Cristiano Fava

132 papers and 2.6k indexed citations i.

About

Cristiano Fava is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Cristiano Fava has authored 132 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cardiology and Cardiovascular Medicine, 34 papers in Endocrinology, Diabetes and Metabolism and 22 papers in Physiology. Recurrent topics in Cristiano Fava’s work include Blood Pressure and Hypertension Studies (23 papers), Hormonal Regulation and Hypertension (22 papers) and Eicosanoids and Hypertension Pharmacology (15 papers). Cristiano Fava is often cited by papers focused on Blood Pressure and Hypertension Studies (23 papers), Hormonal Regulation and Hypertension (22 papers) and Eicosanoids and Hypertension Pharmacology (15 papers). Cristiano Fava collaborates with scholars based in Italy, Sweden and United States. Cristiano Fava's co-authors include Pietro Minuz, Martina Montagnana, Olle Melander, Gian Cesare Guidi, Elisa Danese, Peter Almgren, Giuseppe Lippi, Sara Bonafini, Bo Hedblad and Gunnar Engström and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Cristiano Fava i

Fields of papers citing papers by Cristiano Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cristiano Fava

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025