Michael D. Diodato

1.7k citations
25 papers · 1.3k · h-index 15

Impact in

Papers in

Michael D. Diodato

25 papers receiving 1.2k citations

Peers

Michael D. Diodato
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 711
  • Critical Care and Intensive Care Medicine 62
  • Emergency Medicine 101
  • Behavioral Neuroscience 33
  • Surgery 335
Replace Athos J. Rassias with:
Athos J. Rassias United States
Linda Dee United States
Héctor Rodríguez Cetina Biefer Switzerland
Gideon Merin Israel
Robert Stephens United Kingdom
Lajos Bogár Hungary
Yoshihisa Tateishi Japan
Runar Lundblad Norway
Christian Hofstetter Germany
Sten Blomquist Sweden
Michael D. Diodato relative to Athos J. Rassias United States Athos J. Rassias's profile →
Citations per field
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Athos J. Rassias · 1×
Citations per year

Countries citing papers authored by Michael D. Diodato

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Diodato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael D. Diodato, 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 Michael D. Diodato Line = papers co-authored together Michael D. Diodato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004220
2 2001202
3 2002167
4 2004111
5 201493
6 200391
7 200473
8 200459
9 200547
10 200339
11 200339
12 200134
13 200529
14 200422
15 200416
16 20055
17 20055
18 20054
19 20044
20 19994

About Michael D. Diodato

Michael D. Diodato is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Biomedical Engineering, Emergency Medicine and Pathology and Forensic Medicine, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Cardiac Arrest and Resuscitation (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Mechanical Circulatory Support Devices (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Immune Response and Inflammation (3 papers) and Surgical Simulation and Training (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (711 citations), Critical Care and Intensive Care Medicine (62 citations), Emergency Medicine (101 citations), Behavioral Neuroscience (33 citations) and Surgery (335 citations). Michael D. Diodato has collaborated with scholars based in United States and Lebanon. Frequent co-authors include Ralph J. Damiano, Markus W. Knöferl, Richard B. Schuessler, Sunil Prasad, Edgar Chedrawy, Marc R. Moon, I. H. Chaudry, Sydney L. Gaynor, Yôsuke Ishii and Kirby I. Bland. Their work appears in journals such as The Annals of Thoracic Surgery, The Heart Surgery Forum, Shock, Surgery and Expert Review of Cardiovascular Therapy.

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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