Zhengguo Tan

539 total citations
18 papers, 279 citations indexed

About

Zhengguo Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Zhengguo Tan has authored 18 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Zhengguo Tan's work include Advanced MRI Techniques and Applications (14 papers), MRI in cancer diagnosis (6 papers) and Ultrasound Imaging and Elastography (3 papers). Zhengguo Tan is often cited by papers focused on Advanced MRI Techniques and Applications (14 papers), MRI in cancer diagnosis (6 papers) and Ultrasound Imaging and Elastography (3 papers). Zhengguo Tan collaborates with scholars based in Germany, United States and Austria. Zhengguo Tan's co-authors include Jens Frahm, Xiaoqing Wang, Dirk Voit, Volkert Roeloffs, K. D. Merboldt, Arun Joseph, Takashi Watanabe, Martin Uecker, Sabine Hofer and Christina Unterberg‐Buchwald and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Zhengguo Tan

16 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengguo Tan Germany 9 220 44 40 35 34 18 279
Mathias Davids Germany 11 223 1.0× 42 1.0× 45 1.1× 30 0.9× 63 1.9× 25 301
Ali Çağlar Özen Germany 11 208 0.9× 56 1.3× 27 0.7× 12 0.3× 31 0.9× 55 336
Yansong Zhao United States 13 375 1.7× 41 0.9× 85 2.1× 11 0.3× 32 0.9× 24 505
R. E. Burgess United States 4 182 0.8× 70 1.6× 16 0.4× 16 0.5× 49 1.4× 5 298
Christopher T. Sica United States 16 378 1.7× 89 2.0× 38 0.9× 29 0.8× 135 4.0× 27 590
Timo Schirmer Germany 9 318 1.4× 38 0.9× 35 0.9× 19 0.5× 44 1.3× 15 528
Maria Gabriela Figueiró Longo United States 14 291 1.3× 72 1.6× 26 0.7× 14 0.4× 61 1.8× 34 466
Elisabeth Springer Austria 9 315 1.4× 58 1.3× 46 1.1× 9 0.3× 42 1.2× 15 440
Angela Jakary United States 9 168 0.8× 32 0.7× 24 0.6× 7 0.2× 31 0.9× 27 266
Volkert Roeloffs Germany 11 406 1.8× 60 1.4× 20 0.5× 35 1.0× 15 0.4× 16 454

Countries citing papers authored by Zhengguo Tan

Since Specialization
Citations

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

Fields of papers citing papers by Zhengguo Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengguo Tan

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

All Works

18 of 18 papers shown
1.
Wang, Xiaoqing, Hongli Fan, Zhengguo Tan, et al.. (2025). Rapid, high‐resolution and distortion‐free R2∗ mapping of fetal brain using multi‐echo radial FLASH and model‐based reconstruction. Magnetic Resonance in Medicine. 94(5). 1913–1929.
2.
Solomon, Eddy, Patricia M. Johnson, Zhengguo Tan, et al.. (2025). FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI. Radiology Artificial Intelligence. 7(1). e240345–e240345. 2 indexed citations
3.
Tan, Zhengguo, Eddy Solomon, Zhengnan Huang, et al.. (2024). Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods. Magnetic Resonance in Medicine. 92(4). 1728–1742.
4.
Tan, Zhengguo, Patrick Liebig, Robin M. Heidemann, Frederik B. Laun, & Florian Knöll. (2024). Accelerated diffusion-weighted magnetic resonance imaging at 7 T: Joint reconstruction for shift-encoded navigator-based interleaved echo planar imaging (JETS-NAViEPI). Imaging Neuroscience. 2. 1 indexed citations
5.
Wang, Xiaoqing, Volkert Roeloffs, Zhengguo Tan, et al.. (2022). Free‐breathing myocardial T1 mapping using inversion‐recovery radial FLASH and motion‐resolved model‐based reconstruction. Magnetic Resonance in Medicine. 89(4). 1368–1384. 12 indexed citations
6.
Tan, Zhengguo, et al.. (2022). Free-Breathing Liver Fat,R₂* andB₀ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-Based Reconstruction. IEEE Transactions on Medical Imaging. 42(5). 1374–1387. 8 indexed citations
7.
Uecker, Martin, et al.. (2021). mrirecon/bart: version 0.7.00. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Uecker, Martin, et al.. (2020). mrirecon/bart: version 0.6.00. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Watanabe, Takashi, Xiaoqing Wang, Zhengguo Tan, & Jens Frahm. (2019). Magnetic resonance imaging of brain cell water. Scientific Reports. 9(1). 5084–5084. 21 indexed citations
10.
Watanabe, Takashi, et al.. (2019). Magnetic resonance imaging of noradrenergic neurons. Brain Structure and Function. 224(4). 1609–1625. 43 indexed citations
11.
Tan, Zhengguo, et al.. (2019). Dynamic water/fat separation and inhomogeneity mapping—joint estimation using undersampled triple‐echo multi‐spoke radial FLASH. Magnetic Resonance in Medicine. 82(3). 1000–1011. 10 indexed citations
12.
Hofer, Sabine, Ali Seif Amir Hosseini, Dirk Voit, et al.. (2019). Diffusion‐weighted MRI of the prostate without susceptibility artifacts: Undersampled multi‐shot turbo‐STEAM with rotated radial trajectories. NMR in Biomedicine. 32(5). e4074–e4074. 5 indexed citations
13.
Tan, Zhengguo, et al.. (2019). Real‐time multi‐directional flow MRI using model‐based reconstructions of undersampled radial FLASH – A feasibility study. NMR in Biomedicine. 32(12). e4184–e4184. 7 indexed citations
14.
Maier, Ilko, Sabine Hofer, Arun Joseph, et al.. (2018). Carotid artery flow as determined by real-time phase-contrast flow MRI and neurovascular ultrasound: A comparative study of healthy subjects. European Journal of Radiology. 106. 38–45. 11 indexed citations
15.
Wang, Xiaoqing, Volkert Roeloffs, Zhengguo Tan, et al.. (2017). Model‐based T1 mapping with sparsity constraints using single‐shot inversion‐recovery radial FLASH. Magnetic Resonance in Medicine. 79(2). 730–740. 61 indexed citations
16.
Tan, Zhengguo, Thorsten Hohage, Arun Joseph, et al.. (2017). An eigenvalue approach for the automatic scaling of unknowns in model‐based reconstructions: Application to real‐time phase‐contrast flow MRI. NMR in Biomedicine. 30(12). 14 indexed citations
17.
Tan, Zhengguo, Volkert Roeloffs, Dirk Voit, et al.. (2016). Model‐based reconstruction for real‐time phase‐contrast flow MRI: Improved spatiotemporal accuracy. Magnetic Resonance in Medicine. 77(3). 1082–1093. 36 indexed citations
18.
Tan, Zhengguo, Dirk Voit, Arun Joseph, et al.. (2015). Advances in real-time phase-contrast flow MRI using asymmetric radial gradient echoes. Magnetic Resonance in Medicine. 75(5). 1901–1908. 45 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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2026