M. Fátima Macedo

592 total citations
30 papers, 404 citations indexed

About

M. Fátima Macedo is a scholar working on Immunology, Hematology and Physiology. According to data from OpenAlex, M. Fátima Macedo has authored 30 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 8 papers in Hematology and 8 papers in Physiology. Recurrent topics in M. Fátima Macedo's work include Immune Cell Function and Interaction (15 papers), Lysosomal Storage Disorders Research (8 papers) and Iron Metabolism and Disorders (5 papers). M. Fátima Macedo is often cited by papers focused on Immune Cell Function and Interaction (15 papers), Lysosomal Storage Disorders Research (8 papers) and Iron Metabolism and Disorders (5 papers). M. Fátima Macedo collaborates with scholars based in Portugal, United States and Germany. M. Fátima Macedo's co-authors include Maria de Sousa, Clara Sá-Miranda, Renée M. Ned, Margarida Correia‐Neves, Nancy C. Andrews, Graça Porto, Olga Azevedo, Ana F. Dias, Helena Ribeiro and Eugénia Cruz and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of Oncology and Frontiers in Immunology.

In The Last Decade

M. Fátima Macedo

29 papers receiving 399 citations

Peers

Countries citing papers authored by M. Fátima Macedo

Since Specialization

Citations

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

Fields of papers citing papers by M. Fátima Macedo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Fátima Macedo. 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 M. Fátima Macedo. The network helps show where M. Fátima Macedo may publish in the future.

