Maria G. Macedo

8 papers and 336 indexed citations i.

About

Maria G. Macedo is a scholar working on Cellular and Molecular Neuroscience, Nutrition and Dietetics and Neurology. According to data from OpenAlex, Maria G. Macedo has authored 8 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Nutrition and Dietetics and 2 papers in Neurology. Recurrent topics in Maria G. Macedo’s work include Parkinson's Disease Mechanisms and Treatments (2 papers), Innovation and Knowledge Management (2 papers) and Business Strategy and Innovation (2 papers). Maria G. Macedo is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (2 papers), Innovation and Knowledge Management (2 papers) and Business Strategy and Innovation (2 papers). Maria G. Macedo collaborates with scholars based in The Netherlands, Canada and Portugal. Maria G. Macedo's co-authors include Yue Fang, Martine Visser, Peter Heutink, Dagmar Verbaan, Stephanie M. van Rooden, Maria de Sousa, Elsa M. Cardoso, Patrizia Rizzu, Burcu Anar and J Groen and has published in prestigious journals such as Blood, Neurology and Human Molecular Genetics.

In The Last Decade

Co-authorship network of co-authors of Maria G. Macedo i

Fields of papers citing papers by Maria G. Macedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria G. Macedo

Since Specialization
Citations

This map shows the geographic impact of Maria G. 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 G. 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 G. Macedo more than expected).

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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2025