Maria Paula Macedo

4.9k total citations
126 papers, 2.7k citations indexed

About

Maria Paula Macedo is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Maria Paula Macedo has authored 126 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Physiology, 37 papers in Endocrinology, Diabetes and Metabolism and 34 papers in Molecular Biology. Recurrent topics in Maria Paula Macedo's work include Diet, Metabolism, and Disease (24 papers), Nitric Oxide and Endothelin Effects (14 papers) and Adipose Tissue and Metabolism (14 papers). Maria Paula Macedo is often cited by papers focused on Diet, Metabolism, and Disease (24 papers), Nitric Oxide and Endothelin Effects (14 papers) and Adipose Tissue and Metabolism (14 papers). Maria Paula Macedo collaborates with scholars based in Portugal, United States and Canada. Maria Paula Macedo's co-authors include W. Wayne Lautt, Rogério T. Ribeiro, Rita S. Patarrão, Dallas J. Légaré, Maria P. Guarino, João Filipe Raposo, Ricardo A. Afonso, Carlos Penha‐Gonçalves, Maria João Meneses and Joana M. Gaspar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Maria Paula Macedo

121 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Paula Macedo Portugal 32 842 625 598 578 419 126 2.7k
Christophe O. Soulage France 35 1.1k 1.3× 1.2k 1.9× 383 0.6× 457 0.8× 375 0.9× 93 3.9k
Claire J. Stocker United Kingdom 26 726 0.9× 801 1.3× 372 0.6× 399 0.7× 500 1.2× 64 2.5k
Hiroshi Obayashi Japan 33 721 0.9× 672 1.1× 598 1.0× 660 1.1× 805 1.9× 108 3.8k
Martine Caron France 21 970 1.2× 1.1k 1.7× 441 0.7× 1.1k 1.9× 328 0.8× 45 3.8k
Pilar Ramos Spain 31 758 0.9× 1.1k 1.8× 281 0.5× 684 1.2× 428 1.0× 100 3.7k
Anna Maria Molinari Italy 28 631 0.7× 936 1.5× 478 0.8× 653 1.1× 282 0.7× 80 3.3k
Kuchan Kimm South Korea 26 528 0.6× 751 1.2× 371 0.6× 352 0.6× 182 0.4× 77 2.7k
Dongmei Liu China 31 501 0.6× 704 1.1× 298 0.5× 367 0.6× 375 0.9× 171 3.1k
Mariëtte T. Ackermans Netherlands 40 1.5k 1.7× 1.1k 1.8× 1.3k 2.1× 584 1.0× 517 1.2× 162 5.1k
Feingold Kr United States 27 887 1.1× 896 1.4× 353 0.6× 1.0k 1.8× 417 1.0× 77 4.2k

Countries citing papers authored by Maria Paula Macedo

Since Specialization
Citations

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

Fields of papers citing papers by Maria Paula Macedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Paula Macedo

