environmental Research and Public Health. 17(24). 9253–9253. 4 indexed citations

10.

Fortuna, Ana María, Ana Gonçalves, Rosário Santos, et al.. (2020). Usher syndrome and Nebulin‐associated myopathy in a single patient due to variants in MYO7A and NEB. SHILAP Revista de lepidopterología. 8(12). 2476–2482. 1 indexed citations

11.

Soares, Gabriela, Cecília Silva, Rosário Santos, et al.. (2020). Two Compound Heterozygous Variants in SNX14 Cause Stereotypies and Dystonia in Autosomal Recessive Spinocerebellar Ataxia 20. Frontiers in Genetics. 11. 1038–1038. 3 indexed citations

12.

Santos, Rosário, et al.. (2020). Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations. Frontiers in Genetics. 11. 557147–557147. 2 indexed citations

13.

Jorge, Paula, Ana Gonçalves, Gabriela Soares, et al.. (2018). Classical fragile-X phenotype in a female infant disclosed by comprehensive genomic studies. BMC Medical Genetics. 19(1). 74–74. 6 indexed citations

14.

Carvalho, Rui, et al.. (2018). Gordon Holmes syndrome due to compound heterozygosity of two new PNPLA6 variants – A diagnostic challenge. eNeurologicalSci. 14. 9–12. 9 indexed citations

15.

Jorge, Paula, et al.. (2014). A 26-Year Experience in Chorionic Villus Sampling Prenatal Genetic Diagnosis. Journal of Clinical Medicine. 3(3). 838–848. 3 indexed citations

16.

Nogueira, António J.A., et al.. (2011). Statistical Approach to Prenatal Zygosity Assessment Following a Decade of Molecular Aneuploidy Screening. Twin Research and Human Genetics. 14(3). 221–227. 2 indexed citations

17.

Seixas, Ana I., José Vale, Paula Jorge, et al.. (2011). FXTAS is rare among Portuguese patients with movement disorders: FMR1 premutations may be associated with a wider spectrum of phenotypes. Behavioral and Brain Functions. 7(1). 19–19. 7 indexed citations

18.

Jorge, Paula, et al.. (2009). Análisis del programa de detección precoz de la hipoacusia neonatal en nuestro centro. Acta pediátrica española. 67(2). 69–73. 1 indexed citations

19.

Jorge, Paula, Pedro Brites, António Nogueira, & Patrick Aubourg. (1996). Mutational Analysis of an X‐Linked Adrenoleukodystrophy (ALD) Patient with Detectable ALD Protein^a. Annals of the New York Academy of Sciences. 804(1). 756–759. 1 indexed citations

20.

Jorge, Paula, Dulce Quelhas, Pedro Oliveira, Rui Pinto, & António Nogueira. (1994). X-linked adrenoleukodystrophy in patients with idiopathic addison disease. European Journal of Pediatrics. 153(8). 594–597. 25 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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