Stephen Pyke

13 papers receiving 3.3k citations

Hit Papers

Production of C-reactive protein and risk of coronary events in stable and unstable angina 1997 · 1.2k citations
1.2k19952026200520154008001.2k

Peers

Stephen Pyke
Comparison fields: 5 of 128
  • Internal Medicine 206
  • Cardiology and Cardiovascular Medicine 1.2k
  • Hematology 528
  • Epidemiology 1.3k
  • Endocrinology, Diabetes and Metabolism 575
Replace Sabine Steiner with:
Sabine Steiner Austria
F. Haverkate Netherlands
Alexander Niessner Austria
Patrick R. Lawler Canada
Gianfranco Gensini Italy
M Brozović United Kingdom
Agostino Gnasso Italy
Peer Grande Denmark
Antonino Buffon Italy
Damiano Baldassarre Italy
Stephen Pyke relative to Sabine Steiner Austria Sabine Steiner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen Pyke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen Pyke Line = papers co-authored together Stephen Pyke links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Hemostatic Factors and the Risk of Myocardial Infarction or Sudden Death in Patients with Angina Pectoris
Hit paper breakdown →
19951483
2
Production of C-reactive protein and risk of coronary events in stable and unstable angina
Hit paper breakdown →
19971240
3 1996454
4 2003148
5 199786
6 199543
7 199322
8 201013
9 201013
10 20106
11 19936
12 19966
13 20023
14
The potential for bias in the reporting of industry sponsored trials
20110

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.

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2026