Jay D. Pruetz

45 papers receiving 656 citations

Peers

Jay D. Pruetz
Comparison fields: 5 of 53
  • Epidemiology 479
  • Cardiology and Cardiovascular Medicine 245
  • Obstetrics and Gynecology 66
  • Pediatrics, Perinatology and Child Health 152
  • Surgery 301
Replace Trisha V. Vigneswaran with:
Trisha V. Vigneswaran United Kingdom
PM Doubilet United States
Kimio Yashiro Japan
Mary J. Rice United States
Bert Nagel Austria
Satoru Iwashima Japan
Virginia Silva United States
Carlos Mortera Spain
Susan Pamela Drblik Canada
Ada Stefanescu United States
Jay D. Pruetz relative to Trisha V. Vigneswaran United Kingdom Trisha V. Vigneswaran's profile →
Citations per field
00.5×4.3×
Trisha V. Vigneswaran · 1×
Citations per year

Countries citing papers authored by Jay D. Pruetz

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. Pruetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200969
2 202356
3 201445
4 201644
5 200943
6 201740
7 201232
8 201329
9 201929
10 201828
11 201126
12 202020
13 201119
14 201916
15 201215
16 202213
17 201513
18 202012
19 201812
20 202010

About Jay D. Pruetz

Jay D. Pruetz is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Pediatrics, Perinatology and Child Health, having authored 47 papers that have together received 675 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (30 papers), Cardiovascular Issues in Pregnancy (13 papers), Congenital Diaphragmatic Hernia Studies (8 papers), Assisted Reproductive Technology and Twin Pregnancy (8 papers), Cardiac Arrhythmias and Treatments (7 papers), Coronary Artery Anomalies (6 papers), Cardiac Structural Anomalies and Repair (5 papers) and Tracheal and airway disorders (5 papers). The work is most often cited by research in Epidemiology (479 citations), Cardiology and Cardiovascular Medicine (245 citations), Obstetrics and Gynecology (66 citations), Pediatrics, Perinatology and Child Health (152 citations) and Surgery (301 citations). Jay D. Pruetz has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Mark Sklansky, Jon Detterich, Ramen H. Chmait, Mary T. Donofrio, Maciej Słodki, Darren P. Berman, Ruey‐Kang R. Chang, Michael J. Silka, Anita J. Moon‐Grady and Yaniv Bar‐Cohen. Their work appears in journals such as Prenatal Diagnosis, Journal of Ultrasound in Medicine, American Journal of Obstetrics and Gynecology, Journal of Cardiovascular Magnetic Resonance and Seminars in Fetal and Neonatal Medicine.

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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