Jay Gracey

6 papers receiving 550 citations

Jay Gracey's Hit Papers

Effect of remote ischaemic conditioning on clinical outcomes in patients with acute myocardial infarction (CONDI-2/ERIC-PPCI): a single-blind randomised controlled trial 2019 · 264 citations
2640+2+4Years since publication50100150200250

Peers

Jay Gracey
Comparison fields: 5 of 61
  • Emergency Medicine 148
  • Developmental Neuroscience 46
  • Pathology and Forensic Medicine 174
  • Cardiology and Cardiovascular Medicine 132
  • Biomedical Engineering 169
Replace Samuel Rivers with:
Samuel Rivers United States
Jacob Thomsen Lønborg Denmark
Nebojša Radovanović Serbia
Shigeru Fukuzawa Japan
Jun Hua Chong Singapore
Alex R.J. Cale United Kingdom
Kully Sandhu United Kingdom
Danish Ali Pakistan
Halit Yerebakan United States
Dragan Topic Serbia
Jay Gracey relative to Samuel Rivers United States Samuel Rivers's profile →
Citations per field
00.5×50×117×
Samuel Rivers · 1×
Citations per year

Countries citing papers authored by Jay Gracey

Since Specialization
Citations

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

Fields of papers citing papers by Jay Gracey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jay Gracey, 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 Gracey Line = papers co-authored together Jay Gracey links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Effect of remote ischaemic conditioning on clinical outcomes in patients with acute myocardial infarction (CONDI-2/ERIC-PPCI): a single-blind randomised controlled trial
Hit paper breakdown →
2019264
2 2005112
3 2023103
4 202466
5 201315
6 20169

About Jay Gracey

Jay Gracey is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 569 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (2 papers), Blood Pressure and Hypertension Studies (1 paper), Birth, Development, and Health (1 paper), Ion Transport and Channel Regulation (1 paper), Hormonal Regulation and Hypertension (1 paper) and Cardiac Ischemia and Reperfusion (1 paper). The work is most often cited by research in Emergency Medicine (148 citations), Developmental Neuroscience (46 citations), Pathology and Forensic Medicine (174 citations), Cardiology and Cardiovascular Medicine (132 citations) and Biomedical Engineering (169 citations). Jay Gracey has collaborated with scholars based in United Kingdom, Germany and Belgium. Frequent co-authors include Nilesh J. Samani, Peter S. Braund, Martin D. Tobin, Patricia Munroe, Stephen Newhouse, Terry S. Smith, Stuart M. Raleigh, Nuala A. Sheehan, Mark J. Caulfield and Paul Robert Burton. Their work appears in journals such as The Lancet, EuroIntervention, Journal of Human Hypertension, 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.

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