Maren Maanja

668 total citations
21 papers, 392 citations indexed

About

Maren Maanja is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Maren Maanja has authored 21 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Maren Maanja's work include Cardiovascular Function and Risk Factors (11 papers), Cardiac Imaging and Diagnostics (9 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Maren Maanja is often cited by papers focused on Cardiovascular Function and Risk Factors (11 papers), Cardiac Imaging and Diagnostics (9 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Maren Maanja collaborates with scholars based in Sweden, United States and Australia. Maren Maanja's co-authors include Martin Ugander, Erik B. Schelbert, Timothy C. Wong, Yaron Fridman, Chris Miller, Peter Kellman, Hussein Abu Daya, Ajay Kadakkal, Kaleab Z. Abebe and Giovanni Quarta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Maren Maanja

20 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maren Maanja Sweden 9 323 153 46 41 23 21 392
Aamir Ali United Kingdom 8 338 1.0× 113 0.7× 88 1.9× 47 1.1× 17 0.7× 16 422
Ajay Kadakkal United States 7 372 1.2× 217 1.4× 92 2.0× 68 1.7× 27 1.2× 20 490
Thomas E Kaier United Kingdom 12 296 0.9× 101 0.7× 104 2.3× 64 1.6× 14 0.6× 33 406
Kevin Steel United States 7 395 1.2× 356 2.3× 63 1.4× 54 1.3× 23 1.0× 21 531
Bilal Khan United States 5 543 1.7× 180 1.2× 43 0.9× 39 1.0× 20 0.9× 12 596
Gonca Suna United Kingdom 5 371 1.1× 254 1.7× 75 1.6× 38 0.9× 37 1.6× 11 467
Djawid Hashemi Germany 11 208 0.6× 77 0.5× 37 0.8× 19 0.5× 11 0.5× 28 251
John Baksi United Kingdom 6 261 0.8× 85 0.6× 74 1.6× 25 0.6× 15 0.7× 21 316
Leena Sulaibeekh United Kingdom 2 563 1.7× 166 1.1× 71 1.5× 44 1.1× 42 1.8× 5 605

Countries citing papers authored by Maren Maanja

Since Specialization
Citations

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

Fields of papers citing papers by Maren Maanja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maren Maanja

This figure shows the co-authorship network connecting the top 25 collaborators of Maren Maanja. A scholar is included among the top collaborators of Maren Maanja 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 Maren Maanja. Maren Maanja 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.
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
2.
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
3.
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
4.
5.
Harmon, David, et al.. (2023). Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation. Arrhythmia & Electrophysiology Review. 12. e12–e12. 25 indexed citations
6.
Siontis, Konstantinos C., Michael J. Ackerman, Zachi I. Attia, et al.. (2023). Saliency maps provide insights into artificial intelligence-based electrocardiography models for detecting hypertrophic cardiomyopathy. Journal of Electrocardiology. 81. 286–291. 16 indexed citations
7.
Maanja, Maren, Todd T. Schlegel, Björn Wieslander, et al.. (2022). An electrocardiography score predicts heart failure hospitalization or death beyond that of cardiovascular magnetic resonance imaging. Scientific Reports. 12(1). 18364–18364. 1 indexed citations
8.
Maanja, Maren, Todd T. Schlegel, Rebecca Kozor, et al.. (2022). Improved evaluation of left ventricular hypertrophy using the spatial QRS-T angle by electrocardiography. Scientific Reports. 12(1). 15106–15106. 3 indexed citations
9.
Maanja, Maren, Peter A. Noseworthy, Jeffrey B. Geske, et al.. (2022). Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practice. SHILAP Revista de lepidopterología. 3(6). 289–296. 11 indexed citations
10.
Hallqvist, Linn, et al.. (2021). Predicting peri-operative troponin elevation by advanced electrocardiography. Journal of Electrocardiology. 68. 1–5. 1 indexed citations
11.
Maanja, Maren, et al.. (2021). Advanced Electrocardiography Has A High Negative Predictive Value For Ruling Out Significant Coronary Artery Disease By Cardiovascular CT. Journal of cardiovascular computed tomography. 15(4). S1–S1.
12.
Fridman, Yaron, Maren Maanja, Eric Olausson, et al.. (2020). Extracellular Volume and Global Longitudinal Strain Both Associate With Outcomes But Correlate Minimally. JACC. Cardiovascular imaging. 13(11). 2343–2354. 38 indexed citations
13.
Maanja, Maren, Todd T. Schlegel, Rebecca Kozor, et al.. (2019). The electrical determinants of increased wall thickness and mass in left ventricular hypertrophy. Journal of Electrocardiology. 58. 80–86. 9 indexed citations
14.
Olausson, Eric, Maren Maanja, Timothy C. Wong, et al.. (2019). DISTINCT MYOCARDIAL DISEASE PATTERNS DETECTED ON FREE-BREATHING MOTION-CORRECTED LATE GADOLINIUM ENHANCEMENT ASSOCIATE WITH BASELINE DISEASE SEVERITY AND INCIDENT OUTCOMES IN A LARGE CLINICAL POPULATION. Journal of the American College of Cardiology. 73(9). 1491–1491. 1 indexed citations
15.
Zong, Yanan, Maren Maanja, Roza Chaireti, et al.. (2019). Substantial prevalence of subclinical cardiovascular diseases in patients with hemophilia A evaluated by advanced electrocardiography. Journal of Electrocardiology. 58. 171–175. 3 indexed citations
16.
Treibel, Thomas A., Yaron Fridman, Maren Maanja, et al.. (2019). Extracellular Volume Associates With Outcomes More Strongly Than Native or Post-Contrast Myocardial T1. JACC. Cardiovascular imaging. 13(1). 44–54. 70 indexed citations
17.
Maanja, Maren, et al.. (2019). The dynamics of extracellular gadolinium-based contrast agent excretion into pleural and pericardial effusions quantified by T1 mapping cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 21(1). 71–71. 3 indexed citations
18.
Olausson, Eric, Maren Maanja, Yaron Fridman, et al.. (2018). DIFFUSE MYOCARDIAL FIBROSIS MEASURED BY EXTRACELLULAR VOLUME ASSOCIATES WITH INCIDENT VENTRICULAR ARRHYTHMIA IN IMPLANTABLE CARDIOVERTER DEFIBRILLATOR RECIPIENTS MORE THAN FOCAL FIBROSIS. Journal of the American College of Cardiology. 71(11). A1454–A1454. 3 indexed citations
19.
Maanja, Maren, Björn Wieslander, Todd T. Schlegel, et al.. (2017). Diffuse Myocardial Fibrosis Reduces Electrocardiographic Voltage Measures of Left Ventricular Hypertrophy Independent of Left Ventricular Mass. Journal of the American Heart Association. 6(1). 34 indexed citations
20.
Schelbert, Erik B., Yaron Fridman, Timothy C. Wong, et al.. (2017). Temporal Relation Between Myocardial Fibrosis and Heart Failure With Preserved Ejection Fraction. JAMA Cardiology. 2(9). 995–995. 157 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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