Daniel Giese

3.1k total citations · 1 hit paper
89 papers, 2.3k citations indexed

About

Daniel Giese is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Giese has authored 89 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Cardiology and Cardiovascular Medicine and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Giese's work include Advanced MRI Techniques and Applications (50 papers), Cardiovascular Function and Risk Factors (29 papers) and Cardiac Imaging and Diagnostics (27 papers). Daniel Giese is often cited by papers focused on Advanced MRI Techniques and Applications (50 papers), Cardiovascular Function and Risk Factors (29 papers) and Cardiac Imaging and Diagnostics (27 papers). Daniel Giese collaborates with scholars based in Germany, United Kingdom and United States. Daniel Giese's co-authors include Sebastian Kozerke, David Maintz, Bettina Baeßler, Tobias Schaeffter, Seung‐Hun Chon, Daniel Pinto dos Santos, Wieland Staab, Sebastian Brodehl, Robert Kleinert and Michael Markl and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Daniel Giese

79 papers receiving 2.2k 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.

4D flow cardiovascular magnetic resonance consensus statement

2015 619 citations Daniel Giese, Sebastian Kozerke et al. Journal of Cardiovascular Magnetic Resonance profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Giese Germany	20	1.2k	945	509	400	282	89	2.3k
Sven Zuehlsdorff United States	23	1.6k 1.3×	535 0.6×	293 0.6×	65 0.2×	252 0.9×	75	2.0k
Ulrike Attenberger Germany	32	2.5k 2.0×	387 0.4×	881 1.7×	64 0.2×	405 1.4×	264	4.0k
Peter Mildenberger Germany	25	941 0.8×	116 0.1×	866 1.7×	173 0.4×	339 1.2×	129	2.5k
Daniel Kim United States	33	3.0k 2.4×	703 0.7×	543 1.1×	43 0.1×	395 1.4×	134	4.6k
Srini Tridandapani United States	17	699 0.6×	158 0.2×	204 0.4×	139 0.3×	60 0.2×	90	1.3k
Norbert G. Campeau United States	25	1.2k 1.0×	78 0.1×	408 0.8×	134 0.3×	456 1.6×	92	3.3k
Robert Manka Switzerland	35	2.6k 2.1×	1.9k 2.1×	340 0.7×	43 0.1×	289 1.0×	204	4.0k
Daiju Ueda Japan	26	838 0.7×	72 0.1×	286 0.6×	620 1.6×	95 0.3×	123	2.3k
Akihiro Haga Japan	15	558 0.4×	223 0.2×	153 0.3×	73 0.2×	62 0.2×	105	1.1k
Yun‐Hyeon Kim South Korea	18	627 0.5×	299 0.3×	595 1.2×	36 0.1×	178 0.6×	90	1.9k

Countries citing papers authored by Daniel Giese

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Giese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Giese

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

Trauzeddel, Ralf Felix, Edyta Błaszczyk, Ning Jin, et al.. (2025). Assessing reliability and comparability of 4D flow CMR whole heart measurements using retrospective valve tracking: A single-vendor study in the Berlin research network. Magnetic Resonance Imaging. 119. 110368–110368.

Mayr, S, Stephen Zicha, Daniel Giese, et al.. (2025). Cardiac Magnetic Resonance Imaging at Lower Field Strength. Investigative Radiology. 61(4). 251–260.

Riva, Alessandra, Francesco Sturla, Massimo Chessa, et al.. (2025). Intracavitary blood flow dynamics in the systemic right ventricle after atrial switch operation: a shift from transverse to longitudinal systolic pattern. The International Journal of Cardiovascular Imaging. 41(5). 943–954.

Giese, Daniel, et al.. (2025). Have Degree, Will Travel? Geography and Orthopaedic Surgery Residency Match. Journal of surgical education. 82(2). 103352–103352.

Kunze, Karl, Daniel Giese, Sharon Giles, et al.. (2024). T1 and Extracellular Volume Measurements. Normal Values at 0.55T and Validation in Comparison with 1.5T. Journal of Cardiovascular Magnetic Resonance. 26. 101026–101026.

