Stephen E. Kahn

28 papers receiving 629 citations

Peers

Stephen E. Kahn
Comparison fields: 5 of 113
  • Statistics, Probability and Uncertainty 60
  • Biological Psychiatry 15
  • Cardiology and Cardiovascular Medicine 130
  • Physiology 139
  • Endocrinology, Diabetes and Metabolism 67
Replace Mathias Bruegel with:
Mathias Bruegel Germany
Ellis Jacobs United States
Yutong Fei China
Richard Andraws United States
Patrick Chien United Kingdom
Allison Martin Australia
Beata Mickiewicz Canada
Michael J. McGeachie United States
Catherine Cornu France
Margarita Sánchez Simón Spain
Stephen E. Kahn relative to Mathias Bruegel Germany Mathias Bruegel's profile →
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Citations per year

Countries citing papers authored by Stephen E. Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Kahn. 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 E. Kahn. The network helps show where Stephen E. Kahn may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen E. Kahn, 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 E. Kahn Line = papers co-authored together Stephen E. Kahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011169
2 200186
3 200168
4 201255
5 199739
6 200838
7 200035
8 200332
9 200029
10 198725
11 200023
12 199612
13 20059
14 20058
15 20057
16 20047
17 20165
18 19924
19 19794
20 20014

About Stephen E. Kahn

Stephen E. Kahn is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Statistics, Probability and Uncertainty and Surgery, having authored 29 papers that have together received 673 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Acute Myocardial Infarction Research (5 papers), Meta-analysis and systematic reviews (4 papers), Neonatal Health and Biochemistry (3 papers), Cardiac Imaging and Diagnostics (3 papers), Diabetes Management and Research (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (60 citations), Biological Psychiatry (15 citations), Cardiology and Cardiovascular Medicine (130 citations), Physiology (139 citations) and Endocrinology, Diabetes and Metabolism (67 citations). Stephen E. Kahn has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Robert H. Christenson, David M. Bunk, E W Holmes, E. Ralf Schönbrunner, Linda M. Thienpont, Gary L. Myers, Stanley F. Lo, C. Micha Nübling, Catharine M. Sturgeon and Mary Lou Gantzer. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Clinical Chemistry, Pediatric Critical Care Medicine, American Journal of Clinical Pathology and Journal of Nutrition.

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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