Gianluca Gitti
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Physiology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Evasio PasiniAnastasis StephanouPaul A. TownsendDavid S. LatchmanRichard A. KnightTiziano M. ScarabelliMarta MenegazziHisanori Suzuki
- Topics
- Cardiac Ischemia and Reperfusion (3 papers)Renin-Angiotensin System Studies (2 papers)Nitric Oxide and Endothelin Effects (2 papers)
- Journals
- Journal of the American College of CardiologyThe FASEB JournalJournal of Thoracic and Cardiovascular Surgery
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Gianluca Gitti
6 papers receiving 380 citations
Peers
Comparison fields: 5 of 76
- Pathology and Forensic Medicine 121
- Molecular Biology 115
- Cardiology and Cardiovascular Medicine 94
- Physiology 48
- Endocrinology, Diabetes and Metabolism 44
Countries citing papers authored by Gianluca Gitti
This map shows the geographic impact of Gianluca Gitti'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 Gianluca Gitti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Gitti more than expected).
Fields of papers citing papers by Gianluca Gitti
This network shows the impact of papers produced by Gianluca Gitti. 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 Gianluca Gitti. The network helps show where Gianluca Gitti may publish in the future.
Co-authorship network of co-authors of Gianluca Gitti
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Gitti. A scholar is included among the top collaborators of Gianluca Gitti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianluca Gitti. Gianluca Gitti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 41 | |
| 3 | Experimental ischemic cardiomyopathy: insights into remodeling, physiological adaptation, and humoral response. | 9 |
| 4 | 26 | |
| 5 | 114 | |
| 6 | 158 |
About Gianluca Gitti
Gianluca Gitti is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 6 papers that have together received 390 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (3 papers), Renin-Angiotensin System Studies (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Biochemistry (41 citations), Pathology and Forensic Medicine (121 citations) and Developmental Neuroscience (21 citations). Gianluca Gitti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Evasio Pasini, Anastasis Stephanou, Paul A. Townsend, David S. Latchman, Richard A. Knight, Tiziano M. Scarabelli, Marta Menegazzi, Hisanori Suzuki, Roberto Ferrari and Claudio Ceconi. Their work appears in journals such as Journal of the American College of Cardiology, The FASEB Journal and Journal of Thoracic and Cardiovascular Surgery.
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.