Gabriela Jaita

32 papers and 624 indexed citations i.

About

Gabriela Jaita is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gabriela Jaita has authored 32 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gabriela Jaita’s work include Growth Hormone and Insulin-like Growth Factors (10 papers), Estrogen and related hormone effects (8 papers) and Reproductive System and Pregnancy (6 papers). Gabriela Jaita is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (10 papers), Estrogen and related hormone effects (8 papers) and Reproductive System and Pregnancy (6 papers). Gabriela Jaita collaborates with scholars based in Argentina, United States and Germany. Gabriela Jaita's co-authors include Adriana Seilicovich, Daniel Pisera, Verónica Zaldivar, Marianela Candolfi, Jimena Ferraris, Sandra Zárate, María G. Castro, Andrea De Laurentiis, Regina Wikinski and Fernando Brites and has published in prestigious journals such as PLoS ONE, Journal of Virology and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Gabriela Jaita i

Fields of papers citing papers by Gabriela Jaita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriela Jaita

Since Specialization
Citations

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