Stein Ørn

12.0k total citations
89 papers, 1.8k citations indexed

About

Stein Ørn is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Stein Ørn has authored 89 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cardiology and Cardiovascular Medicine, 35 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Surgery. Recurrent topics in Stein Ørn's work include Cardiac Imaging and Diagnostics (34 papers), Cardiovascular Effects of Exercise (20 papers) and Acute Myocardial Infarction Research (20 papers). Stein Ørn is often cited by papers focused on Cardiac Imaging and Diagnostics (34 papers), Cardiovascular Effects of Exercise (20 papers) and Acute Myocardial Infarction Research (20 papers). Stein Ørn collaborates with scholars based in Norway, United States and United Kingdom. Stein Ørn's co-authors include Kenneth Dickstein, Thor Edvardsen, Cord Manhenke, Iain Squire, Tom Eirik Mollnes, Harald Brunvand, Benthe Sjøli, Bjørnar Grenne, Pål Aukrust and Leik Woie and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Stein Ørn

81 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stein Ørn 1.3k 730 359 204 140 89 1.8k
François Tournoux 1.0k 0.8× 491 0.7× 209 0.6× 170 0.8× 29 0.2× 65 1.5k
Dirar S. Khoury 2.4k 1.9× 822 1.1× 394 1.1× 480 2.4× 53 0.4× 47 2.9k
Rui Cruz Ferreira 1.1k 0.8× 315 0.4× 340 0.9× 96 0.5× 44 0.3× 250 1.4k
Vittoria Rizzello 979 0.8× 686 0.9× 459 1.3× 125 0.6× 279 2.0× 75 1.6k
Peter L. M. Kerkhof 803 0.6× 276 0.4× 316 0.9× 60 0.3× 99 0.7× 91 1.3k
Renu Virmani 657 0.5× 454 0.6× 734 2.0× 170 0.8× 173 1.2× 22 1.6k
Brage H. Amundsen 2.8k 2.2× 1.4k 1.9× 533 1.5× 238 1.2× 189 1.4× 54 3.5k
Martin Pěnička 2.4k 1.8× 821 1.1× 907 2.5× 225 1.1× 32 0.2× 131 2.9k
Serdar Aksöyek 1.2k 1.0× 228 0.3× 313 0.9× 115 0.6× 73 0.5× 77 1.8k
Elias Gialafos 1.8k 1.4× 295 0.4× 225 0.6× 169 0.8× 84 0.6× 77 2.5k

Countries citing papers authored by Stein Ørn

Since Specialization
Citations

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

Fields of papers citing papers by Stein Ørn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stein Ørn. 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 Stein Ørn. The network helps show where Stein Ørn may publish in the future.

Co-authorship network of co-authors of Stein Ørn

This figure shows the co-authorship network connecting the top 25 collaborators of Stein Ørn. A scholar is included among the top collaborators of Stein Ørn 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 Stein Ørn. Stein Ørn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eftestøl, Trygve, et al.. (2025). Texture-based probability mapping for automatic assessment of myocardial injury in late gadolinium enhancement images after revascularized STEMI. International Journal of Cardiology. 427. 133107–133107. 1 indexed citations
2.
Myhre, Peder L., et al.. (2024). Changes in 6‐min walk test is an independent predictor of death in chronic heart failure with reduced ejection fraction. European Journal of Heart Failure. 26(12). 2608–2615. 1 indexed citations
3.
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Wiktorski, Tomasz, et al.. (2023). Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise. 3(1). 11–11. 3 indexed citations
6.
Wiktorski, Tomasz, et al.. (2023). Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction. MethodsX. 11. 102381–102381. 4 indexed citations
7.
Hall, Trygve S., Stein Ørn, Faı̈ez Zannad, et al.. (2022). The Association of Smoking with Hospitalization and Mortality Differs According to Sex in Patients with Heart Failure Following Myocardial Infarction. Journal of Women s Health. 31(3). 310–320. 3 indexed citations
8.
Kleiven, Øyunn, Thijs M.H. Eijsvogels, Øyvind Skadberg, et al.. (2021). Determinants of Interindividual Variation in Exercise‐Induced Cardiac Troponin I Levels. Journal of the American Heart Association. 10(17). e021710–e021710. 5 indexed citations
9.
Aengevaeren, Vincent L., Aaron L. Baggish, Eugene H. Chung, et al.. (2021). Exercise-Induced Cardiac Troponin Elevations: From Underlying Mechanisms to Clinical Relevance. Circulation. 144(24). 1955–1972. 70 indexed citations
10.
Królak, Aleksandra, et al.. (2020). Artifact Correction in Short-Term HRV during Strenuous Physical Exercise. Sensors. 20(21). 6372–6372. 12 indexed citations
11.
Grundtvig, Morten, et al.. (2020). 6 Min Walk Test is a Strong Independent Predictor of Death in Outpatients with Heart Failure. ESC Heart Failure. 7(5). 2904–2911. 29 indexed citations
12.
Engan, Kjersti, et al.. (2012). Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups. European Signal Processing Conference. 2586–2590. 7 indexed citations
13.
Eftestøl, Trygve, Leik Woie, Kjersti Engan, et al.. (2012). Texture analysis to assess risk of serious arrhythmias after myocardial infarction. Computing in Cardiology. 365–368. 6 indexed citations
14.
Smedsrud, Marit Kristine, Sebastian Imre Sarvari, Kristina H. Haugaa, et al.. (2012). Duration of Myocardial Early Systolic Lengthening Predicts the Presence of Significant Coronary Artery Disease. Journal of the American College of Cardiology. 60(12). 1086–1093. 66 indexed citations
15.
Gullestad, Lars, Stein Ørn, Kenneth Dickstein, et al.. (2012). Intravenous immunoglobulin does not reduce left ventricular remodeling in patients with myocardial dysfunction during hospitalization after acute myocardial infarction. International Journal of Cardiology. 168(1). 212–218. 24 indexed citations
16.
Ørn, Stein, Cord Manhenke, T. Ueland, et al.. (2009). C-reactive protein, infarct size, microvascular obstruction, and left-ventricular remodelling following acute myocardial infarction. European Heart Journal. 30(10). 1180–1186. 142 indexed citations
17.
Ørn, Stein, Cord Manhenke, Ole Jacob Greve, et al.. (2009). Microvascular obstruction is a major determinant of infarct healing and subsequent left ventricular remodelling following primary percutaneous coronary intervention. European Heart Journal. 30(16). 1978–1985. 133 indexed citations
18.
Sjøli, Benthe, Stein Ørn, Bjørnar Grenne, et al.. (2009). Diagnostic Capability and Reproducibility of Strain by Doppler and by Speckle Tracking in Patients With Acute Myocardial Infarction. JACC. Cardiovascular imaging. 2(1). 24–33. 116 indexed citations
19.
Munk, Peter Scott, Cord Manhenke, Stein Ørn, & Ole Jacob Greve. (2008). Kontrastbasert MR-undersøkelse av hjerte ved akutt myokarditt. Tidsskrift for Den Norske Laegeforening.
20.
Ørn, Stein, John G.F. Cleland, Matti Romo, John Kjekshus, & Kenneth Dickstein. (2005). Recurrent infarction causes the most deaths following myocardial infarction with left ventricular dysfunction. The American Journal of Medicine. 118(7). 752–758. 55 indexed citations

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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