Ingo Eitel

1.2k total citations
36 papers, 769 citations indexed

About

Ingo Eitel is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ingo Eitel has authored 36 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cardiology and Cardiovascular Medicine, 27 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in Ingo Eitel's work include Cardiac Imaging and Diagnostics (26 papers), Cardiovascular Function and Risk Factors (14 papers) and Advanced MRI Techniques and Applications (12 papers). Ingo Eitel is often cited by papers focused on Cardiac Imaging and Diagnostics (26 papers), Cardiovascular Function and Risk Factors (14 papers) and Advanced MRI Techniques and Applications (12 papers). Ingo Eitel collaborates with scholars based in Germany, United States and Australia. Ingo Eitel's co-authors include Hölger Thiele, Thomas Stiermaier, Andreas Schuster, Johannes T. Kowallick, Gerd Hasenfuß, Joachim Lotz, Matthias Gutberlet, Shelby Kutty, Torben Lange and Alexander Koschalka and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Ingo Eitel

29 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingo Eitel Germany 16 712 591 159 26 24 36 769
Stephan Fluechter Germany 10 551 0.8× 337 0.6× 162 1.0× 27 1.0× 52 2.2× 12 603
Kenichiro Yuba Japan 10 407 0.6× 273 0.5× 203 1.3× 22 0.8× 10 0.4× 22 449
Gabriella Locorotondo Italy 8 306 0.4× 200 0.3× 114 0.7× 33 1.3× 25 1.0× 46 351
Thomas Emil Christensen Denmark 14 364 0.5× 319 0.5× 116 0.7× 13 0.5× 14 0.6× 27 489
Lazzaro Paraggio Italy 10 361 0.5× 275 0.5× 208 1.3× 65 2.5× 23 1.0× 43 439
Gentian Memisha Italy 11 564 0.8× 273 0.5× 310 1.9× 12 0.5× 14 0.6× 16 592
Eitaro Fujii Japan 12 330 0.5× 138 0.2× 102 0.6× 26 1.0× 16 0.7× 39 395
G SUTHERLAND Belgium 5 367 0.5× 197 0.3× 92 0.6× 45 1.7× 23 1.0× 7 396
Vincenzo Guiducci Italy 10 405 0.6× 137 0.2× 353 2.2× 66 2.5× 29 1.2× 38 487
Benthe Sjøli Norway 11 702 1.0× 450 0.8× 188 1.2× 21 0.8× 33 1.4× 13 763

Countries citing papers authored by Ingo Eitel

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Eitel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Eitel

