Morten Sengeløv

1.9k total citations · 1 hit paper
36 papers, 1.1k citations indexed

About

Morten Sengeløv is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Morten Sengeløv has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cardiology and Cardiovascular Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Morten Sengeløv's work include Cardiovascular Function and Risk Factors (28 papers), Cardiac Imaging and Diagnostics (12 papers) and Heart Failure Treatment and Management (10 papers). Morten Sengeløv is often cited by papers focused on Cardiovascular Function and Risk Factors (28 papers), Cardiac Imaging and Diagnostics (12 papers) and Heart Failure Treatment and Management (10 papers). Morten Sengeløv collaborates with scholars based in Denmark, United States and Brazil. Morten Sengeløv's co-authors include Tor Biering‐Sørensen, Flemming Javier Olsen, Jan Skov Jensen, Peter Godsk Jørgensen, Amil M. Shah, Niels Eske Bruun, Thomas Fritz‐Hansen, Rasmus Møgelvang, Sofie Biering‐Sørensen and Kotaro Nochioka and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and Heart.

In The Last Decade

Morten Sengeløv

30 papers receiving 1.0k citations

Hit Papers

Global Longitudinal Strain by Echocardiography Predicts L... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morten Sengeløv Denmark 14 960 416 150 100 96 36 1.1k
Ângela Barreto Santiago Santos Brazil 10 1.4k 1.5× 534 1.3× 188 1.3× 93 0.9× 50 0.5× 45 1.5k
Kenji Shiino Australia 12 628 0.7× 330 0.8× 162 1.1× 90 0.9× 40 0.4× 25 729
Melissa Leung Australia 17 851 0.9× 343 0.8× 218 1.5× 86 0.9× 45 0.5× 54 1.1k
Kristoffer Russell Norway 11 1.3k 1.3× 496 1.2× 297 2.0× 109 1.1× 50 0.5× 19 1.3k
Nils Wilhelmsen Norway 4 777 0.8× 291 0.7× 229 1.5× 69 0.7× 52 0.5× 6 844
Alberto Bouzas‐Mosquera Spain 18 901 0.9× 408 1.0× 241 1.6× 148 1.5× 77 0.8× 126 1.2k
Pasquale Innelli Italy 15 525 0.5× 239 0.6× 99 0.7× 114 1.1× 38 0.4× 34 696
Jung-Don Seo Ethiopia 4 1.2k 1.3× 599 1.4× 143 1.0× 102 1.0× 67 0.7× 8 1.3k
Yukari Kobayashi United States 17 647 0.7× 186 0.4× 159 1.1× 227 2.3× 48 0.5× 56 903
Yun-Shik Choi South Korea 8 1.5k 1.5× 736 1.8× 193 1.3× 116 1.2× 72 0.8× 16 1.6k

Countries citing papers authored by Morten Sengeløv

Since Specialization
Citations

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

Fields of papers citing papers by Morten Sengeløv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morten Sengeløv

