Veit Sandfort

5.4k total citations · 2 hit papers
92 papers, 3.8k citations indexed

About

Veit Sandfort is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Veit Sandfort has authored 92 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Cardiology and Cardiovascular Medicine and 23 papers in Biomedical Engineering. Recurrent topics in Veit Sandfort's work include Cardiac Imaging and Diagnostics (35 papers), Advanced X-ray and CT Imaging (21 papers) and Radiation Dose and Imaging (17 papers). Veit Sandfort is often cited by papers focused on Cardiac Imaging and Diagnostics (35 papers), Advanced X-ray and CT Imaging (21 papers) and Radiation Dose and Imaging (17 papers). Veit Sandfort collaborates with scholars based in United States, Germany and United Kingdom. Veit Sandfort's co-authors include Ronald M. Summers, Perry J. Pickhardt, David A. Bluemke, Ke Yan, Amir Pourmorteza, Peter M. Graffy, Rolf Symons, Nils Cordes, Iris Eke and Marissa Mallek and has published in prestigious journals such as Nucleic Acids Research, Circulation and Journal of Clinical Investigation.

In The Last Decade

Veit Sandfort

90 papers receiving 3.7k 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.

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

2019 439 citations Veit Sandfort et al. profile →
Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects

2023 177 citations Domenico Mastrodicasa, Veit Sandfort et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Veit Sandfort United States	33	1.8k	1.2k	587	571	385	92	3.8k
Héloïse Cardinal Canada	26	652 0.4×	586 0.5×	271 0.5×	733 1.3×	175 0.5×	109	2.9k
Frédérique Frouin France	25	2.6k 1.4×	809 0.7×	454 0.8×	345 0.6×	215 0.6×	140	3.5k
Sergios Gatidis Germany	32	1.9k 1.1×	527 0.5×	186 0.3×	258 0.5×	242 0.6×	168	3.4k
Dong Hyun Yang South Korea	33	1.7k 0.9×	878 0.8×	1.5k 2.5×	1.3k 2.3×	144 0.4×	225	3.9k
Mattias Ohlsson Sweden	31	632 0.3×	337 0.3×	664 1.1×	302 0.5×	528 1.4×	152	2.9k
Andrzej Nowicki Poland	28	1.1k 0.6×	948 0.8×	134 0.2×	200 0.4×	187 0.5×	267	3.0k
Sandy Liu United States	19	1.2k 0.6×	324 0.3×	775 1.3×	653 1.1×	192 0.5×	73	2.3k
I. Zuna Germany	45	3.0k 1.7×	592 0.5×	122 0.2×	797 1.4×	532 1.4×	149	6.0k
Eric K. Oermann United States	32	1.1k 0.6×	580 0.5×	164 0.3×	711 1.2×	449 1.2×	122	4.6k
Gary J. Whitman United States	40	2.4k 1.3×	648 0.6×	134 0.2×	888 1.6×	749 1.9×	266	6.2k

Countries citing papers authored by Veit Sandfort

Since Specialization

Citations

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

Fields of papers citing papers by Veit Sandfort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veit Sandfort

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bäumler, Kathrin, Domenico Mastrodicasa, Veit Sandfort, et al.. (2024). Advanced visualization of aortic dissection anatomy and hemodynamics. Computers & Graphics. 124. 104060–104060.

Zou, Fengwei, Athanasios Thomaides, Xiaoyang Ma, et al.. (2023). Using machine learning to enhance prediction of atrial fibrillation recurrence after catheter ablation. Journal of Arrhythmia. 39(6). 868–875. 6 indexed citations

Zhao, Yanglu, Shaista Malik, Michael H. Criqui, et al.. (2022). Coronary calcium density in relation to coronary heart disease and cardiovascular disease in adults with diabetes or metabolic syndrome: the Multi-ethnic Study of Atherosclerosis (MESA). BMC Cardiovascular Disorders. 22(1). 536–536. 7 indexed citations

Lateef, Sundus S., Amit K. Dey, Nidhi Patel, et al.. (2022). Inflammation, coronary plaque progression, and statin use: A secondary analysis of the Risk Stratification with Image Guidance of HMG CoA Reductase Inhibitor Therapy (RIGHT) study. Clinical Cardiology. 45(6). 622–628. 7 indexed citations

Eke, Iris, Molykutty J. Aryankalayil, Veit Sandfort, et al.. (2021). Long-term expression changes of immune-related genes in prostate cancer after radiotherapy. Cancer Immunology Immunotherapy. 71(4). 839–850. 10 indexed citations

