Martin Ugander

11.0k total citations · 4 hit papers
187 papers, 7.7k citations indexed

About

Martin Ugander is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Martin Ugander has authored 187 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Cardiology and Cardiovascular Medicine, 114 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Surgery. Recurrent topics in Martin Ugander's work include Cardiac Imaging and Diagnostics (106 papers), Cardiovascular Function and Risk Factors (74 papers) and Advanced MRI Techniques and Applications (73 papers). Martin Ugander is often cited by papers focused on Cardiac Imaging and Diagnostics (106 papers), Cardiovascular Function and Risk Factors (74 papers) and Advanced MRI Techniques and Applications (73 papers). Martin Ugander collaborates with scholars based in Sweden, United States and Australia. Martin Ugander's co-authors include Peter Kellman, Håkan Arheden, Andrew E. Arai, Marcus Carlsson, Einar Heiberg, Henrik Engblom, Erik B. Schelbert, James Moon, Daniel Messroghli and Hui Xue and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Martin Ugander

175 papers receiving 7.6k citations

Hit Papers

align trajectories

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.

Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI)

2016 1.1k citations James Moon, Peter Kellman et al. profile →
Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement

2013 785 citations James Moon, Peter Kellman et al. profile →
Design and validation of Segment - freely available software for cardiovascular image analysis

2010 752 citations Einar Heiberg, Martin Ugander et al. BMC Medical Imaging profile →
Extracellular volume imaging by magnetic resonance imaging provides insights into overt and sub-clinical myocardial pathology

2012 429 citations Martin Ugander, Abiola J Oki et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Ugander Sweden	34	5.3k	4.1k	1.1k	679	668	187	7.7k
Theodoros D. Karamitsos United Kingdom	46	5.8k 1.1×	4.2k 1.0×	1.5k 1.4×	639 0.9×	635 1.0×	221	7.8k
Marcus Carlsson Sweden	37	3.7k 0.7×	2.7k 0.7×	965 0.9×	304 0.4×	852 1.3×	233	5.8k
Frank Rademakers Belgium	44	7.6k 1.4×	3.7k 0.9×	1.7k 1.6×	379 0.6×	1.1k 1.7×	160	9.1k
Håkan Arheden Sweden	44	5.3k 1.0×	4.3k 1.0×	1.3k 1.2×	356 0.5×	963 1.4×	299	8.0k
Hein J. Verberne Netherlands	43	2.8k 0.5×	2.6k 0.6×	1.6k 1.5×	536 0.8×	703 1.1×	197	6.5k
Tomas G. Neilan United States	50	5.2k 1.0×	2.0k 0.5×	687 0.7×	752 1.1×	1.2k 1.7×	216	8.2k
Chiara Bucciarelli‐Ducci United Kingdom	35	4.8k 0.9×	3.1k 0.8×	1.6k 1.5×	289 0.4×	511 0.8×	237	6.2k
Joseph B. Selvanayagam Australia	41	5.3k 1.0×	3.3k 0.8×	1.8k 1.7×	729 1.1×	418 0.6×	187	7.0k
John P. Greenwood United Kingdom	51	7.2k 1.4×	5.5k 1.3×	2.8k 2.7×	584 0.9×	973 1.5×	428	10.9k
Stefan K. Piechnik United Kingdom	56	6.5k 1.2×	6.6k 1.6×	1.3k 1.2×	1.3k 1.9×	785 1.2×	217	12.4k

Countries citing papers authored by Martin Ugander

Since Specialization

Citations

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

Fields of papers citing papers by Martin Ugander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Ugander

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

All Works

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20 of 20 papers shown

Wieslander, Björn, João Filipe Fernandes, Martin Ugander, et al.. (2025). Vortex duration in the pulmonary artery does not depend on vascular Afterload: a sign of adaptation?. Computers in Biology and Medicine. 196(Pt A). 110717–110717.

Li, Annie, Erik B. Schelbert, L. Niklasson, et al.. (2024). Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms. European Heart Journal - Digital Health. 6(1). 45–54. 2 indexed citations

Bryant, Jennifer, et al.. (2024). Lung water density is increased in patients at risk of heart failure and is largely independent of conventional cardiovascular magnetic resonance measures. PubMed. 2(3). qyae089–qyae089.

