Mafalda Bourbon

4.3k total citations
101 papers, 1.4k citations indexed

About

Mafalda Bourbon is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Mafalda Bourbon has authored 101 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Surgery, 25 papers in Endocrinology, Diabetes and Metabolism and 21 papers in Cancer Research. Recurrent topics in Mafalda Bourbon's work include Lipoproteins and Cardiovascular Health (61 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers) and Cancer, Lipids, and Metabolism (20 papers). Mafalda Bourbon is often cited by papers focused on Lipoproteins and Cardiovascular Health (61 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers) and Cancer, Lipids, and Metabolism (20 papers). Mafalda Bourbon collaborates with scholars based in Portugal, United Kingdom and Mozambique. Mafalda Bourbon's co-authors include Ana Catarina Alves, Ana Margarida Medeiros, Anne K. Soutar, César Martı́n, Joana Rita Chora, Aitor Etxebarria, Helena Cortez‐Pinto, Asier Benito‐Vicente, Sofia Carvalhana and Sónia Silva and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mafalda Bourbon

93 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mafalda Bourbon 934 322 307 271 221 101 1.4k
Martine Paquette 721 0.8× 495 1.5× 287 0.9× 428 1.6× 81 0.4× 74 1.2k
Livia Pisciotta 1.4k 1.4× 721 2.2× 431 1.4× 566 2.1× 140 0.6× 105 2.3k
Laurens F. Reeskamp 907 1.0× 416 1.3× 335 1.1× 531 2.0× 101 0.5× 65 1.4k
Adam D. McIntyre 745 0.8× 493 1.5× 293 1.0× 678 2.5× 114 0.5× 63 1.6k
Masahiro Koseki 468 0.5× 371 1.2× 139 0.5× 283 1.0× 73 0.3× 62 1.3k
Patrick M. Moriarty 1.3k 1.4× 349 1.1× 282 0.9× 394 1.5× 88 0.4× 40 1.7k
Mario Maioli 658 0.7× 429 1.3× 223 0.7× 333 1.2× 57 0.3× 34 1.6k
Matthew R. Ban 803 0.9× 525 1.6× 302 1.0× 634 2.3× 102 0.5× 44 1.7k
K Kozaki 648 0.7× 211 0.7× 116 0.4× 282 1.0× 60 0.3× 59 1.5k

Countries citing papers authored by Mafalda Bourbon

Since Specialization
Citations

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

Fields of papers citing papers by Mafalda Bourbon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mafalda Bourbon

This figure shows the co-authorship network connecting the top 25 collaborators of Mafalda Bourbon. A scholar is included among the top collaborators of Mafalda Bourbon 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 Mafalda Bourbon. Mafalda Bourbon 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.
Loja, Tomáš, Lenka Fajkusová, Ana Catarina Alves, et al.. (2025). Functional characterization of 16 variants found in the LDL receptor gene. Journal of Lipid Research. 66(9). 100873–100873.
2.
Rossi, Niccolò, Najeeb Syed, Alessia Visconti, et al.. (2024). Rare variants at KCNJ2 are associated with LDL-cholesterol levels in a cross-population study. npj Genomic Medicine. 9(1). 36–36.
3.
Heras, Javier de las, Javier Blasco‐Alonso, Mafalda Bourbon, et al.. (2024). Practical Recommendations for the Diagnosis and Management of Lysosomal Acid Lipase Deficiency with a Focus on Wolman Disease. Nutrients. 16(24). 4309–4309. 3 indexed citations
4.
Pacheco, Rita, et al.. (2023). The Hypocholesterolemic Potential of the Edible Algae Fucus vesiculosus: Proteomic and Quantitative PCR Analysis. Foods. 12(14). 2758–2758. 6 indexed citations
5.
Alves, Ana Catarina, Joana Rita Chora, Hernán A. González Rojas, et al.. (2023). Sitosterolemia in Iberoamerican countries: New cases and phenotype genotype analysis. Atherosclerosis. 379. S26–S27. 1 indexed citations
6.
Latkovskis, Gustavs, et al.. (2023). Genetic Characteristics of Latvian Patients with Familial Hypercholesterolemia: The First Analysis from Genome-Wide Sequencing. Journal of Clinical Medicine. 12(15). 5160–5160.
7.
8.
Pité, Helena, et al.. (2020). Metabolic Dysfunction and Asthma: Current Perspectives. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Carvalhana, Sofia, Ana Paula Silva, Francisco Velasco, et al.. (2020). Prevalence and risk factors of fatty liver in Portuguese adults. European Journal of Clinical Investigation. 50(6). e13235–e13235. 4 indexed citations
10.
Pité, Helena, Judit Morelló, Emília C. Monteiro, et al.. (2020). <p>Metabolic Dysfunction and Asthma: Current Perspectives</p>. Journal of Asthma and Allergy. Volume 13. 237–247. 33 indexed citations
11.
Alves, Ana Catarina, Ana Margarida Medeiros, Joana Rita Chora, et al.. (2019). The familial hypercholesterolaemia phenotype: Monogenic familial hypercholesterolaemia, polygenic hypercholesterolaemia and other causes. Clinical Genetics. 97(3). 457–466. 19 indexed citations
12.
Banerjee, Poulabi, Kuo‐Chen Chan, Asier Benito‐Vicente, et al.. (2019). Functional Analysis of LDLR (Low-Density Lipoprotein Receptor) Variants in Patient Lymphocytes to Assess the Effect of Evinacumab in Homozygous Familial Hypercholesterolemia Patients With a Spectrum of LDLR Activity. Arteriosclerosis Thrombosis and Vascular Biology. 39(11). 2248–2260. 64 indexed citations
13.
Bourbon, Mafalda, Ana Catarina Alves, Rodrigo Alonso, et al.. (2017). Mutational analysis and genotype-phenotype relation in familial hypercholesterolemia: The SAFEHEART registry. Atherosclerosis. 262. 8–13. 46 indexed citations
14.
Chora, Joana Rita, Ana Margarida Medeiros, Ana Catarina Alves, & Mafalda Bourbon. (2017). Analysis of publicly available LDLR, APOB, and PCSK9 variants associated with familial hypercholesterolemia: application of ACMG guidelines and implications for familial hypercholesterolemia diagnosis. Genetics in Medicine. 20(6). 591–598. 85 indexed citations
15.
Alves, Ana Catarina, Sílvia Sequeira, Oana Teodora Moldovan, et al.. (2016). Estudo de dislipidemias familiares monogénicas raras. 52–56. 1 indexed citations
16.
Gaio, Vânia, Baltazar Nunes, Aida Fernandes, et al.. (2015). Pharmacogenetic Profile of a South Portuguese Population: Results from the Pilot Study of the European Health Examination Survey in Portugal. Public Health Genomics. 18(3). 139–150. 3 indexed citations
17.
Antunes, Marília, et al.. (2015). e_LIPID: caraterização do perfil lipídico da população portuguesa. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 7–10. 1 indexed citations
18.
Benito‐Vicente, Asier, et al.. (2015). The importance of an integrated analysis of clinical, molecular, and functional data for the genetic diagnosis of familial hypercholesterolemia. Genetics in Medicine. 17(12). 980–988. 33 indexed citations
19.
Vasconcelos, Carla Maria Lins de, et al.. (2013). Hipercolesterolemia – uma patologia com expressão desde a idade pediátrica. Revista Portuguesa de Cardiologia. 32(5). 379–386. 5 indexed citations
20.
Alves, Ana Catarina, et al.. (2012). To have or not to have familial hypercholesterolaemia, that is the question: genetic and different clinical criteria. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 216(Pt 18). 3414–21. 1 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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