Türkbey, Evrim, Mark A. Ahlman, Christopher T. Sibley, et al.. (2020). Coronary CT Angiography and Carotid MRI Improve Phenotyping of Disease Extent Compared with ACC/AHA Risk Score Alone. Radiology Cardiothoracic Imaging. 2(1). e190068–e190068. 1 indexed citations

Eke, Iris, Dali Zong, Molykutty J. Aryankalayil, et al.. (2019). 53BP1/RIF1 signaling promotes cell survival after multifractionated radiotherapy. Nucleic Acids Research. 48(3). 1314–1326. 17 indexed citations

Sandfort, Veit, et al.. (2019). An Optimized Test Bolus Contrast Injection Protocol for Consistent Coronary Artery Luminal Enhancement for Coronary CT Angiography. Academic Radiology. 27(3). 371–380. 9 indexed citations

Dey, Amit K., Youssef Elnabawi, Qian Sun, et al.. (2019). HIGH-SENSITIVITY TROPONIN IS ASSOCIATED WITH HIGH-RISK CORONARY PLAQUE IN PSORIASIS. Journal of the American College of Cardiology. 73(9). 9–9. 1 indexed citations

10.

Banerjee, Shubhasree, Mohammadhadi Bagheri, Veit Sandfort, et al.. (2018). Vascular calcification in patients with large-vessel vasculitis compared to patients with hyperlipidemia. Seminars in Arthritis and Rheumatism. 48(6). 1068–1073. 24 indexed citations

11.

Symons, Rolf, Yves De Bruecker, John Roosen, et al.. (2018). Quarter-millimeter spectral coronary stent imaging with photon-counting CT: Initial experience. Journal of cardiovascular computed tomography. 12(6). 509–515. 61 indexed citations

12.

Eke, Iris, Adeola Y. Makinde, Molykutty J. Aryankalayil, et al.. (2017). Exploiting Radiation-Induced Signaling to Increase the Susceptibility of Resistant Cancer Cells to Targeted Drugs: AKT and mTOR Inhibitors as an Example. Molecular Cancer Therapeutics. 17(2). 355–367. 26 indexed citations

13.

Wong, Nathan D., Yanglu Zhao, Ruben G.W. Quek, et al.. (2017). Residual atherosclerotic cardiovascular disease risk in statin-treated adults: The Multi-Ethnic Study of Atherosclerosis. Journal of clinical lipidology. 11(5). 1223–1233. 84 indexed citations

14.

McEvoy, John W., Seth S. Martin, Zeina Dardari, et al.. (2016). Coronary Artery Calcium to Guide a Personalized Risk-Based Approach to Initiation and Intensification of Antihypertensive Therapy. Circulation. 135(2). 153–165. 68 indexed citations

15.

Sandfort, Veit, Mark A. Ahlman, Elizabeth C. Jones, et al.. (2016). High pitch third generation dual-source CT: Coronary and cardiac visualization on routine chest CT. Journal of cardiovascular computed tomography. 10(4). 282–288. 15 indexed citations

16.

DeFilippis, Andrew P., Rebekah Young, John W. McEvoy, et al.. (2016). Risk score overestimation: the impact of individual cardiovascular risk factors and preventive therapies on the performance of the American Heart Association-American College of Cardiology-Atherosclerotic Cardiovascular Disease risk score in a modern multi-ethnic cohort. European Heart Journal. 38(8). ehw301–ehw301. 122 indexed citations

17.

Pourmorteza, Amir, Rolf Symons, Veit Sandfort, et al.. (2016). Abdominal Imaging with Contrast-enhanced Photon-counting CT: First Human Experience. Radiology. 279(1). 239–245. 163 indexed citations

18.

Ahlman, Mark A., Fabio Raman, Jianing Pang, et al.. (2016). Part 2 – Coronary angiography with gadofosveset trisodium: a prospective intra-subject comparison for dose optimization for 100 % efficiency imaging. BMC Cardiovascular Disorders. 16(1). 58–58. 1 indexed citations

19.

Sandfort, Veit & David A. Bluemke. (2016). CT calcium scoring. History, current status and outlook. Diagnostic and Interventional Imaging. 98(1). 3–10. 41 indexed citations

20.

Zhao, Yanglu, Shaista Malik, Michael H. Criqui, et al.. (2015). CORONARY CALCIUM DENSITY AND INCIDENT CORONARY HEART DISEASE AMONG THOSE WITH DIABETES OR THE METABOLIC SYNDROME: THE MULTIETHNIC STUDY OF ATHEROSCLEROSIS (MESA). Journal of the American College of Cardiology. 65(10). A1154–A1154. 1 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.

Explore authors with similar magnitude of impact