Paula de Matos

10 papers and 2.0k indexed citations i.

About

Paula de Matos is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Paula de Matos has authored 10 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Artificial Intelligence. Recurrent topics in Paula de Matos’s work include Bioinformatics and Genomic Networks (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Paula de Matos is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Paula de Matos collaborates with scholars based in United Kingdom, United States and France. Paula de Matos's co-authors include Janna Hastings, Marcus Ennis, Christoph Steinbeck, Rafael Alcántara, Kirill Degtyarenko, Mickaël Guedj, Magali Zbinden, Michael Ashburner, Andrew McNaught and Steve Turner and has published in prestigious journals such as Nucleic Acids Research, PLoS Computational Biology and BMC Genomics.

In The Last Decade

Co-authorship network of co-authors of Paula de Matos i

Fields of papers citing papers by Paula de Matos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paula de Matos

Since Specialization
Citations

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