Michael V. DiMaria

474 citations
21 papers · 214 · h-index 9

Impact in

Papers in

Michael V. DiMaria

19 papers receiving 213 citations

Peers

Michael V. DiMaria
Comparison fields: 5 of 37
  • Cardiology and Cardiovascular Medicine 102
  • Pulmonary and Respiratory Medicine 136
  • Epidemiology 121
  • Critical Care and Intensive Care Medicine 9
  • Surgery 71
Replace Vasco Gama Ribeiro with:
Vasco Gama Ribeiro Portugal
R. P. Beekman Netherlands
Wadi Mawad Canada
Laura Filippetti France
Zvonimir A. Rako Germany
Agata Krawczyk‐Ożóg Poland
Michael Hainstock United States
Gilles Amr France
Yosuke Hayama Japan
Jonathan Timperley United Kingdom
Michael V. DiMaria relative to Vasco Gama Ribeiro Portugal Vasco Gama Ribeiro's profile →
Citations per field
00.5×
Vasco Gama Ribeiro · 1×
Citations per year

Countries citing papers authored by Michael V. DiMaria

Since Specialization
Citations

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

Fields of papers citing papers by Michael V. DiMaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201547
2 201734
3 201924
4 201822
5 202111
6 202011
7 202010
8 201910
9 201710
10 20228
11 20236
12 20215
13 20184
14 20243
15 20233
16 20233
17 20251
18 20251
19 20241
20 20200

About Michael V. DiMaria

Michael V. DiMaria is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Biological Psychiatry, having authored 21 papers that have together received 214 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (15 papers), Pulmonary Hypertension Research and Treatments (7 papers), Cardiovascular Function and Risk Factors (7 papers), Cardiovascular Issues in Pregnancy (3 papers), Neonatal Respiratory Health Research (3 papers), Coronary Artery Anomalies (3 papers), Atomic and Subatomic Physics Research (2 papers) and Kawasaki Disease and Coronary Complications (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (102 citations), Pulmonary and Respiratory Medicine (136 citations), Epidemiology (121 citations), Critical Care and Intensive Care Medicine (9 citations) and Surgery (71 citations). Michael V. DiMaria has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Max B. Mitchell, Michal Schäfer, Steven H. Abman, Benjamin S. Frank, Brian Fonseca, Lorna P. Browne, Gareth J. Morgan, Yoav Dori, Marc S. Keller and Mark Twite. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Journal of Thoracic and Cardiovascular Surgery, The Journal of Pediatrics, Scientific Reports and Frontiers in Pediatrics.

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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