Isaura Ribeiro

693 total citations
17 papers, 436 citations indexed

About

Isaura Ribeiro is a scholar working on Physiology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Isaura Ribeiro has authored 17 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 7 papers in Organic Chemistry and 4 papers in Epidemiology. Recurrent topics in Isaura Ribeiro's work include Lysosomal Storage Disorders Research (9 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). Isaura Ribeiro is often cited by papers focused on Lysosomal Storage Disorders Research (9 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). Isaura Ribeiro collaborates with scholars based in Portugal, Brazil and France. Isaura Ribeiro's co-authors include Olga Amaral, Ana Marcão, Clara Sá-Miranda, Rui Pinto, Lúcia Lacerda, G. Ribeiro, Eugénia Pinto, Manuela Nascimento de Lemos, Helena Ribeiro and Sónia Rocha and has published in prestigious journals such as International Journal of Molecular Sciences, Archives of Biochemistry and Biophysics and Human Genetics.

In The Last Decade

Isaura Ribeiro

15 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isaura Ribeiro Portugal 9 343 136 117 96 95 17 436
Linda Berná Czechia 10 361 1.1× 152 1.1× 96 0.8× 107 1.1× 46 0.5× 11 420
Jessica de Ruijter Netherlands 8 333 1.0× 162 1.2× 64 0.5× 99 1.0× 91 1.0× 11 405
Hadhami Ben Turkia Tunisia 13 417 1.2× 151 1.1× 151 1.3× 153 1.6× 53 0.6× 46 524
Kristiane Michelin‐Tirelli Brazil 11 288 0.8× 123 0.9× 83 0.7× 88 0.9× 43 0.5× 23 347
Dyane Auclair Australia 10 339 1.0× 155 1.1× 53 0.5× 75 0.8× 89 0.9× 13 385
Sylvie Duthel France 6 278 0.8× 50 0.4× 102 0.9× 50 0.5× 56 0.6× 9 352
Alessandra Zanetti Italy 13 337 1.0× 165 1.2× 57 0.5× 87 0.9× 89 0.9× 22 419
A. G. A. Bijvoet Netherlands 9 443 1.3× 104 0.8× 124 1.1× 57 0.6× 327 3.4× 10 566
Ya. V. Voznyi Russia 12 592 1.7× 248 1.8× 140 1.2× 171 1.8× 105 1.1× 19 685
Karen M. Ashe United States 8 308 0.9× 122 0.9× 87 0.7× 122 1.3× 50 0.5× 9 390

Countries citing papers authored by Isaura Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Isaura Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaura Ribeiro

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

All Works

17 of 17 papers shown
1.
Monfregola, Jlenia, Isaura Ribeiro, Luciana Moreira, et al.. (2024). Investigating p.Ala1035Val in NPC1: New Cellular Models for Niemann–Pick Type C Disease. International Journal of Molecular Sciences. 25(22). 12186–12186.
2.
Encarnação, Marisa, et al.. (2023). Challenges in the Definitive Diagnosis of Niemann–Pick Type C—Leaky Variants and Alternative Transcripts. Genes. 14(11). 1990–1990. 1 indexed citations
4.
Silva, Jorge Diogo Da, Isaura Ribeiro, Eugénia Pinto, et al.. (2023). Impact of Structural GLA Protein Changes on Peripheral GLA Activity and Substrate Accumulation in Fabry Disease Patients. Endocrine Metabolic & Immune Disorders - Drug Targets. 24(16). 3–3. 1 indexed citations
5.
Laranjeira, Francisco, Isaura Ribeiro, Eugénia Pinto, et al.. (2022). Maturity-onset diabetes of the young in a large Portuguese cohort. Acta Diabetologica. 60(1). 83–91.
6.
Laranjeira, Francisco, et al.. (2021). Dorfman-Chanarin Syndrome: A Rare Cause of Metabolic Associated Fatty Liver Disease Related to Homozygosity of the Nonsense Mutation c.934C>T (p.R312*). GE Portuguese Journal of Gastroenterology. 29(4). 284–290. 1 indexed citations
7.
Encarnação, Marisa, Maria Francisca Coutinho, Isaura Ribeiro, et al.. (2020). NPC1 silent variant induces skipping of exon 11 (p.V562V) and unfolded protein response was found in a specific Niemann‐Pick type C patient. Molecular Genetics & Genomic Medicine. 8(11). e1451–e1451. 12 indexed citations
8.
Laranjeira, Francisco, et al.. (2019). Genotype‐phenotype correlations and BH4 estimated responsiveness in patients with phenylketonuria from Rio de Janeiro, Southeast Brazil. Molecular Genetics & Genomic Medicine. 7(5). e610–e610. 8 indexed citations
9.
Laranjeira, Francisco, et al.. (2018). Mutation analysis of the PAH gene in phenylketonuria patients from Rio de Janeiro, Southeast Brazil. Molecular Genetics & Genomic Medicine. 6(4). 575–591. 13 indexed citations
10.
Coutinho, Maria Francisca, et al.. (2017). Update of the spectrum of mucopolysaccharidoses type III in Tunisia: identification of three novel mutations and in silico structural analysis of the missense mutations. World Journal of Pediatrics. 13(4). 374–380. 10 indexed citations
11.
Laranjeira, Francisco, Isaura Ribeiro, Elisabete Silva, et al.. (2016). FABRY DISEASE IN PORTUGAL – INSIGHTS FROM THE MALE PATIENTS. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 25. 13–13. 1 indexed citations
12.
Rocha, Júlio César, Manuela Almeida, Esmeralda Martins, et al.. (2015). Infantile Refsum Disease: Influence of Dietary Treatment on Plasma Phytanic Acid Levels. JIMD Reports. 26. 53–60. 6 indexed citations
13.
Ribeiro, Isaura, et al.. (2013). Molecular basis of acid ceramidase deficiency in a neonatal form of Farber disease: Identification of the first large deletion in ASAH1 gene. Molecular Genetics and Metabolism. 109(3). 276–281. 18 indexed citations
14.
Pinto, Eugénia, et al.. (2011). Unverricht–Lundborg disease: Homozygosity for a new splicing mutation in the cystatin B gene. Epilepsy Research. 99(1-2). 187–190. 10 indexed citations
15.
Lopes‐Lima, Manuel, Isaura Ribeiro, Rui Pinto, & Jorge Machado. (2005). Isolation, purification and characterization of glycosaminoglycans in the fluids of the mollusc Anodonta cygnea. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 141(3). 319–326. 29 indexed citations
16.
Pinto, Rui, Manuela Nascimento de Lemos, Lurdes Lopes, et al.. (2003). Prevalence of lysosomal storage diseases in Portugal. European Journal of Human Genetics. 12(2). 87–92. 243 indexed citations
17.
Ribeiro, Isaura, Ana Marcão, Olga Amaral, et al.. (2001). Niemann-Pick type C disease: NPC1 mutations associated with severe and mild cellular cholesterol trafficking alterations. Human Genetics. 109(1). 24–32. 80 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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