Gabrielle da Luz

18 papers and 523 indexed citations i.

About

Gabrielle da Luz is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gabrielle da Luz has authored 18 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gabrielle da Luz’s work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic Islet Dysfunction and Regeneration (4 papers) and Diet, Metabolism, and Disease (4 papers). Gabrielle da Luz is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Pancreatic Islet Dysfunction and Regeneration (4 papers) and Diet, Metabolism, and Disease (4 papers). Gabrielle da Luz collaborates with scholars based in Brazil and United States. Gabrielle da Luz's co-authors include Cláudio Teodoro de Souza, Ricardo A. Pinho, Marisa Jádna Silva Frederico, Eduardo R. Ropelle, Dennys E. Cintra, José Rodrigo Pauli, Marcelo F. Vitto, Lı́cio A. Velloso, Samira S. Valvassori and Adelino Sánchez Ramos da Silva and has published in prestigious journals such as The Journal of Physiology, Biochemistry and Life Sciences.

In The Last Decade

Co-authorship network of co-authors of Gabrielle da Luz i

Fields of papers citing papers by Gabrielle da Luz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabrielle da Luz. 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 Gabrielle da Luz. The network helps show where Gabrielle da Luz may publish in the future.

Countries citing papers authored by Gabrielle da Luz

Since Specialization
Citations

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