Fabio Di Lisa

20 papers and 1.0k indexed citations i.

About

Fabio Di Lisa is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Fabio Di Lisa has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Biochemistry. Recurrent topics in Fabio Di Lisa’s work include Mitochondrial Function and Pathology (12 papers), Cardiac Ischemia and Reperfusion (5 papers) and Metabolism and Genetic Disorders (5 papers). Fabio Di Lisa is often cited by papers focused on Mitochondrial Function and Pathology (12 papers), Cardiac Ischemia and Reperfusion (5 papers) and Metabolism and Genetic Disorders (5 papers). Fabio Di Lisa collaborates with scholars based in Italy, Germany and United Kingdom. Fabio Di Lisa's co-authors include Nina Kaludercic, Roberta Menabò, N. Siliprandi, Andreas Daiber, Rainer Schulz, Diego De Stefani, Rosario Rizzuto, Ildikò Szabó, Angela Paggio and Vanessa Checchetto and has published in prestigious journals such as Nature, Circulation Research and Free Radical Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Fabio Di Lisa i

Fields of papers citing papers by Fabio Di Lisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Di Lisa. 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 Fabio Di Lisa. The network helps show where Fabio Di Lisa may publish in the future.

Countries citing papers authored by Fabio Di Lisa

Since Specialization
Citations

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