Co-authorship network of co-authors of M. Fátima Macedo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	How artificial intelligence can enable personalized mesenchymal stem cell–based therapeutic strategies in systemic lupus erythematosus 2025 ·Frontiers in Immunology ·(unknown), (unknown), Yogeswaran Lokanathan, Anand Gaurav, (unknown), M. Fátima Macedo, Subha Bhassu	0
2	Foxo3 regulates cortical and medullary thymic epithelial cell homeostasis with implications in T cell development 2024 ·Cell Death and Disease ·Camila Ribeiro, (unknown), Jonathan J. M. Landry, M. Fátima Macedo, (unknown), (unknown), Vladimı́r Beneš, Nuno L. Alves	5
3	Leukocyte Imbalances in Mucopolysaccharidoses Patients 2023 ·Biomedicines ·Nuno Vasco Lopes, (unknown), Cátia Santos‐Pereira, (unknown), Esmeralda Martins, (unknown), Ana Gaspar, (unknown), Paula Garcia, (unknown), Esmeralda Rodrigues, Elisa Leão Teles, Roberto Giugliani, Maria Francisca Coutinho, Sandra Alves, M. Fátima Macedo	3
4	Buffy Coat Processing Impacts on Monocytes’ Capacity to Present Lipid Antigens 2023 ·Biomedicines ·(unknown), M. Fátima Macedo	2
5	The Biology of Lysosomes: From Order to Disorder 2023 ·Biomedicines ·Olga Amaral, (unknown), (unknown), (unknown), (unknown), M. Fátima Macedo	18
6	Monocyte antigen-presenting capacity to iNKT cells is influenced by the blood collection conditions 2023 ·Journal of Immunological Methods ·(unknown), Cláudia Benedita dos Santos, M. Fátima Macedo	1
7	Lipid Antigen Presentation by CD1b and CD1d in Lysosomal Storage Disease Patients 2019 ·Frontiers in Immunology ·(unknown), Begoña Pérez‐Cabezas, Helena Ribeiro, (unknown), (unknown), Ana F. Dias, Olga Azevedo, (unknown), Paula Garcia, Esmeralda Rodrigues, Paulo Castro‐Chaves, Esmeralda Martins, (unknown), Mercè Pineda, Yasmina Amraoui, Simona Fecarotta, Elisa Leão Teles, Shenglou Deng, Paul B. Savage, M. Fátima Macedo	11
8	Founder mutations BRCA2 c.156_157insAlu in Portuguese population 2019 ·Annals of Oncology ·M. Fátima Macedo, (unknown), Telma C. Pereira, (unknown), Nuno Bonito, (unknown), (unknown), Maria Mariano, (unknown)	2
9	The GM2 ganglioside inhibits iNKT cell responses in a CD1d-dependent manner 2018 ·Molecular Genetics and Metabolism ·(unknown), Helena Ribeiro, Begoña Pérez‐Cabezas, (unknown), (unknown), Ana Gaspar, Elisa Leão Teles, M. Fátima Macedo	4
10	Leishmania infantum Exoproducts Inhibit Human Invariant NKT Cell Expansion and Activation 2017 ·Frontiers in Immunology ·(unknown), Nuno Santarém, (unknown), Begoña Pérez‐Cabezas, M. Fátima Macedo, Maria Leite‐de‐Moraes, Anabela Cordeiro‐da‐Silva	10
11	Psychosine variants as antigens for natural killer T cells 2016 ·Chemical Science ·Shenglou Deng, Lisa Kain, (unknown), Sara Herrera de la Mata, M. Fátima Macedo, Albert Bendelac, Luc Teyton, Paul B. Savage	6
12	Invariant Natural Killer T Cells are Reduced in Hereditary Hemochromatosis Patients 2014 ·Journal of Clinical Immunology ·(unknown), (unknown), (unknown), (unknown), Mark A. Exley, Graça Porto, M. Fátima Macedo	7
13	Invariant natural killer T cells are phenotypically and functionally altered in Fabry disease 2013 ·Molecular Genetics and Metabolism ·(unknown), Olga Azevedo, (unknown), Ana F. Dias, Clara Sá-Miranda, M. Fátima Macedo	37
14	Reduced glucosylceramide in the mouse model of Fabry disease: Correction by successful enzyme replacement therapy 2013 ·Gene ·(unknown), Daniel Nava Rodrigues, (unknown), M. Fátima Macedo, Olga Azevedo, (unknown), Pedro Oliveira, Clara Sá-Miranda	7
15	Enzyme replacement therapy partially prevents invariant Natural Killer T cell deficiency in the Fabry disease mouse model 2012 ·Molecular Genetics and Metabolism ·M. Fátima Macedo, (unknown), (unknown), Clara Sá-Miranda	14
16	HLA-G expression: Gastric specimens harboring the helicobacter pylori infection 2009 ·Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista) ·M. Fátima Macedo, (unknown), Christiane Pienna Soares, Aldo Cunha Medeiros, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Isabela Jubé Wastowski, Eduardo Antônio Donadi, (unknown)	1
17	Low serum transferrin levels in HFE C282Y homozygous subjects are associated with low CD8+ T lymphocyte numbers 2005 ·Blood Cells Molecules and Diseases ·M. Fátima Macedo, Eugénia Cruz, Rosa Lacerda, Graça Porto, Maria de Sousa	11
18	Transferrin is required for early T‐cell differentiation 2004 ·Immunology ·M. Fátima Macedo, Maria de Sousa, Renée M. Ned, (unknown), Nancy C. Andrews, Margarida Correia‐Neves	52
19	Human T cell responses to endogenously presented HLA‐A0201 restricted peptides of simian virus 40 large T antigen 2001 ·Journal of Cellular Biochemistry* ·Markwin P. Velders, M. Fátima Macedo, Maurizio Provenzano, Amira G. Elmishad, Hermann−Georg Holzhütter, (unknown), W. Martin Kast	9
20	Identification of Peptides for Immunotherapy of Cancer. It is Still Worth the Effort 1998 ·Critical Reviews in Immunology ·Markwin P. Velders, John D. Nieland, Michael P. Rudolf, (unknown), Sanne Weijzen, (unknown), M. Fátima Macedo, Michele Carbone, W. Martin Kast	22

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.

Explore authors with similar magnitude of impact