Crawley, Richard, Karl Kunze, Daniel Giese, et al.. (2024). Cine Imaging at Low-field Using a 0.55T Scanner. Validation Against 1.5T Scanning for the Determination of Left Ventricular Myocardial Volumes, Mass and Ejection Fraction. Journal of Cardiovascular Magnetic Resonance. 26. 101013–101013. 1 indexed citations

Riva, Alessandra, Simone Saitta, Francesco Sturla, et al.. (2024). Left ventricle diastolic vortex ring characterization in ischemic cardiomyopathy: insight into atrio-ventricular interplay. Medical & Biological Engineering & Computing. 62(12). 3671–3685. 2 indexed citations

Segeroth, Martin, David Winkel, Jan Vosshenrich, et al.. (2024). Cardiac Cine MRI Using a Commercially Available 0.55-T Scanner. Radiology Cardiothoracic Imaging. 6(4). e230331–e230331. 3 indexed citations

Messaoudi, Saloua El, Marleen van Wely, Jesse Habets, et al.. (2024). Assessment of paravalvular regurgitation after transcatheter aortic valve replacement using 2D multi-velocity encoding and 4D flow cardiac magnetic resonance. European Heart Journal - Cardiovascular Imaging. 25(7). 929–936. 7 indexed citations

10.

Speier, Peter, et al.. (2024). Background phase induced steady‐state effects in velocity quantification using phase‐contrast MRI. Magnetic Resonance in Medicine. 93(4). 1690–1699. 1 indexed citations

11.

Righini, Paolo, Francesco Secchi, Daniela Mazzaccaro, et al.. (2023). Four-Dimensional Flow MRI for the Evaluation of Aortic Endovascular Graft: A Pilot Study. Diagnostics. 13(12). 2113–2113. 3 indexed citations

12.

Giese, Daniel, Ning Jin, Kelvin Chow, et al.. (2023). Aortic Hemodynamics with Accelerated Dual-Venc 4D Flow MRI in Type B Aortic Dissection. Applied Sciences. 13(10). 6202–6202. 3 indexed citations

13.

Giese, Daniel, Michaela Schmidt, Matthias May, et al.. (2023). Highly accelerated, Dixon-based non-contrast MR angiography versus high-pitch CT angiography. La radiologia medica. 129(2). 268–279. 6 indexed citations

14.

Tasca, Giordano, Francesco Sturla, Daniel Giese, et al.. (2022). In vitro four-dimensional flow magnetic resonance analysis of the effect of pericardial valve design on aortic flow. Journal of Medical Engineering & Technology. 46(3). 209–219. 1 indexed citations

15.

Riva, Alessandra, Francesco Sturla, Silvia Pica, et al.. (2022). Comparison of Four‐Dimensional Magnetic Resonance Imaging Analysis of Left Ventricular Fluid Dynamics and Energetics in Ischemic and Restrictive Cardiomyopathies. Journal of Magnetic Resonance Imaging. 56(4). 1157–1170. 17 indexed citations

16.

Giese, Daniel, Ning Jin, Kelvin Chow, et al.. (2022). Hemodynamic Evaluation of Type B Aortic Dissection Using Compressed Sensing Accelerated 4D Flow MRI. Journal of Magnetic Resonance Imaging. 57(6). 1752–1763. 10 indexed citations

17.

Riva, Alessandra, Francesco Sturla, Silvia Pica, et al.. (2021). 4D flow evaluation of blood non-Newtonian behavior in left ventricle flow analysis. Journal of Biomechanics. 119. 110308–110308. 5 indexed citations

18.

Kroeger, Jan Robert, Kilian Weiss, Alexander C. Bunck, et al.. (2021). Velocity quantification in 44 healthy volunteers using accelerated multi-VENC 4D flow CMR. European Journal of Radiology. 137. 109570–109570. 13 indexed citations

19.

Bennani‐Baïti, Barbara, B. Krug, Daniel Giese, et al.. (2019). Evaluation of 3.0-T MRI Brain Signal after Exposure to Gadoterate Meglumine in Women with High Breast Cancer Risk and Screening Breast MRI. Radiology. 293(3). 523–530. 19 indexed citations

20.

Giese, Daniel, Maximilian Haeberlin, Christoph Barmet, et al.. (2011). Analysis and correction of background velocity offsets in phase‐contrast flow measurements using magnetic field monitoring. Magnetic Resonance in Medicine. 67(5). 1294–1302. 48 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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