Michael Gaies
- Epidemiology top 1%
- Surgery top 2%
- Emergency Medicine top 0.2%
- Biomedical Engineering top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Richard G. OhyeJohn R. CharpieJennifer C. HirschSara K. PasqualiJames G. GurneyJanet E. DonohueRobert J. GajarskiSunkyung Yu
- Topics
- Congenital Heart Disease Studies (54 papers)Cardiac Arrest and Resuscitation (41 papers)Cardiac, Anesthesia and Surgical Outcomes (28 papers)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Michael Gaies
115 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Epidemiology 1.7k
- Surgery 1.5k
- Emergency Medicine 1.3k
- Biomedical Engineering 1.1k
- Cardiology and Cardiovascular Medicine 1.1k
Countries citing papers authored by Michael Gaies
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
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-authorship network of co-authors of Michael Gaies
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gaies. A scholar is included among the top collaborators of Michael Gaies 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 Michael Gaies. Michael Gaies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 56 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 39 | |
| 10 | 1 | |
| 11 | 40 | |
| 12 | 1 | |
| 13 | Variation in extubation failure rates after neonatal congenital heart surgery across Pediatric Cardiac Critical Care Consortium hospitals | 1 |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 13 | |
| 17 | 28 | |
| 18 | 73 | |
| 19 | 55 | |
| 20 | Vasoactive–inotropic score as a predictor of morbidity and mortality in infants after cardiopulmonary bypass*breakdown → | 933 |
About Michael Gaies
Michael Gaies is a scholar working on Emergency Medicine, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 118 papers that have together received 4.1k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (54 papers), Cardiac Arrest and Resuscitation (41 papers) and Cardiac, Anesthesia and Surgical Outcomes (28 papers). The work is most often cited by research in Emergency Medicine (1.3k citations), Critical Care and Intensive Care Medicine (293 citations) and Nephrology (390 citations). Michael Gaies has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Richard G. Ohye, John R. Charpie, Jennifer C. Hirsch, Sara K. Pasquali, James G. Gurney, Janet E. Donohue, Robert J. Gajarski, Sunkyung Yu, Ravi R. Thiagarajan and Jeffrey P. Jacobs. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.
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.