Markus Goeller

2.4k total citations
36 papers, 1.5k citations indexed

About

Markus Goeller is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Markus Goeller has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 23 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Surgery. Recurrent topics in Markus Goeller's work include Cardiovascular Disease and Adiposity (23 papers), Cardiac Imaging and Diagnostics (22 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers). Markus Goeller is often cited by papers focused on Cardiovascular Disease and Adiposity (23 papers), Cardiac Imaging and Diagnostics (22 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers). Markus Goeller collaborates with scholars based in Germany, United States and Australia. Markus Goeller's co-authors include Damini Dey, Stephan Achenbach, Piotr J. Slomka, Daniel S. Berman, Sebastien Cadet, Frédéric Commandeur, Balaji Tamarappoo, Mohamed Marwan, Heidi Gransar and Xi Chen and has published in prestigious journals such as Circulation, European Heart Journal and The American Journal of Cardiology.

In The Last Decade

Markus Goeller

34 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Goeller Germany	18	1.1k	881	609	276	122	36	1.5k
Frédéric Commandeur United States	17	1.0k 0.9×	1.1k 1.2×	489 0.8×	388 1.4×	190 1.6×	33	1.7k
Sebastien Cadet United States	27	1.4k 1.2×	1.5k 1.7×	811 1.3×	387 1.4×	345 2.8×	60	2.3k
Jacek Kwieciński United States	24	1.2k 1.0×	1.2k 1.4×	542 0.9×	255 0.9×	351 2.9×	86	1.9k
Marco Guglielmo Italy	24	1.0k 0.9×	1.0k 1.1×	450 0.7×	370 1.3×	178 1.5×	133	1.7k
Alexander Ivanov United States	15	585 0.5×	819 0.9×	427 0.7×	222 0.8×	117 1.0×	30	1.2k
Edoardo Conte Italy	24	913 0.8×	1.1k 1.3×	458 0.8×	485 1.8×	189 1.5×	137	1.7k
Marly van Assen United States	24	476 0.4×	1.2k 1.3×	344 0.6×	714 2.6×	153 1.3×	89	1.5k
Mariusz Kruk Poland	14	525 0.5×	553 0.6×	492 0.8×	174 0.6×	202 1.7×	63	1.1k
Mhairi Doris United Kingdom	22	921 0.8×	804 0.9×	590 1.0×	187 0.7×	313 2.6×	43	1.6k
Ryo Nakazato United States	33	1.5k 1.3×	2.1k 2.4×	1.4k 2.3×	785 2.8×	285 2.3×	73	3.0k

Countries citing papers authored by Markus Goeller

Since Specialization

Citations

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

Fields of papers citing papers by Markus Goeller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Goeller

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Goeller. A scholar is included among the top collaborators of Markus Goeller 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 Markus Goeller. Markus Goeller 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

Bittner, Daniel O., Markus Goeller, Dorette Raaz‐Schrauder, et al.. (2022). Influence of gender on coronary atherosclerosis and inflammatory biomarker profile: a CT angiographic study. European Heart Journal. 43(Supplement_2).

Goeller, Markus, Dorette Raaz‐Schrauder, Damini Dey, et al.. (2022). Differences of inflammatory cytokine profile in patients with vulnerable plaque: A coronary CTA study. Atherosclerosis. 350. 25–32. 5 indexed citations

Goeller, Markus, et al.. (2021). Influence of reconstruction kernels on the accuracy of CT-derived fractional flow reserve. European Radiology. 32(4). 2604–2610. 6 indexed citations

Goeller, Markus, et al.. (2021). Imaging of the Pericoronary Adipose Tissue (PCAT) Using Cardiac Computed Tomography. Journal of Thoracic Imaging. 36(3). 149–161. 27 indexed citations

Goeller, Markus, Stephan Achenbach, Daniel O. Bittner, et al.. (2021). Pericoronary adipose tissue CT attenuation and its association with serum levels of atherosclerosis-relevant inflammatory mediators, coronary calcification and major adverse cardiac events. Journal of cardiovascular computed tomography. 15(5). 449–454. 35 indexed citations

