Marta Nascimento

467 total citations
4 papers, 348 citations indexed

About

Marta Nascimento is a scholar working on Infectious Diseases, Molecular Biology and Endocrinology. According to data from OpenAlex, Marta Nascimento has authored 4 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Endocrinology. Recurrent topics in Marta Nascimento's work include Legionella and Acanthamoeba research (2 papers), Machine Learning in Bioinformatics (2 papers) and Antifungal resistance and susceptibility (2 papers). Marta Nascimento is often cited by papers focused on Legionella and Acanthamoeba research (2 papers), Machine Learning in Bioinformatics (2 papers) and Antifungal resistance and susceptibility (2 papers). Marta Nascimento collaborates with scholars based in Portugal. Marta Nascimento's co-authors include Cátia Vaz, Alexandre P. Francisco, A. O. Sousa, João André Carriço, Mário Ramirez, Teresa Marques, Tiago A. Marques and Mauro Cunha Ramos and has published in prestigious journals such as Bioinformatics and Eurosurveillance.

In The Last Decade

Marta Nascimento

4 papers receiving 348 citations

Peers

Marta Nascimento
Alexandre Souvorov United States
Marta Nascimento
Citations per year, relative to Marta Nascimento Marta Nascimento (= 1×) peers Alexandre Souvorov

Countries citing papers authored by Marta Nascimento

Since Specialization
Citations

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

Fields of papers citing papers by Marta Nascimento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Nascimento

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

All Works

4 of 4 papers shown
1.
Francisco, Alexandre P., Marta Nascimento, & Cátia Vaz. (2017). Dynamic Phylogenetic Inference for Sequence-based Typing Data. 604–604. 2 indexed citations
2.
Nascimento, Marta, A. O. Sousa, Mário Ramirez, et al.. (2016). PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods. Bioinformatics. 33(1). 128–129. 317 indexed citations
3.
Nascimento, Marta, et al.. (2014). Genetic diversity and evolutionary relationships among Legionella pneumophila clinical isolates, Portugal, 1987 to 2012. Eurosurveillance. 19(46). 7 indexed citations
4.
Nascimento, Marta, et al.. (2009). Sequence-based and monoclonal antibody typing of Legionella pneumophila isolated from patients in Portugal during 1987-2008. Eurosurveillance. 14(28). 22 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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