Daniela Fiore

24 papers and 1.3k indexed citations i.

About

Daniela Fiore is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Daniela Fiore has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Physiology. Recurrent topics in Daniela Fiore’s work include Hormonal Regulation and Hypertension (4 papers), Stress Responses and Cortisol (4 papers) and Adipose Tissue and Metabolism (3 papers). Daniela Fiore is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Stress Responses and Cortisol (4 papers) and Adipose Tissue and Metabolism (3 papers). Daniela Fiore collaborates with scholars based in Italy, Canada and United States. Daniela Fiore's co-authors include Fábio Rossi, Marcela Low, Darío R. Lemos, Chih-Kai Chang, Sergei A. Nedospasov, Anuradha Natarajan, Farshad Babaeijandaghi, Andrea Lenzi, Mary Anna Venneri and Andrea M. Isidori and has published in prestigious journals such as Nature Medicine, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Daniela Fiore i

Fields of papers citing papers by Daniela Fiore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Fiore

Since Specialization
Citations

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