Jeremy Sayer
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Endocrinology, Diabetes and Metabolism
- Health, Toxicology and Mutagenesis
- Co-authors
- Adam TimmisPaul WilkinsonB MarchantP KopelmanChris GrundySusan M. RayKulasegaram RanjadayalanRajesh Aggarwal
- Topics
- Coronary Interventions and Diagnostics (8 papers)Acute Myocardial Infarction Research (8 papers)Blood Pressure and Hypertension Studies (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineHealth, Toxicology and MutagenesisEndocrinology, Diabetes and Metabolism
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Jeremy Sayer
30 papers receiving 418 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 272
- Surgery 90
- Radiology, Nuclear Medicine and Imaging 73
- Endocrinology, Diabetes and Metabolism 60
- Health, Toxicology and Mutagenesis 54
Countries citing papers authored by Jeremy Sayer
This map shows the geographic impact of Jeremy Sayer'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 Jeremy Sayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Sayer more than expected).
Fields of papers citing papers by Jeremy Sayer
This network shows the impact of papers produced by Jeremy Sayer. 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 Jeremy Sayer. The network helps show where Jeremy Sayer may publish in the future.
Co-authorship network of co-authors of Jeremy Sayer
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Sayer. A scholar is included among the top collaborators of Jeremy Sayer 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 Jeremy Sayer. Jeremy Sayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | Impact of a chronic total occlusion in a non-infarct related artery on clinical outcomes following primary percutaneous intervention in acute ST-elevation myocardial infarction. | 13 |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 31 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 109 | |
| 20 | 6 |
About Jeremy Sayer
Jeremy Sayer is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Emergency Medicine, having authored 32 papers that have together received 428 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (8 papers), Acute Myocardial Infarction Research (8 papers) and Blood Pressure and Hypertension Studies (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (272 citations), Health, Toxicology and Mutagenesis (54 citations) and Endocrinology, Diabetes and Metabolism (60 citations). Jeremy Sayer has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Adam Timmis, Paul Wilkinson, B Marchant, P Kopelman, Chris Grundy, Susan M. Ray, Kulasegaram Ranjadayalan, Rajesh Aggarwal, Gerald Clesham and Refai Showkathali. Their work appears in journals such as Journal of the American College of Cardiology, Biochemical Pharmacology and Heart.
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.