Fabio Di Lisa
- Pathology and Forensic Medicine top 0.2%
- Cardiac Ischemia and Reperfusion 41
- Clinical Biochemistry top 0.2%
- Metabolism and Genetic Disorders 20
- Developmental Neuroscience top 0.5%
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology 69
- ATP Synthase and ATPases Research 24
- Redox biology and oxidative stress 8
- Emergency Medicine top 0.5%
-
- Nitric Oxide and Endothelin Effects 11
-
- Cardiac electrophysiology and arrhythmias 9
- Cardiovascular Function and Risk Factors 8
- Co-authors
- Paolo BernardiValeria PetronilliRoberta MenabòMarcella CantonLuca ScorranoNina KaludercicRaffaele ColonnaMichael Forte
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Fabio Di Lisa
134 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Pathology and Forensic Medicine 2.9k
- Clinical Biochemistry 1.1k
- Developmental Neuroscience 613
- Molecular Biology 7.7k
- Emergency Medicine 850
Countries citing papers authored by Fabio Di Lisa
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).
Fields of papers citing papers by Fabio Di Lisa
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.
Co-authorship network
The 25 scholars most cited alongside Fabio Di Lisa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 17 | |
| 2 | 2020 | 17 | |
| 3 | 2016 | 1 | |
| 4 | 2015 | 213 | |
| 5 | 2015 | 40 | |
| 6 | 2015 | 108 | |
| 7 | 2014 | 78 | |
| 8 | 2014 | 44 | |
| 9 | 2013 | 139 | |
| 10 | 2011 | 101 | |
| 11 | 2010 | 154 | |
| 12 | 2009 | 132 | |
| 13 | 2007 | 1 | |
| 14 | 2004 | 16 | |
| 15 | Mitochondria and cell deathbreakdown → | 1999 | 652 |
| 16 | 1999 | 2 | |
| 17 | 1998 | 105 | |
| 18 | 1998 | 32 | |
| 19 | 1994 | 3 | |
| 20 | 1990 | 30 |
About Fabio Di Lisa
Fabio Di Lisa is a scholar working on Clinical Biochemistry, Pathology and Forensic Medicine and Molecular Biology, having authored 135 papers that have together received 12.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (69 papers), Cardiac Ischemia and Reperfusion (41 papers), ATP Synthase and ATPases Research (24 papers), Metabolism and Genetic Disorders (20 papers), Nitric Oxide and Endothelin Effects (11 papers), Cardiac electrophysiology and arrhythmias (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Redox biology and oxidative stress (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.9k citations), Clinical Biochemistry (1.1k citations) and Developmental Neuroscience (613 citations). Fabio Di Lisa has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Paolo Bernardi, Valeria Petronilli, Roberta Menabò, Marcella Canton, Luca Scorrano, Nina Kaludercic, Raffaele Colonna, Michael Forte, Andrea Carpi and Rainer Schulz. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Blood.
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.