Espen Holte

1.3k total citations · 1 hit paper
52 papers, 896 citations indexed

About

Espen Holte is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Espen Holte has authored 52 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cardiology and Cardiovascular Medicine, 31 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Surgery. Recurrent topics in Espen Holte's work include Cardiac Imaging and Diagnostics (29 papers), Cardiovascular Function and Risk Factors (23 papers) and Cardiac Valve Diseases and Treatments (14 papers). Espen Holte is often cited by papers focused on Cardiac Imaging and Diagnostics (29 papers), Cardiovascular Function and Risk Factors (23 papers) and Cardiac Valve Diseases and Treatments (14 papers). Espen Holte collaborates with scholars based in Norway, Netherlands and United Kingdom. Espen Holte's co-authors include Rune Wiseth, Svend Aakhus, Håvard Dalen, Kaspar Broch, Gabor Kunszt, Brage H. Amundsen, Bjørn Bendz, Jan Kristian Damås, Pål Aukrust and Ola Kleveland and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and European Heart Journal.

In The Last Decade

Espen Holte

40 papers receiving 889 citations

Hit Papers

Effect of a single dose of the interleukin-6 receptor ant... 2016 2026 2019 2022 2016 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Effect of a single dose of the interleukin-6 receptor antagonist tocilizumab on inflammation and troponin T release in patients with non-ST-elevation myocardial infarction: a double-blind, randomized, placebo-controlled phase 2 trial
    2016 288 citations Ola Kleveland, Gabor Kunszt et al. European Heart Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Espen Holte Norway 15 580 280 187 163 154 52 896
Duygu Koçyiğit Türkiye 21 682 1.2× 112 0.4× 146 0.8× 149 0.9× 109 0.7× 74 983
Ivo A. Joosen Netherlands 13 463 0.8× 321 1.1× 255 1.4× 338 2.1× 138 0.9× 16 1.0k
Rajiv Das United Kingdom 13 401 0.7× 149 0.5× 100 0.5× 95 0.6× 86 0.6× 45 611
Charlotte S. Roberts United States 11 844 1.5× 360 1.3× 278 1.5× 247 1.5× 470 3.1× 21 1.4k
Hamza Sunman Türkiye 16 452 0.8× 112 0.4× 204 1.1× 65 0.4× 73 0.5× 67 746
Nikant Sabharwal United Kingdom 10 285 0.5× 287 1.0× 111 0.6× 142 0.9× 170 1.1× 44 755
Mathijs O. Versteylen Netherlands 13 369 0.6× 264 0.9× 207 1.1× 328 2.0× 143 0.9× 16 878
Anita Persson Sweden 7 469 0.8× 89 0.3× 148 0.8× 106 0.7× 230 1.5× 9 852
Eva Rúmiz Spain 14 537 0.9× 333 1.2× 190 1.0× 59 0.4× 53 0.3× 33 868
Bara Erhayiem United Kingdom 19 643 1.1× 425 1.5× 195 1.0× 56 0.3× 53 0.3× 63 983

Countries citing papers authored by Espen Holte

Since Specialization
Citations

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

Fields of papers citing papers by Espen Holte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Espen Holte

