Stephen Pyke
Impact in
- Internal Medicine top 2%
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms
Papers in
-
- Meta-analysis and systematic reviews 4
-
- Statistical Methods in Clinical Trials 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)Jørgen Jespersen (1 shared paper)Marie‐Christine Alessi (1 shared paper)Malcolm W. Johnson (1 shared paper)
- Journals
- Thrombosis and Haemostasis (2 papers)Pharmaceutical Statistics (2 papers)BMJ (1 paper)Statistics in Medicine (1 paper)CHEST Journal (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Stephen Pyke
13 papers receiving 3.4k citations
Stephen Pyke's Hit Papers
Peers
Comparison fields: 5 of 124
- Internal Medicine 169
- Hematology 453
- Cardiology and Cardiovascular Medicine 795
- Epidemiology 1.0k
- Endocrinology, Diabetes and Metabolism 422
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 | 1579 |
| 2 | Production of C-reactive protein and risk of coronary events in stable and unstable angina Hit paper breakdown → | 1997 | 1312 |
| 3 | Fibrinolytic Factors and the Risk of Myocardial Infarction or Sudden Death in Patients With Angina Pectoris Hit paper breakdown → | 1996 | 482 |
| 4 | 2003 | 150 | |
| 5 | 1997 | 89 | |
| 6 | 1995 | 44 | |
| 7 | 1993 | 22 | |
| 8 | 2010 | 13 | |
| 9 | 1993 | 10 | |
| 10 | 1996 | 7 | |
| 11 | 2010 | 6 | |
| 12 | 2002 | 2 | |
| 13 | 2011 | 1 | |
| 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, Probability and Uncertainty, Statistics and Probability, Pharmacology, Physiology and Economics and Econometrics, having authored 14 papers that have together received 3.7k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (4 papers), Statistical Methods in Clinical Trials (3 papers), Asthma and respiratory diseases (2 papers), Blood properties and coagulation (2 papers), Pharmaceutical industry and healthcare (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Heart rate and cardiovascular health (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Internal Medicine (169 citations), Hematology (453 citations), Cardiology and Cardiovascular Medicine (795 citations), Epidemiology (1.0k citations) and Endocrinology, Diabetes and Metabolism (422 citations). Stephen Pyke has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Simon G. Thompson, F. Haverkate, Joachim Kienast, J.C.W. van de Loo, J. Ruth Gallimore, Jørgen Jespersen, Marie‐Christine Alessi, Malcolm W. Johnson, Rebecca Hardy and Kenneth R. Chapman. Their work appears in journals such as Thrombosis and Haemostasis, Pharmaceutical Statistics, BMJ, Statistics in Medicine and CHEST Journal.
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.