Graciela I. Lavia

32 papers and 674 indexed citations i.

About

Graciela I. Lavia is a scholar working on Plant Science, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Graciela I. Lavia has authored 32 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 19 papers in Molecular Biology and 6 papers in Inorganic Chemistry. Recurrent topics in Graciela I. Lavia’s work include Peanut Plant Research Studies (24 papers), Nitrogen and Sulfur Effects on Brassica (15 papers) and Chromosomal and Genetic Variations (9 papers). Graciela I. Lavia is often cited by papers focused on Peanut Plant Research Studies (24 papers), Nitrogen and Sulfur Effects on Brassica (15 papers) and Chromosomal and Genetic Variations (9 papers). Graciela I. Lavia collaborates with scholars based in Argentina, Brazil and United States. Graciela I. Lavia's co-authors include Guillermo Seijo, Aveliano Fernández, Antonio Krapovickas, Daniel A. Ducasse, Eduardo A. Moscone, Germán Robledo, David J. Bertioli, L. A. Mroginski, José Francisco Montenegro Valls and Viviana Echenique and has published in prestigious journals such as Theoretical and Applied Genetics, Annals of Botany and American Journal of Botany.

In The Last Decade

Co-authorship network of co-authors of Graciela I. Lavia i

Fields of papers citing papers by Graciela I. Lavia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graciela I. Lavia. 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 Graciela I. Lavia. The network helps show where Graciela I. Lavia may publish in the future.

Countries citing papers authored by Graciela I. Lavia

Since Specialization
Citations

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