This figure shows the co-authorship network connecting the top 25 collaborators of Espen Holte. A scholar is included among the top collaborators of Espen Holte 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 Espen Holte. Espen Holte 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.
Hu, Jieyu, Andreas Østvik, Espen Holte, et al.. (2025). A deep learning-based pipeline for large-scale echocardiography data curation and measurements. European Heart Journal - Digital Health. 6(6). 1194–1203.
2.
Måsøy, Svein‐Erik, Håvard Dalen, Bjørnar Grenne, et al.. (2025). Regional Image Quality Scoring for 2-D Echocardiography Using Deep Learning. Ultrasound in Medicine & Biology. 51(4). 638–649. 2 indexed citations
3.
Østvik, Andreas, Erik Smistad, Bjørnar Grenne, et al.. (2025). Effect of apical foreshortening and transducer angulation on strain measurements: a quantitative investigation. European Heart Journal - Cardiovascular Imaging. 26(Supplement_1).
4.
Smistad, Erik, Andreas Østvik, Espen Holte, et al.. (2025). Deep learning in echocardiography: real-time measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view. European Heart Journal - Cardiovascular Imaging. 26(Supplement_1).
5.
Holte, Espen, Tomaž Podlesnikar, Ahmet Demirkıran, et al.. (2024). European Association of Cardiovascular Imaging survey on the evaluation of mitral regurgitation. European Heart Journal - Cardiovascular Imaging. 25(5). 573–578.
6.
Holte, Espen, et al.. (2024). EasyPISA: Automatic Integrated PISA Measurements of Mitral Regurgitation From 2-D Color-Doppler Using Deep Learning. Ultrasound in Medicine & Biology. 50(11). 1628–1637. 3 indexed citations
7.
Grenne, Bjørnar, Espen Holte, Desalew Mekonnen, et al.. (2024). Mitral Valve Segmentation and Tracking from Transthoracic Echocardiography Using Deep Learning. Ultrasound in Medicine & Biology. 50(5). 661–670. 8 indexed citations
8.
Vinje, Vegard, Steven H J Hageman, Jannick A N Dorresteijn, et al.. (2024). External validation of the HFA-ICOS risk stratification tool for prediction of cardiovascular complications after cancer treatment. European Heart Journal. 45(Supplement_1).
9.
Grenne, Bjørnar, Espen Holte, Håvard Dalen, et al.. (2024). Automatic Detection and Tracking of Anatomical Landmarks in Transesophageal Echocardiography for Quantification of Left Ventricular Function. Ultrasound in Medicine & Biology. 50(6). 797–804. 4 indexed citations
10.
Smistad, Erik, Jieyu Hu, Andreas Østvik, et al.. (2023). Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases. European Heart Journal - Cardiovascular Imaging. 25(3). 383–395. 22 indexed citations
11.
Grenne, Bjørnar, Idar Kirkeby‐Garstad, Håvard Dalen, et al.. (2023). Fully automatic estimation of global left ventricular systolic function using deep learning in transoesophageal echocardiography. PubMed. 1(1). qyad007–qyad007. 10 indexed citations
12.
Smistad, Erik, Andreas Østvik, Bjørnar Grenne, et al.. (2023). Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions. PubMed. 1(2). qyad040–qyad040. 5 indexed citations
13.
Smistad, Erik, et al.. (2023). Real-time guiding by deep learning during echocardiography to reduce left ventricular foreshortening and measurement variability. PubMed. 1(1). qyad012–qyad012. 4 indexed citations
14.
Tari, Atefe R., Vibeke Videm, Geir Bråthen, et al.. (2022). Safety and efficacy of plasma transfusion from exercise-trained donors in patients with early Alzheimer’s disease: protocol for the ExPlas study. BMJ Open. 12(9). e056964–e056964. 8 indexed citations
15.
Bularga, Anda, Antti Saraste, Ricardo Fontes‐Carvalho, et al.. (2020). EACVI survey on investigations and imaging modalities in chronic coronary syndromes. European Heart Journal - Cardiovascular Imaging. 22(1). 1–7. 11 indexed citations
16.
Kleveland, Ola, Thor Ueland, Gabor Kunszt, et al.. (2018). Interleukin-6 receptor inhibition with tocilizumab induces a selective and substantial increase in plasma IP-10 and MIP-1β in non-ST-elevation myocardial infarction. International Journal of Cardiology. 271. 1–7. 27 indexed citations
17.
Murbræch, Klaus, Torgeir Wethal, Knut B. Smeland, et al.. (2016). Valvular Dysfunction in Lymphoma Survivors Treated With Autologous Stem Cell Transplantation. JACC. Cardiovascular imaging. 9(3). 230–239. 36 indexed citations
18.
Kleveland, Ola, Gabor Kunszt, Thor Ueland, et al.. (2016). Effect of a single dose of the interleukin-6 receptor antagonist tocilizumab on inflammation and troponin T release in patients with non-ST-elevation myocardial infarction: a double-blind, randomized, placebo-controlled phase 2 trial. European Heart Journal. 37(30). 2406–2413. 288 indexed citations breakdown →
19.
Holte, Espen, et al.. (2015). Transthoracic Doppler for detection of stenoses in the three main coronary arteries by use of stenotic to prestenotic velocity ratio and aliased coronary flow. European Heart Journal - Cardiovascular Imaging. 16(12). jev158–jev158. 12 indexed citations
20.
Holte, Espen, et al.. (2007). Direct visualization of a significant stenosis of the right coronary artery by transthoracic echocardiography. A case report. Cardiovascular Ultrasound. 5(1). 33–33. 3 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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