Hughes, Rebecca, George Thornton, James Malcolmson, et al.. (2024). Accurate diagnosis of apical hypertrophic cardiomyopathy using explainable advanced electrocardiogram analysis. EP Europace. 26(4). 5 indexed citations

Topriceanu, Constantin‐Cristian, Mahmood Ahmad, Rebecca Hughes, et al.. (2023). Accelerated DNA methylation age plays a role in the impact of cardiovascular risk factors on the human heart. Clinical Epigenetics. 15(1). 164–164. 11 indexed citations

Playford, David, et al.. (2023). Prognostic association supports indexing size measures in echocardiography by body surface area. Scientific Reports. 13(1). 19390–19390. 6 indexed citations

Bachárová, Ljuba, Philippe Chevalier, Bülent Görenek, et al.. (2023). ISE/ISHNE expert consensus statement on the ECG diagnosis of left ventricular hypertrophy: The change of the paradigm. Annals of Noninvasive Electrocardiology. 29(1). e13097–e13097. 4 indexed citations

Engblom, Henrik, et al.. (2023). Normal values for native T1 at 1.5 T in the pericardial fluid of healthy volunteers. PubMed. 1(2). qyad028–qyad028. 1 indexed citations

Lindow, Thomas, Aristomenis Manouras, Per Lindqvist, et al.. (2023). Echocardiographic estimation of pulmonary artery wedge pressure: invasive derivation, validation, and prognostic association beyond diastolic dysfunction grading. European Heart Journal - Cardiovascular Imaging. 25(4). 498–509. 4 indexed citations

10.

Lindow, Thomas, Maren Maanja, Erik B. Schelbert, et al.. (2023). Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival. European Heart Journal - Digital Health. 4(5). 384–392. 9 indexed citations

11.

Ugander, Martin, et al.. (2022). Prognostic Association Supports Indexing Size Measures in Echocardiography by Body Surface Area. Heart Lung and Circulation. 31. S174–S174. 1 indexed citations

12.

Le, Thu‐Thao, Jennifer Bryant, Chee Jian Pua, et al.. (2022). Markers of Focal and Diffuse Nonischemic Myocardial Fibrosis Are Associated With Adverse Cardiac Remodeling and Prognosis in Patients With Hypertension: The REMODEL Study. Hypertension. 79(8). 1804–1813. 35 indexed citations

13.

Steding‐Ehrenborg, Katarina, Erik Hedström, Marcus Carlsson, et al.. (2021). Hydraulic force is a novel mechanism of diastolic function that may contribute to decreased diastolic filling in HFpEF and facilitate filling in HFrEF. Journal of Applied Physiology. 130(4). 993–1000. 6 indexed citations

14.

Lundberg, Johan, Per Nordberg, Björn Wieslander, et al.. (2020). The effect of levosimendan on survival and cardiac performance in an ischemic cardiac arrest model – A blinded randomized placebo-controlled study in swine. Resuscitation. 150. 113–120. 8 indexed citations

15.

Loring, Zak, Daniel J. Friedman, Claus Graff, et al.. (2020). Lead one ratio in left bundle branch block predicts poor cardiac resynchronization therapy response. Pacing and Clinical Electrophysiology. 43(5). 503–510. 1 indexed citations

16.

Loring, Zak, Brett D. Atwater, Xiaojuan Xia, et al.. (2019). Low lead one ratio predicts clinical outcomes in left bundle branch block. Journal of Cardiovascular Electrophysiology. 30(5). 709–716. 3 indexed citations

17.

Sahlén, Anders, et al.. (2018). Normal Reference Values for Assessing Diastolic Function Using the Parameterized Diastolic Filling Formalism Method in Patients with Normal Results of Rest and Stress Echocardiography. Ultrasound in Medicine & Biology. 44(11). 2261–2266. 2 indexed citations

18.

Linde, Cecilia, Maria J. Eriksson, Camilla Hage, et al.. (2016). Rationale and Design of the PREFERS (Preserved and Reduced Ejection Fraction Epidemiological Regional Study) Stockholm Heart Failure Study: An Epidemiological Regional Study in Stockholm County of 2.1 Million Inhabitants. European Journal of Heart Failure. 18(10). 1287–1297. 20 indexed citations

19.

Ugander, Martin, Abiola J Oki, Li‐Yueh Hsu, et al.. (2010). Abstract 12126: Myocardial Extracellular Volume Imaging by MRI Quantitatively Characterizes Myocardial Infarction and Subclinical Myocardial Fibrosis. Circulation. 122. 1 indexed citations

20.

Heiberg, Einar, et al.. (2010). Design and validation of Segment - freely available software for cardiovascular image analysis. BMC Medical Imaging. 10(1). 1–1. 752 indexed citations breakdown →

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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