Maria Amélia Gava Ferrão

65 papers and 862 indexed citations i.

About

Maria Amélia Gava Ferrão is a scholar working on Plant Science, Pharmacology and Forestry. According to data from OpenAlex, Maria Amélia Gava Ferrão has authored 65 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 48 papers in Pharmacology and 6 papers in Forestry. Recurrent topics in Maria Amélia Gava Ferrão’s work include Effects of Caffeine on Human Health (48 papers), Genetics and Plant Breeding (24 papers) and Growth and nutrition in plants (20 papers). Maria Amélia Gava Ferrão is often cited by papers focused on Effects of Caffeine on Human Health (48 papers), Genetics and Plant Breeding (24 papers) and Growth and nutrition in plants (20 papers). Maria Amélia Gava Ferrão collaborates with scholars based in Brazil, United States and France. Maria Amélia Gava Ferrão's co-authors include Romário Gava Ferrão, Aymbiré Francisco Almeida da Fonseca, Fábio M. DaMatta, Marcelo Loureiro, Cosme Damião Cruz, Adésio Ferreira, Luís Felipe V. Ferrão, Paulo Roberto Cecon, Antônio Augusto Franco Garcia and Alan Carvalho Andrade and has published in prestigious journals such as Journal of Experimental Botany, Crop Science and Phytopathology.

In The Last Decade

Co-authorship network of co-authors of Maria Amélia Gava Ferrão i

Fields of papers citing papers by Maria Amélia Gava Ferrão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Amélia Gava Ferrão. 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 Amélia Gava Ferrão. The network helps show where Maria Amélia Gava Ferrão may publish in the future.

Countries citing papers authored by Maria Amélia Gava Ferrão

Since Specialization
Citations

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