Fábio Hecht

32 papers and 747 indexed citations i.

About

Fábio Hecht is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Fábio Hecht has authored 32 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Fábio Hecht’s work include Thyroid Disorders and Treatments (6 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and COVID-19 Clinical Research Studies (4 papers). Fábio Hecht is often cited by papers focused on Thyroid Disorders and Treatments (6 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and COVID-19 Clinical Research Studies (4 papers). Fábio Hecht collaborates with scholars based in Brazil, United States and France. Fábio Hecht's co-authors include Denise Pires de Carvalho, Rodrigo S. Fortunato, Doris Rosenthal, Luciana B. Gentile, Andrea Cláudia Freitas Ferreira, Corinne Dupuy, Juliana Cazarin, Helton Estrela Ramos, Isaac S. Harris and Luiz Eurico Nasciutti and has published in prestigious journals such as Molecular Cell, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Fábio Hecht i

Fields of papers citing papers by Fábio Hecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fábio Hecht

Since Specialization
Citations

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