Annika Schuhbäck

765 total citations
15 papers, 531 citations indexed

About

Annika Schuhbäck is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Annika Schuhbäck has authored 15 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Annika Schuhbäck's work include Cardiac Imaging and Diagnostics (14 papers), Advanced X-ray and CT Imaging (8 papers) and Advanced MRI Techniques and Applications (5 papers). Annika Schuhbäck is often cited by papers focused on Cardiac Imaging and Diagnostics (14 papers), Advanced X-ray and CT Imaging (8 papers) and Advanced MRI Techniques and Applications (5 papers). Annika Schuhbäck collaborates with scholars based in Germany, United States and Egypt. Annika Schuhbäck's co-authors include Stephan Achenbach, Mohamed Marwan, Tobias Pflederer, Dieter Ropers, Johannes Rixe, Christian W. Hamm, Werner G. Daniel, Soeren Gauss, Helge Möllmann and Andreas Rolf and has published in prestigious journals such as Heart, Atherosclerosis and European Radiology.

In The Last Decade

Annika Schuhbäck

14 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annika Schuhbäck Germany 9 442 317 229 179 73 15 531
Khristine Ghemigian United States 8 225 0.5× 168 0.5× 191 0.8× 68 0.4× 54 0.7× 9 323
Martin Seltmann Germany 9 607 1.4× 226 0.7× 151 0.7× 365 2.0× 87 1.2× 13 669
Philip Montana United States 4 277 0.6× 151 0.5× 160 0.7× 51 0.3× 43 0.6× 4 338
Ronaldo S.L. Lima Brazil 9 342 0.8× 151 0.5× 203 0.9× 99 0.6× 21 0.3× 15 426
Cornelia Sehnert Germany 5 335 0.8× 194 0.6× 120 0.5× 127 0.7× 48 0.7× 8 374
Güray Öncel Türkiye 8 282 0.6× 126 0.4× 61 0.3× 192 1.1× 61 0.8× 24 359
Millie Gomez United States 8 399 0.9× 184 0.6× 180 0.8× 151 0.8× 37 0.5× 13 434
Jean‐François Surmely Japan 9 511 1.2× 529 1.7× 289 1.3× 170 0.9× 129 1.8× 17 723
Anoeshka S. Dharampal Netherlands 14 531 1.2× 257 0.8× 170 0.7× 252 1.4× 91 1.2× 21 597
Fumio Inoue Japan 12 290 0.7× 240 0.8× 148 0.6× 126 0.7× 164 2.2× 15 436

Countries citing papers authored by Annika Schuhbäck

Since Specialization
Citations

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

Fields of papers citing papers by Annika Schuhbäck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Schuhbäck

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

All Works

15 of 15 papers shown
1.
Marwan, Mohamed, Michaela M. Hell, Annika Schuhbäck, et al.. (2017). CT Attenuation of Pericoronary Adipose Tissue in Normal Versus Atherosclerotic Coronary Segments as Defined by Intravascular Ultrasound. Journal of Computer Assisted Tomography. 41(5). 762–767. 42 indexed citations
2.
Schuhbäck, Annika, et al.. (2016). Diamond-Forrester und Kardio-CT. Herz. 41(5). 371–375. 2 indexed citations
3.
Kütting, Maximilian, Buntaro Fujita, Annika Schuhbäck, et al.. (2016). Dual source computed tomography based analysis of stent performance, its association with valvular calcification and residual aortic regurgitation after implantation of a balloon-expandable transcatheter heart valve. Interactive Cardiovascular and Thoracic Surgery. 24(4). ivw432–ivw432. 2 indexed citations
4.
Achenbach, Stephan, et al.. (2016). Coronary CT angiography with a standardized low dose protocol – Image quality and radiation exposure. Journal of cardiovascular computed tomography. 10(2). e7–e8. 1 indexed citations
5.
Opolski, Maksymilian P., Stephan Achenbach, Annika Schuhbäck, et al.. (2015). Coronary Computed Tomographic Prediction Rule for Time-Efficient Guidewire Crossing Through Chronic Total Occlusion. JACC: Cardiovascular Interventions. 8(2). 257–267. 108 indexed citations
6.
Schuhbäck, Annika & Stephan Achenbach. (2014). Cardiovascular Computed Tomography: Highlights of latest research presented at the 2014 Congress of the European Society of Cardiology. Journal of cardiovascular computed tomography. 8(6). 468–472. 1 indexed citations
7.
Gauss, Soeren, et al.. (2014). Epicardial Fat and Coronary Artery Calcification in Patients on Long-Term Hemodialysis. Journal of Computer Assisted Tomography. 38(5). 768–772. 15 indexed citations
8.
Rolf, Andreas, Gerald S. Werner, Annika Schuhbäck, et al.. (2013). Preprocedural coronary CT angiography significantly improves success rates of PCI for chronic total occlusion. International journal of cardiac imaging. 29(8). 1819–1827. 62 indexed citations
9.
Roller, Fritz, Christoph Schneider, Annika Schuhbäck, Andreas Rolf, & Gabriele A. Krombach. (2013). Cardiac MRI: Diagnostic Gain of an Additional Axial SSFP Chest Sequence for the Detection of Potentially Significant Extracardiac Findings in the Cardiac MRI Examination Setting. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 186(1). 42–46. 2 indexed citations
10.
Schuhbäck, Annika, Mohamed Marwan, Ricardo C. Cury, & Stephan Achenbach. (2013). Current status of cardiac CT for the detection of myocardial ischemia. Herz. 38(4). 359–366. 1 indexed citations
11.
Achenbach, Stephan, Annika Schuhbäck, Dieter Ropers, et al.. (2012). Influence of heart rate and phase of the cardiac cycle on the occurrence of motion artifact in dual-source CT angiography of the coronary arteries. Journal of cardiovascular computed tomography. 6(2). 91–98. 50 indexed citations
12.
Marwan, Mohamed, Tobias Pflederer, Martin Seltmann, et al.. (2012). Very low-dose coronary artery calcium scanning with high-pitch spiral acquisition mode: Comparison between 120-kV and 100-kV tube voltage protocols. Journal of cardiovascular computed tomography. 7(1). 32–38. 77 indexed citations
14.
Gauss, Soeren, et al.. (2011). Assessment of coronary artery remodelling by dual-source CT: a head-to-head comparison with intravascular ultrasound. Heart. 97(12). 991–997. 68 indexed citations
15.
Marwan, Mohamed, Hany Awadalla, Tobias Pflederer, et al.. (2010). In vivo CT detection of lipid-rich coronary artery atherosclerotic plaques using quantitative histogram analysis: A head to head comparison with IVUS. Atherosclerosis. 215(1). 110–115. 91 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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