Stephen Pyke
Impact in
- Internal Medicine top 2%
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- Acute Myocardial Infarction Research
Papers in ⓘ
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- Statistical Methods in Clinical Trials 3
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- Meta-analysis and systematic reviews 3
- Co-authors
- Simon G. Thompson (7 shared papers)F. Haverkate (2 shared papers)Joachim Kienast (1 shared paper)J.C.W. van de Loo (1 shared paper)J. Ruth Gallimore (1 shared paper)I. Juhan‐Vague (1 shared paper)Marie‐Christine Alessi (1 shared paper)Jørgen Jespersen (1 shared paper)
- Journals
- Pharmaceutical Statistics (3 papers)Thrombosis and Haemostasis (2 papers)Journal of Allergy and Clinical Immunology (1 paper)New England Journal of Medicine (1 paper)The Lancet (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Stephen Pyke
13 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Internal Medicine 206
- Cardiology and Cardiovascular Medicine 1.2k
- Hematology 528
- Epidemiology 1.3k
- Endocrinology, Diabetes and Metabolism 575
Countries citing papers authored by Stephen Pyke
This map shows the geographic impact of Stephen Pyke'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 Stephen Pyke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Pyke more than expected).
Fields of papers citing papers by Stephen Pyke
This network shows the impact of papers produced by Stephen Pyke. 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 Stephen Pyke. The network helps show where Stephen Pyke may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Pyke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Hemostatic Factors and the Risk of Myocardial Infarction or Sudden Death in Patients with Angina Pectoris Hit paper breakdown → | 1995 | 1483 |
| 2 | Production of C-reactive protein and risk of coronary events in stable and unstable angina Hit paper breakdown → | 1997 | 1240 |
| 3 | 1996 | 454 | |
| 4 | 2003 | 148 | |
| 5 | 1997 | 86 | |
| 6 | 1995 | 43 | |
| 7 | 1993 | 22 | |
| 8 | 2010 | 13 | |
| 9 | 2010 | 13 | |
| 10 | 2010 | 6 | |
| 11 | 1993 | 6 | |
| 12 | 1996 | 6 | |
| 13 | 2002 | 3 | |
| 14 | The potential for bias in the reporting of industry sponsored trials | 2011 | 0 |
About Stephen Pyke
Stephen Pyke is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Pharmacology, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 3.5k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (3 papers), Meta-analysis and systematic reviews (3 papers), Pharmaceutical industry and healthcare (3 papers), Statistical Methods in Clinical Trials (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Blood properties and coagulation (2 papers), Asthma and respiratory diseases (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Internal Medicine (206 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Hematology (528 citations), Epidemiology (1.3k citations) and Endocrinology, Diabetes and Metabolism (575 citations). Stephen Pyke has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Simon G. Thompson, F. Haverkate, Joachim Kienast, J.C.W. van de Loo, J. Ruth Gallimore, I. Juhan‐Vague, Marie‐Christine Alessi, Jørgen Jespersen, Harold S. Nelson and J.N. Pritchard. Their work appears in journals such as Pharmaceutical Statistics, Thrombosis and Haemostasis, Journal of Allergy and Clinical Immunology, New England Journal of Medicine and The Lancet.
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.