Ihdayhid, Abdul Rahman, Udit Thakur, Grace Yap, et al.. (2020). Ethnic differences in coronary anatomy, left ventricular mass and CT-derived fractional flow reserve. Journal of cardiovascular computed tomography. 15(3). 249–257. 7 indexed citations

Bittner, Daniel O., Markus Goeller, Damini Dey, et al.. (2020). High levels of eicosapentaenoic acid are associated with lower pericoronary adipose tissue attenuation as measured by coronary CTA. Atherosclerosis. 316. 73–78. 13 indexed citations

Goeller, Markus, Abdul Rahman Ihdayhid, Sebastien Cadet, et al.. (2020). Pericoronary adipose tissue and quantitative global non-calcified plaque characteristics from CT angiography do not differ in matched South Asian, East Asian and European-origin Caucasian patients with stable chest pain. European Journal of Radiology. 125. 108874–108874. 33 indexed citations

Commandeur, Frédéric, Markus Goeller, Aryabod Razipour, et al.. (2019). Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study. Radiology Artificial Intelligence. 1(6). e190045–e190045. 94 indexed citations

10.

Hong, Youngtaek, Frédéric Commandeur, Sebastien Cadet, et al.. (2019). Deep learning-based stenosis quantification from coronary CT angiography. PubMed. 10949. 88–88. 42 indexed citations

11.

Marwan, Mohamed, et al.. (2019). Quantification of epicardial adipose tissue by cardiac CT: Influence of acquisition parameters and contrast enhancement. European Journal of Radiology. 121. 108732–108732. 36 indexed citations

12.

Bittner, Daniel O., Markus Goeller, Y Zopf, Stephan Achenbach, & Mohamed Marwan. (2019). P6164High level of EPA is associated with lower perivascular coronary attenuation as measured by coronary CTA. European Heart Journal. 40(Supplement_1). 1 indexed citations

13.

Ihdayhid, Abdul Rahman, Markus Goeller, Damini Dey, et al.. (2019). Comparison of Coronary Atherosclerotic Plaque Burden and Composition as Assessed on Coronary Computed Tomography Angiography in East Asian and European-Origin Caucasians. The American Journal of Cardiology. 124(7). 1012–1019. 15 indexed citations

14.

Commandeur, Frédéric, Piotr J. Slomka, Markus Goeller, et al.. (2019). 30Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium and epicardial adipose tissue: a prospective study. European Heart Journal. 40(Supplement_1). 15 indexed citations

15.

Ramanathan, Ramshanker, Damini Dey, Bjarne Linde Nørgaard, et al.. (2019). Carotid plaque composition by CT angiography in asymptomatic subjects: a head-to-head comparison to ultrasound. European Radiology. 29(11). 5920–5931. 11 indexed citations

16.

Goeller, Markus, Balaji Tamarappoo, Alan C. Kwan, et al.. (2018). Abstract 15929: Relationship Between Changes in Pericoronary Adipose Tissue Attenuation and Plaque Progression by Coronary CTA. Circulation. 1 indexed citations

17.

Dey, Damini, Sara Gaur, Kristian Altern Øvrehus, et al.. (2018). Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study. European Radiology. 28(6). 2655–2664. 112 indexed citations

18.

Commandeur, Frédéric, Markus Goeller, & Damini Dey. (2018). Cardiac CT: Technological Advances in Hardware, Software, and Machine Learning Applications. Current Cardiovascular Imaging Reports. 11(8). 12 indexed citations

19.

Goeller, Markus, Stephan Achenbach, Mohamed Marwan, et al.. (2017). Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects. Journal of cardiovascular computed tomography. 12(1). 67–73. 166 indexed citations

20.

Albrecht, Moritz H., John W. Nance, U. Joseph Schoepf, et al.. (2017). Diagnostic accuracy of low and high tube voltage coronary CT angiography using an X-ray tube potential-tailored contrast medium injection protocol. European Radiology. 28(5). 2134–2142. 21 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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