Jan Engvall

6.0k total citations
178 papers, 3.6k citations indexed

About

Jan Engvall is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jan Engvall has authored 178 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Cardiology and Cardiovascular Medicine, 95 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jan Engvall's work include Cardiac Imaging and Diagnostics (79 papers), Cardiovascular Function and Risk Factors (73 papers) and Advanced MRI Techniques and Applications (54 papers). Jan Engvall is often cited by papers focused on Cardiac Imaging and Diagnostics (79 papers), Cardiovascular Function and Risk Factors (73 papers) and Advanced MRI Techniques and Applications (54 papers). Jan Engvall collaborates with scholars based in Sweden, United States and Belgium. Jan Engvall's co-authors include Tino Ebbers, Ann F. Bolger, Carl‐Johan Carlhäll, Petter Dyverfeldt, Lars Wigström, Matts Karlsson, Bengt Wranne, John‐Peder Escobar Kvitting, Jonatan Eriksson and Eva Nylander and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Physiology.

In The Last Decade

Jan Engvall

169 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Engvall Sweden 32 2.5k 1.8k 601 585 404 178 3.6k
Haruhiko Abe Japan 30 2.8k 1.1× 816 0.5× 770 1.3× 440 0.8× 279 0.7× 252 4.2k
Pierre Croisille France 36 3.0k 1.2× 2.9k 1.6× 660 1.1× 449 0.8× 216 0.5× 193 4.9k
Marcus Carlsson Sweden 37 3.7k 1.5× 2.7k 1.5× 965 1.6× 852 1.5× 779 1.9× 233 5.8k
Pankaj Garg United Kingdom 30 2.7k 1.1× 1.7k 1.0× 493 0.8× 642 1.1× 458 1.1× 190 4.1k
Jos J.M. Westenberg Netherlands 45 4.8k 1.9× 2.7k 1.5× 944 1.6× 1.5k 2.6× 1.2k 3.1× 225 6.1k
Håkan Arheden Sweden 44 5.3k 2.1× 4.3k 2.4× 1.3k 2.1× 963 1.6× 779 1.9× 299 8.0k
J. Graeme Houston United Kingdom 35 828 0.3× 818 0.5× 1.2k 1.9× 977 1.7× 467 1.2× 164 4.0k
Bengt Wranne Sweden 33 2.5k 1.0× 1.3k 0.7× 749 1.2× 877 1.5× 377 0.9× 135 3.6k
Charlotte Manisty United Kingdom 35 3.4k 1.4× 1.6k 0.9× 982 1.6× 563 1.0× 309 0.8× 177 4.7k
Robert Manka Switzerland 35 1.9k 0.8× 2.6k 1.4× 656 1.1× 340 0.6× 289 0.7× 204 4.0k

Countries citing papers authored by Jan Engvall

Since Specialization
Citations

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

Fields of papers citing papers by Jan Engvall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Engvall

