Michael Gaies

115 papers receiving 4.2k citations

Michael Gaies's Hit Papers

Vasoactive-Inotropic Score Is Associated With Outcome After Infant Cardiac Surgery 2014 · 303 citations
3030+5+10Years since publication250500750

Peers

Michael Gaies
Comparison fields: 5 of 92
  • Emergency Medicine 601
  • Nephrology 291
  • Epidemiology 1.2k
  • Critical Care and Intensive Care Medicine 145
  • Cardiology and Cardiovascular Medicine 503
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Countries citing papers authored by Michael Gaies

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gaies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vasoactive–inotropic score as a predictor of morbidity and mortality in infants after cardiopulmonary bypass*
Hit paper breakdown →
2010958
2
Vasoactive-Inotropic Score Is Associated With Outcome After Infant Cardiac Surgery
Hit paper breakdown →
2014303
3 2012161
4 2012129
5 2015128
6 2007113
7 2014104
8 201594
9 201786
10 201474
11 201573
12 200972
13 201568
14 202164
15 201257
16 202056
17 201555
18 201754
19 201549
20 201547

About Michael Gaies

Michael Gaies is a scholar working on Epidemiology, Emergency Medicine, Surgery, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 118 papers that have together received 4.2k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (39 papers), Cardiac Arrest and Resuscitation (12 papers), Mechanical Circulatory Support Devices (12 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Heart Failure Treatment and Management (6 papers), Respiratory Support and Mechanisms (5 papers) and Hemodynamic Monitoring and Therapy (4 papers). The work is most often cited by research in Emergency Medicine (601 citations), Nephrology (291 citations), Epidemiology (1.2k citations), Critical Care and Intensive Care Medicine (145 citations) and Cardiology and Cardiovascular Medicine (503 citations). Michael Gaies has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John R. Charpie, Richard G. Ohye, Sara K. Pasquali, Jennifer C. Hirsch, James G. Gurney, Janet E. Donohue, Alberta Yen, Robert J. Gajarski, Sunkyung Yu and Ravi R. Thiagarajan. Their work appears in journals such as Pediatric Critical Care Medicine, The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Journal of the American College of Cardiology and Circulation.

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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