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Paula Macedo. A scholar is included among the top collaborators of Maria Paula 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 Maria Paula Macedo. Maria Paula Macedo 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.
2.
Mota, Ana Lourdes Arrais de Alencar, et al.. (2025). Impactos do Consumo de Bebidas Energéticas na Saúde Cardiovascular. Brazilian Journal of Implantology and Health Sciences. 7(1). 476–483. 1 indexed citations
3.
Viegas, Iván, Ludgero C. Tavares, Maria João Meneses, et al.. (2024). The Effects of Long-Term High Fat and/or High Sugar Feeding on Sources of Postprandial Hepatic Glycogen and Triglyceride Synthesis in Mice. Nutrients. 16(14). 2186–2186. 4 indexed citations
4.
Carvalho, Ana Sofía, Inês Sousa‐Lima, Hans Christian Beck, et al.. (2024). Proteomic Profiling of Plasma- and Gut-Derived Extracellular Vesicles in Obesity. Nutrients. 16(5). 736–736. 3 indexed citations
5.
Ferreiro, Elisabete, Mariana P. Monteiro, Francisco B. Pereira, et al.. (2024). Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells. Mechanisms of Ageing and Development. 218. 111912–111912. 2 indexed citations
6.
Oliveira, Rita Machado de, Ana Sofía Carvalho, Hans Christian Beck, et al.. (2022). Messages from the Small Intestine Carried by Extracellular Vesicles in Prediabetes: A Proteomic Portrait. Journal of Proteome Research. 21(4). 910–920. 7 indexed citations
7.
Patarrão, Rita S., Nádia Duarte, Joey Ward, et al.. (2022). Prediabetes blunts DPP4 genetic control of postprandial glycaemia and insulin secretion. Diabetologia. 65(5). 861–871. 4 indexed citations
8.
Meneses, Maria João, et al.. (2021). Insulin‐degrading enzyme: an ally against metabolic and neurodegenerative diseases. The Journal of Pathology. 255(4). 346–361. 40 indexed citations
9.
Duarte, Nádia, et al.. (2021). Insights into Macrophage/Monocyte-Endothelial Cell Crosstalk in the Liver: A Role for Trem-2. Journal of Clinical Medicine. 10(6). 1248–1248. 11 indexed citations
10.
Meneses, Maria João, et al.. (2020). Insulin: Trigger and Target of Renal Functions. Frontiers in Cell and Developmental Biology. 8. 40 indexed citations
11.
Pinheiro, Tomás, João Ferrão, Ana C. Marques, et al.. (2020). Paper-Based In-Situ Gold Nanoparticle Synthesis for Colorimetric, Non-Enzymatic Glucose Level Determination. Nanomaterials. 10(10). 2027–2027. 37 indexed citations
12.
Espino, Javier, Maria Paula Macedo, Graciela M. Lozano, et al.. (2019). Impact of Melatonin Supplementation in Women with Unexplained Infertility Undergoing Fertility Treatment. Antioxidants. 8(9). 338–338. 70 indexed citations
13.
Meneses, Maria João, Tânia R. Dias, Fátima O. Martins, et al.. (2019). Knockout of insulin-degrading enzyme leads to mice testicular morphological changes and impaired sperm quality. Molecular and Cellular Endocrinology. 486. 11–17. 13 indexed citations
14.
Ribeiro, Rogério T., Ricardo A. Afonso, & Maria Paula Macedo. (2007). Hepatic parasympathetic role in insulin resistance on an animal model of hypertension. Metabolism. 56(2). 227–233. 12 indexed citations
15.
Afonso, Ricardo A., Rita S. Patarrão, Maria Paula Macedo, & Miguel Mota Carmo. (2006). Carvedilol Action Is Dependent on Endogenous Production of Nitric Oxide. American Journal of Hypertension. 19(4). 419–425. 30 indexed citations
16.
Guarino, Maria P. & Maria Paula Macedo. (2006). Co‐administration of glutathione and nitric oxide enhances insulin sensitivity in Wistar rats. British Journal of Pharmacology. 147(8). 959–965. 30 indexed citations
17.
Lautt, W. Wayne, et al.. (2004). Pharmaceutical reversal of insulin resistance.. PubMed. 47. 30–2. 6 indexed citations
18.
Lautt, W. Wayne, et al.. (2001). Hepatic parasympathetic (HISS) control of insulin sensitivity determined by feeding and fasting. American Journal of Physiology-Gastrointestinal and Liver Physiology. 281(1). G29–G36. 71 indexed citations
19.
Lautt, W. Wayne & Maria Paula Macedo. (1997). Hepatic Circulation and Toxicology. Drug Metabolism Reviews. 29(1-2). 369–395. 10 indexed citations
20.
Portaels, F, et al.. (1988). Effects of freezing and thawing on the viability and the ultrastructure of in vivo grown mycobacteria.. PubMed. 56(4). 580–7. 9 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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