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Engvall. A scholar is included among the top collaborators of Jan Engvall 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 Jan Engvall. Jan Engvall 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.
Hofmann, Robin, Martin Jönsson, Aristomenis Manouras, et al.. (2025). The prognostic value of global longitudinal strain in patients with myocardial infarction and preserved ejection fraction: a prespecified substudy of the REDUCE-AMI trial. European Heart Journal - Cardiovascular Imaging. 26(4). 620–627. 1 indexed citations
2.
Rådholm, Karin, Fredrik H. Nyström, Jan Engvall, et al.. (2025). Impaired microcirculation in the skin and subclinical atherosclerosis in individuals with dysglycaemia in a large population-based cohort. Cardiovascular Diabetology. 24(1). 86–86. 2 indexed citations
3.
Björck, Hanna M., Jan Engvall, Marcus Lindenberger, et al.. (2024). Wall shear stress measured with 4D flow CMR correlates with biomarkers of inflammation and collagen synthesis in mild-to-moderate ascending aortic dilation and tricuspid aortic valves. European Heart Journal - Cardiovascular Imaging. 25(10). 1384–1393. 5 indexed citations
4.
Nylander, Eva, et al.. (2023). Right ventricular function in severe aortic stenosis assessed by echocardiography and MRI. Clinical Physiology and Functional Imaging. 44(3). 211–219. 1 indexed citations
5.
Swahn, Eva, et al.. (2023). Prevalence and determinants of dilated ascending aorta in a Swedish population: a case–control study. European Heart Journal Open. 3(5). oead085–oead085. 5 indexed citations
6.
Nylander, Eva, Rolf Svedjeholm, Jan Engvall, et al.. (2022). Evaluation of left ventricular diastolic function in patients operated for aortic stenosis. PLoS ONE. 17(2). e0263824–e0263824. 2 indexed citations
7.
Engvall, Jan, et al.. (2022). A head-to-head comparison of myocardial strain by fast-strain encoding and feature tracking imaging in acute myocardial infarction. Frontiers in Cardiovascular Medicine. 9. 949440–949440. 4 indexed citations
8.
Engvall, Jan, et al.. (2022). Developmental Differences in Left Ventricular Strain in IUGR vs. Control Children the First Three Months of Life. Pediatric Cardiology. 43(6). 1286–1297. 12 indexed citations
9.
Ziegler, Magnus, et al.. (2021). Exploring the Relationships Between Hemodynamic Stresses in the Carotid Arteries. Frontiers in Cardiovascular Medicine. 7. 617755–617755. 8 indexed citations
10.
Chisalita, Simona I., et al.. (2021). Plasma mid-regional pro-atrial natriuretic peptide predicts cardiovascular events in patients with type 2 diabetes independently of subclinical organ damage. Diabetes Research and Clinical Practice. 182. 109095–109095. 3 indexed citations
11.
Henriksson, Lilian, Magnus Janzon, Jan Engvall, et al.. (2019). Evaluation of an AI-based, automatic coronary artery calcium scoring software. European Radiology. 30(3). 1671–1678. 53 indexed citations
12.
Gupta, Vikas, et al.. (2018). Automated multi-atlas segmentation of cardiac 4D flow MRI. Medical Image Analysis. 49. 128–140. 32 indexed citations
13.
Rådholm, Karin, Anders Tengblad, Toste Länne, et al.. (2017). The impact of using sagittal abdominal diameter to predict major cardiovascular events in European patients with type 2 diabetes. Nutrition Metabolism and Cardiovascular Diseases. 27(5). 418–422. 18 indexed citations
14.
Geer, Lina De, Jan Engvall, & Anna Oscarsson. (2015). Strain echocardiography in septic shock – a comparison with systolic and diastolic function parameters, cardiac biomarkers and outcome. Critical Care. 19(1). 122–122. 78 indexed citations
15.
Aneq, Meriam Åström, Eva Nylander, Tino Ebbers, & Jan Engvall. (2011). Determination of right ventricular volume and function using multiple axially rotated MRI slices. Clinical Physiology and Functional Imaging. 31(3). 233–239. 6 indexed citations
16.
Haraldsson, Henrik, Lars Wigström, Magnus Lundberg, et al.. (2008). Improved estimation and visualization of two‐dimensional myocardial strain rate using MR velocity mapping. Journal of Magnetic Resonance Imaging. 28(3). 604–611. 8 indexed citations
17.
Nguyen, Patricia K., Craig H. Meyer, Jan Engvall, Phillip C. Yang, & Michael V. McConnell. (2008). Noninvasive assessment of coronary vasodilation using cardiovascular magnetic resonance in patients at high risk for coronary artery disease. Journal of Cardiovascular Magnetic Resonance. 10(1). 28–28. 19 indexed citations
18.
Yang, Phillip C., Patricia K. Nguyen, Greig Scott, et al.. (2004). Dynamic Real?Time Architecture in Magnetic Resonance Coronary Angiography?A Prospective Clinical Trial. Journal of Cardiovascular Magnetic Resonance. 6(4). 885–894. 5 indexed citations
19.
Payne, Nick, Jan Engvall, P Lancellotti, et al.. (2001). Quantitative stress echocardiography using tissue Doppler can estimate the severity of coronary artery disease. European Heart Journal. 22. 357–357. 1 indexed citations
20.
Payne, Nicola, Britta Lind, Jan Engvall, et al.. (2001). Quantitative stress echocardiography by tissue Doppler should be implemented using simple diagnostic models rather than velocity out-offs : final results of the MYDISE study. European Heart Journal. 22. 358–358. 1 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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