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Eitel. A scholar is included among the top collaborators of Ingo Eitel 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 Ingo Eitel. Ingo Eitel 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.
Schulz, Alexander, Curt H. Hagedorn, Thomas Stiermaier, et al.. (2025). CMR-Derived epicardial adipose tissue predicts risk of major adverse cardiac events following myocardial infarction independent of obesity and LV function. Journal of Cardiovascular Magnetic Resonance. 27. 101364–101364. 2 indexed citations
2.
3.
Novo, Giuseppina, Luca Arcari, Cristina Madaudo, et al.. (2025). Blood Cell Subtype patterns in Takotsubo Syndrome and acute coronary syndrome: analysis from the GEIST registry. Atherosclerosis. 411. 120571–120571. 1 indexed citations
4.
Kutschka, Ingo, Sören Brandenburg, Felix Bremmer, et al.. (2025). Two-Center Surgical Experience from the First-in-Human BioVAT-HF-DZHK20 Clinical Trial. The Journal of Heart and Lung Transplantation. 44(4). S64–S65.
5.
Burghaus, Ina, Tobias Krämer, Stefan Blankenberg, et al.. (2025). Rationale and design of the cyclosporine in Takotsubo syndrome (CIT) trial. American Heart Journal. 289. 147–157.
6.
Stiermaier, Thomas & Ingo Eitel. (2024). Happy heart syndrome – The impact of different triggers on the characteristics of takotsubo syndrome. Trends in Cardiovascular Medicine. 35(3). 197–201.
7.
Backhaus, Sören J., Johannes T. Kowallick, Ruben Evertz, et al.. (2022). Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction. Scientific Reports. 12(1). 12220–12220. 24 indexed citations
8.
Lange, Torben, Thomas Stiermaier, Sören J. Backhaus, et al.. (2020). FUNCTIONAL AND PROGNOSTIC IMPLICATIONS OF CARDIAC MAGNETIC RESONANCE FEATURE TRACKING DERIVED REMOTE MYOCARDIAL STRAIN ANALYSES IN PATIENTS FOLLOWING ACUTE MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 75(11). 1566–1566. 3 indexed citations
9.
Lange, Torben, Thomas Stiermaier, Sören J. Backhaus, et al.. (2020). Functional and prognostic implications of cardiac magnetic resonance feature tracking-derived remote myocardial strain analyses in patients following acute myocardial infarction. Clinical Research in Cardiology. 110(2). 270–280. 17 indexed citations
10.
Schuster, Andreas, Torben Lange, Sören J. Backhaus, et al.. (2020). ARTIFICIAL INTELLIGENCE BASED FULLY AUTOMATED MYOCARDIAL FUNCTION ASSESSMENT FOR DIAGNOSTIC AND PROGNOSTIC STRATIFICATION FOLLOWING MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 75(11). 1565–1565. 1 indexed citations
11.
Backhaus, Sören J., Johannes T. Kowallick, Thomas Stiermaier, et al.. (2020). Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Risk Assessment After Acute Myocardial Infarction in Patients With Type 2 Diabetes. Diabetes. 69(7). 1540–1548. 10 indexed citations
12.
Schuster, Andreas, Sören J. Backhaus, Thomas Stiermaier, et al.. (2019). Left Atrial Function with MRI Enables Prediction of Cardiovascular Events after Myocardial Infarction: Insights from the AIDA STEMI and TATORT NSTEMI Trials. Radiology. 293(2). 292–302. 61 indexed citations
13.
Backhaus, Sören J., Johannes T. Kowallick, Thomas Stiermaier, et al.. (2019). Culprit vessel-related myocardial mechanics and prognostic implications following acute myocardial infarction. Clinical Research in Cardiology. 109(3). 339–349. 25 indexed citations
14.
Backhaus, Sören J., Johannes T. Kowallick, Thomas Stiermaier, et al.. (2019). Atrioventricular mechanical coupling and major adverse cardiac events in female patients following acute ST elevation myocardial infarction. International Journal of Cardiology. 299. 31–36. 10 indexed citations
15.
Stiermaier, Thomas, Sören J. Backhaus, Torben Lange, et al.. (2019). Cardiac Magnetic Resonance Left Ventricular Mechanical Uniformity Alterations for Risk Assessment After Acute Myocardial Infarction. Journal of the American Heart Association. 8(16). e011576–e011576. 6 indexed citations
16.
Backhaus, Sören J., Thomas Stiermaier, Torben Lange, et al.. (2018). Temporal changes within mechanical dyssynchrony and rotational mechanics in Takotsubo syndrome: A cardiovascular magnetic resonance imaging study. International Journal of Cardiology. 273. 256–262. 16 indexed citations
17.
Eitel, Ingo, Thomas Stiermaier, Torben Lange, et al.. (2018). Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Prediction of Cardiovascular Events Following Myocardial Infarction. JACC. Cardiovascular imaging. 11(10). 1433–1444. 143 indexed citations
18.
Stiermaier, Thomas, Torben Lange, Amedeo Chiribiri, et al.. (2018). Left ventricular myocardial deformation in Takotsubo syndrome: a cardiovascular magnetic resonance myocardial feature tracking study. European Radiology. 28(12). 5160–5170. 28 indexed citations
19.
Eitel, Ingo, Thomas Stiermaier, Torben Lange, et al.. (2017). Abstract 14514: Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Prediction of Cardiovascular Events Following Myocardial Infarction. Circulation. 1 indexed citations
20.
Lücke, Christian, Kathrin Schindler, Lukas Lehmkuhl, et al.. (2010). Prevalence and functional impact of lipomatous metaplasia in scar tissue following myocardial infarction evaluated by MRI. European Radiology. 20(9). 2074–2083. 22 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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