This figure shows the co-authorship network connecting the top 25 collaborators of Morten Sengeløv. A scholar is included among the top collaborators of Morten Sengeløv 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 Morten Sengeløv. Morten Sengeløv 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.
Skaarup, Kristoffer Grundtvig, Daniel Modin, Mats Christian Højbjerg Lassen, et al.. (2025). Cardiac Characteristics of Hospitalized Influenza Patients: An Interim Analysis From the FluHeart Study. Influenza and Other Respiratory Viruses. 19(2). e70067–e70067.
2.
Sengeløv, Morten, et al.. (2025). Cardiac Structure and Function Among Patients With Heart Failure With Reduced Ejection Fraction and Kidney Disease. Echocardiography. 42(11). e70341–e70341.
3.
Jensen, Christian Fuglesang S., Morten Sengeløv, Nino Emanuel Landler, et al.. (2025). Prevalence of cardiac dysfunction in men with erectile dysfunction: the EDcard study. British Journal of Urology. 136(3). 537–544.
4.
Modin, Daniel, Kristoffer Grundtvig Skaarup, Morten Sengeløv, et al.. (2025). Inflammation and risk of cardiovascular outcomes in patients with atrial fibrillation and flutter: A nationwide registry study. Heart Rhythm. 23(3). e329–e338. 1 indexed citations
5.
Sengeløv, Morten, Kristoffer Grundtvig Skaarup, Niklas Dyrby Johansen, et al.. (2025). High-sensitivity C-reactive protein is associated with altered cardiac structure and function in psoriasis: The PSOCADIA study. IJC Heart & Vasculature. 61. 101832–101832.
6.
Biering‐Sørensen, Tor, Kristoffer Grundtvig Skaarup, Morten Sengeløv, et al.. (2024). Right Ventricular Function in Arrhythmogenic Right Ventricular Cardiomyopathy: Potential Value of Strain Echocardiography. Journal of Clinical Medicine. 13(3). 717–717. 1 indexed citations
7.
Skaarup, Kristoffer Grundtvig, Mats Christian Højbjerg Lassen, Niklas Dyrby Johansen, et al.. (2023). Link between myocardial deformation phenotyping using longitudinal and circumferential strain and risk of incident heart failure and cardiovascular death. European Heart Journal - Cardiovascular Imaging. 24(8). 999–1006. 6 indexed citations
8.
Lassen, Mats Christian Højbjerg, Morten Sengeløv, Kristoffer Grundtvig Skaarup, et al.. (2023). Changes in Myocardial Tissue Velocities over a Decade: The Copenhagen City Heart Study. Journal of the American Society of Echocardiography. 36(6). 672–675. 1 indexed citations
9.
Sengeløv, Morten, Daniel Modin, Peter Godsk Jørgensen, et al.. (2023). Parameters associated with improvement of systolic function in patients with heart failure. Heart. 110(1). 49–56. 4 indexed citations
10.
Olsen, Flemming Javier, Kristoffer Grundtvig Skaarup, Mats Christian Højbjerg Lassen, et al.. (2022). Normal Values for Myocardial Work Indices Derived From Pressure-Strain Loop Analyses: From the CCHS. Circulation Cardiovascular Imaging. 15(5). e013712–e013712. 32 indexed citations
11.
Sengeløv, Morten, Flemming Javier Olsen, Jacob Louis Marott, et al.. (2021). Measures of left atrial function predict incident heart failure in a low‐risk general population: t he Copenhagen City Heart Study. European Journal of Heart Failure. 24(3). 483–493. 11 indexed citations
12.
Brainin, Philip, Morten Sengeløv, Peter Godsk Jørgensen, et al.. (2021). The prognostic value of myocardial deformational patterns on all-cause mortality is modified by ischemic cardiomyopathy in patients with heart failure. International journal of cardiac imaging. 37(11). 3137–3144. 3 indexed citations
13.
Skaarup, Kristoffer Grundtvig, Mats Christian Højbjerg Lassen, Niklas Dyrby Johansen, et al.. (2021). Layer‐specific global longitudinal strain and the risk of heart failure and cardiovascular mortality in the general population: the Copenhagen City Heart Study. European Journal of Heart Failure. 23(11). 1819–1827. 7 indexed citations
14.
Alhakak, Alia Saed, Morten Sengeløv, Peter Godsk Jørgensen, et al.. (2020). LEFT VENTRICULAR SYSTOLIC EJECTION TIME IS AN INDEPENDENT PREDICTOR OF ALL-CAUSE MORTALITY IN HEART FAILURE WITH REDUCED EJECTION FRACTION. Journal of the American College of Cardiology. 75(11). 1776–1776. 1 indexed citations
15.
Lassen, Mats Christian Højbjerg, Morten Sengeløv, Atif Qasim, et al.. (2019). Ratio of Transmitral Early Filling Velocity to Early Diastolic Strain Rate Predicts All-Cause Mortality in Heart Failure with Reduced Ejection Fraction. Journal of Cardiac Failure. 25(11). 877–885. 12 indexed citations
16.
Sengeløv, Morten, Susan Cheng, Tor Biering‐Sørensen, et al.. (2018). Ideal Cardiovascular Health and the Prevalence and Severity of Aortic Stenosis in Elderly Patients. Journal of the American Heart Association. 7(3). 29 indexed citations
17.
Sengeløv, Morten, Peter Godsk Jørgensen, Sune Pedersen, et al.. (2018). ECHOCARDIOGRAPHIC PREDICTORS OF MORTALITY IN WOMEN WITH HEART FAILURE WITH REDUCED EJECTION FRACTION. Journal of the American College of Cardiology. 71(11). A1530–A1530. 2 indexed citations
18.
Modin, Daniel, Morten Sengeløv, Peter Godsk Jørgensen, et al.. (2017). GLOBAL LONGITUDINAL STRAIN CORRECTED BY RR-INTERVAL IS A SUPERIOR PREDICTOR OF ALL-CAUSE MORTALITY IN PATIENTS WITH SYSTOLIC HEART FAILURE AND ATRIAL FIBRILLATION. Journal of the American College of Cardiology. 69(11). 1492–1492. 2 indexed citations
19.
Modin, Daniel, Morten Sengeløv, Peter Godsk Jørgensen, et al.. (2017). Global Longitudinal Strain Corrected by RR Interval is a Superior Predictor of All-Cause Mortality in Patients with Systolic Heart Failure and Atrial Fibrillation. ESC Heart Failure. 5(2). 311–318. 20 indexed citations
20.
Biering‐Sørensen, Tor, Sofie Biering‐Sørensen, Flemming Javier Olsen, et al.. (2016). GLOBAL LONGITUDINAL STRAIN BY ECHOCARDIOGRAPHY PREDICTS LONG TERM RISK OF CARDIOVASCULAR MORBIDITY AND MORTALITY IN A LOW RISK GENERAL POPULATION: THE COPENHAGEN CITY HEART STUDY. Journal of the American College of Cardiology. 67(13). 1584–1584. 39 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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