Carla Valongo

449 total citations
8 papers, 219 citations indexed

About

Carla Valongo is a scholar working on Molecular Biology, Clinical Biochemistry and Cell Biology. According to data from OpenAlex, Carla Valongo has authored 8 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Clinical Biochemistry and 3 papers in Cell Biology. Recurrent topics in Carla Valongo's work include Metabolism and Genetic Disorders (4 papers), Biochemical and Molecular Research (3 papers) and Muscle metabolism and nutrition (3 papers). Carla Valongo is often cited by papers focused on Metabolism and Genetic Disorders (4 papers), Biochemical and Molecular Research (3 papers) and Muscle metabolism and nutrition (3 papers). Carla Valongo collaborates with scholars based in Portugal, Netherlands and Italy. Carla Valongo's co-authors include Laura Vilarinho, Gajja S. Salomons, Maria Luı́s Cardoso, Cornelis Jakobs, Nanda M. Verhoeven, Lígia S. Almeida, Birthe Roos, Manuel Vilanova, José A. Ribeiro and Ricardo Mouro Pinto and has published in prestigious journals such as Clinica Chimica Acta, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology and Molecular Genetics and Metabolism.

In The Last Decade

Carla Valongo

8 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carla Valongo Portugal 7 118 107 59 47 39 8 219
Julian Ostrovsky United States 12 44 0.4× 95 0.9× 343 5.8× 11 0.2× 59 1.5× 14 484
Ana Pop Netherlands 10 38 0.3× 77 0.7× 154 2.6× 31 0.7× 29 0.7× 16 270
Roman Vozdek United States 8 42 0.4× 9 0.1× 101 1.7× 39 0.8× 34 0.9× 10 277
Manuela Lavorato United States 9 25 0.2× 24 0.2× 236 4.0× 6 0.1× 40 1.0× 22 321
Marta Migocka-Patrzałek Poland 9 60 0.5× 8 0.1× 149 2.5× 16 0.3× 34 0.9× 21 272
Nandhitha Uma Naresh United States 6 97 0.8× 19 0.2× 266 4.5× 12 0.3× 64 1.6× 7 375
Fenglei Jian China 7 30 0.3× 55 0.5× 233 3.9× 3 0.1× 41 1.1× 8 335
R.N. Lightowlers United Kingdom 11 18 0.2× 280 2.6× 624 10.6× 9 0.2× 68 1.7× 14 723
Tyler Hilsabeck United States 7 12 0.1× 24 0.2× 159 2.7× 14 0.3× 112 2.9× 11 360
Franz Duspiva Germany 8 39 0.3× 16 0.1× 106 1.8× 7 0.1× 33 0.8× 18 252

Countries citing papers authored by Carla Valongo

Since Specialization
Citations

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

Fields of papers citing papers by Carla Valongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Valongo

This figure shows the co-authorship network connecting the top 25 collaborators of Carla Valongo. A scholar is included among the top collaborators of Carla Valongo 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 Carla Valongo. Carla Valongo 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.
Valongo, Carla, et al.. (2019). Deficiencia de glicerolcinasa: una causa metabólica de retraso global del desarrollo. Revista de Neurología. 68(4). 179–179. 2 indexed citations
2.
Nogueira, Célia, et al.. (2016). Molecular picture of cobalamin C/D defects before and after newborn screening era. Journal of Medical Screening. 24(1). 6–11. 12 indexed citations
3.
Nogueira, Célia, Maria Chiara Meschini, Claudia Nesti, et al.. (2014). A Novel SUCLA2 Mutation in a Portuguese Child Associated With “Mild” Methylmalonic Aciduria. Journal of Child Neurology. 30(2). 228–232. 13 indexed citations
4.
Garcia, Paula, et al.. (2011). Phenotypic Variability in a Portuguese Family With X-Linked Creatine Transport Deficiency. Pediatric Neurology. 46(1). 39–41. 7 indexed citations
5.
Vilarinho, Laura, Sandra Tafulo, Michelina Sibilio, et al.. (2009). Identification of novel L2HGDH gene mutations and update of the pathological spectrum. Journal of Human Genetics. 55(1). 55–58. 6 indexed citations
6.
Valongo, Carla, Maria Luı́s Cardoso, Pedro Domíngues, et al.. (2004). Age related reference values for urine creatine and guanidinoacetic acid concentration in children and adolescents by gas chromatography–mass spectrometry. Clinica Chimica Acta. 348(1-2). 155–161. 31 indexed citations
7.
Almeida, Lígia S., Nanda M. Verhoeven, Birthe Roos, et al.. (2004). Creatine and guanidinoacetate: diagnostic markers for inborn errors in creatine biosynthesis and transport. Molecular Genetics and Metabolism. 82(3). 214–219. 106 indexed citations
8.
Ribeiro, José A., Carla Valongo, Ricardo Mouro Pinto, et al.. (2002). Cytometric, morphologic and enzymatic characterisation of haemocytes in Anodonta cygnea. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 132(3). 541–553. 42 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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