D Gattullo

67 papers receiving 1.1k citations

Peers

D Gattullo
Comparison fields: 5 of 89
  • Developmental Neuroscience 234
  • Emergency Medicine 351
  • Pathology and Forensic Medicine 577
  • Biochemistry 99
  • Physiology 328
Replace Tak Ming Wong with:
Tak Ming Wong Hong Kong
Andreas Ohler Germany
Viktoriya Solodushko United States
Nancy H. Manson United States
Johan A. Moolman South Africa
Masaji Tamagawa Japan
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Carmen Methner United Kingdom
Erna Marais South Africa
Andrey P. Babenko United States
D Gattullo relative to Tak Ming Wong Hong Kong Tak Ming Wong's profile →
Citations per field
00.5×2.6×
Tak Ming Wong · 1×
Citations per year

Countries citing papers authored by D Gattullo

Since Specialization
Citations

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

Fields of papers citing papers by D Gattullo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D Gattullo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D Gattullo Line = papers co-authored together D Gattullo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006210
2 2002173
3 2005108
4 200190
5 200545
6 199738
7 199935
8 200131
9 199924
10
The platelet activating factor triggers preconditioning-like cardioprotective effect via mitochondrial K-ATP channels and redox-sensible signaling.
200822
11 200421
12 198119
13
Coronary endothelial dysfunction after ischemia and reperfusion and its prevention by ischemic preconditioning.
200318
14 199616
15 199516
16 198914
17 198313
18 200912
19 199411
20 199411

About D Gattullo

D Gattullo is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Physiology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (25 papers), Nitric Oxide and Endothelin Effects (17 papers), Cardiac Imaging and Diagnostics (14 papers), Venomous Animal Envenomation and Studies (13 papers), Cardiac Arrest and Resuscitation (10 papers), Ion channel regulation and function (9 papers), Heart Rate Variability and Autonomic Control (9 papers) and Cardiovascular Function and Risk Factors (8 papers). The work is most often cited by research in Developmental Neuroscience (234 citations), Emergency Medicine (351 citations), Pathology and Forensic Medicine (577 citations), Biochemistry (99 citations) and Physiology (328 citations). D Gattullo has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Pasquale Pagliaro, Raffaella Rastaldo, Cláudia Penna, Daniele Mancardi, G Losano, Simone Cappello, G Losano, Stefania Raimondo, Nazareno Paolocci and Gianni Losano. Their work appears in journals such as Life Sciences, Basic Research in Cardiology, The Journal of Physiology, American Journal of Physiology-Heart and Circulatory Physiology and Pflügers Archiv - European Journal of Physiology.

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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