Leik Woie

838 total citations
39 papers, 664 citations indexed

About

Leik Woie is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Leik Woie has authored 39 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 16 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Surgery. Recurrent topics in Leik Woie's work include Cardiac Imaging and Diagnostics (16 papers), Advanced MRI Techniques and Applications (10 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Leik Woie is often cited by papers focused on Cardiac Imaging and Diagnostics (16 papers), Advanced MRI Techniques and Applications (10 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Leik Woie collaborates with scholars based in Norway, United States and Argentina. Leik Woie's co-authors include Torbjørn Aarsland, Kjersti Engan, Grethe Albrektsen, Stein Ørn, Knud Landmark, B Kaada, Trygve Eftestøl, Dennis W Nilsen, Heidi Grundt and Liv Storstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Leik Woie

38 papers receiving 626 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leik Woie Norway 15 231 194 137 111 83 39 664
A Borghetti Italy 20 191 0.8× 350 1.8× 116 0.8× 209 1.9× 230 2.8× 78 1.3k
Abdul Al‐Hesayen Canada 16 81 0.4× 637 3.3× 81 0.6× 85 0.8× 230 2.8× 31 930
P Dewailly France 16 103 0.4× 158 0.8× 35 0.3× 195 1.8× 135 1.6× 49 677
Y. Plantinga Italy 18 146 0.6× 548 2.8× 33 0.2× 111 1.0× 137 1.7× 26 947
Gianmaria Brambilla Italy 21 150 0.6× 1.1k 5.6× 66 0.5× 214 1.9× 151 1.8× 57 1.4k
Jennifer J. DuPont United States 17 216 0.9× 495 2.6× 52 0.4× 241 2.2× 202 2.4× 32 1.2k
Sheung-Wai Li China 14 159 0.7× 353 1.8× 68 0.5× 60 0.5× 115 1.4× 19 817
Helge Hohage Germany 16 53 0.2× 548 2.8× 45 0.3× 199 1.8× 77 0.9× 33 1.0k
Alphons J.H.M. Houben Netherlands 16 53 0.2× 344 1.8× 68 0.5× 106 1.0× 140 1.7× 38 709
Manfred Zehetgruber Austria 16 48 0.2× 410 2.1× 165 1.2× 254 2.3× 175 2.1× 36 1.0k

Countries citing papers authored by Leik Woie

Since Specialization
Citations

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

Fields of papers citing papers by Leik Woie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leik Woie

This figure shows the co-authorship network connecting the top 25 collaborators of Leik Woie. A scholar is included among the top collaborators of Leik Woie 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 Leik Woie. Leik Woie 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.
Engan, Kjersti, et al.. (2015). Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. Artificial Intelligence in Medicine. 64(3). 205–215. 43 indexed citations
2.
Engan, Kjersti, Leik Woie, & Trygve Eftestøl. (2014). Defining angular and radial positions and parameters for myocardial pixels in cardiac MR images. BIBSYS Brage (BIBSYS (Norway)). 941–944. 1 indexed citations
3.
Woie, Leik, Trygve Eftestøl, Kjersti Engan, et al.. (2013). Comparing a novel automatic 3D method for LGE-CMR quantification of scar size with established methods. International journal of cardiac imaging. 30(2). 339–347. 7 indexed citations
4.
Engan, Kjersti, et al.. (2013). Probability mapping of scarred myocardium using texture and intensity features in CMR images. BioMedical Engineering OnLine. 12(1). 91–91. 23 indexed citations
5.
Eftestøl, Trygve, Jan Terje Kvaløy, Dennis W Nilsen, & Leik Woie. (2012). Analysis of intracardiac electrogram changes. Computing in Cardiology. 669–672. 1 indexed citations
6.
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
7.
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
8.
9.
Woie, Leik, Trygve Eftestøl, Kjersti Engan, et al.. (2011). The heart rate of ventricular tachycardia following an old myocardial infarction is inversely related to the size of scarring. EP Europace. 13(6). 864–868. 11 indexed citations
10.
Engan, Kjersti, et al.. (2011). Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. 114. 65–68. 4 indexed citations
11.
Engan, Kjersti, et al.. (2011). Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. PubMed. 2011. 5698–5701. 14 indexed citations
12.
13.
Engan, Kjersti, Trygve Eftestøl, Stein Ørn, Jan Terje Kvaløy, & Leik Woie. (2010). Exploratory data analysis of image texture and statistical features on myocardium and infarction areas in cardiac magnetic resonance images. PubMed. 2010. 5728–5731. 26 indexed citations
14.
Albrektsen, Grethe, et al.. (2001). Effects of a high-dose concentrate of n−3 fatty acids or corn oil introduced early after an acute myocardial infarction on serum triacylglycerol and HDL cholesterol. American Journal of Clinical Nutrition. 74(1). 50–56. 162 indexed citations
15.
Grundt, Heidi, et al.. (1999). Atherothrombogenic Risk Modulation by n-3 Fatty Acids Was not Associated with Changes in Homocysteine in Subjects with Combined Hyperlipidaemia. Thrombosis and Haemostasis. 81(4). 561–565. 34 indexed citations
16.
Mansoor, Mohammad Azam, O. Kristensen, Tor Hervig, et al.. (1997). Low Concentrations of Folate in Serum and Erythrocytes of Smokers: Methionine Loading Decreases Folate Concentrations in Serum of Smokers and Nonsmokers. Clinical Chemistry. 43(11). 2192–2194. 44 indexed citations
17.
Grundt, Heidi, Dennis W Nilsen, Ø. Hetland, et al.. (1995). Improvement of serum lipids and blood pressure during intervention with n‐3 fatty acids was not associated with changes in insulin levels in subjects with combined hyperlipidaemia. Journal of Internal Medicine. 237(3). 249–259. 49 indexed citations
18.
Kaada, B & Leik Woie. (1990). Effects of an angiotensin converting enzyme (ACE) inhibitor on plasma endorphin level. General Pharmacology The Vascular System. 21(5). 693–695. 6 indexed citations
19.
Rønnevik, Per K., et al.. (1989). Effect of metoprolol on early exercise-induced ST-segment changes and ventricular arrhythmias in patients with suspected acute myocardial infarction. International Journal of Cardiology. 22(1). 51–57. 2 indexed citations
20.
Woie, Leik & Liv Storstein. (1981). Successful treatment of suicidal verapamil poisoning with calcium gluconate. European Heart Journal. 2(3). 239–242. 27 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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