Qiuting Wen

1.2k total citations
54 papers, 737 citations indexed

About

Qiuting Wen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Qiuting Wen has authored 54 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in Qiuting Wen's work include Advanced Neuroimaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (15 papers) and Cerebrospinal fluid and hydrocephalus (14 papers). Qiuting Wen is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (15 papers) and Cerebrospinal fluid and hydrocephalus (14 papers). Qiuting Wen collaborates with scholars based in United States, China and United Kingdom. Qiuting Wen's co-authors include Yu‐Chien Wu, He Chen, Li Xu, Ming Chen, Weiwei Yang, Andrew J. Saykin, Shannon L. Risacher, Janine Lupo, Susan M. Chang and Li Feng and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qiuting Wen

48 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiuting Wen United States 14 366 178 109 85 75 54 737
Greetje Vanhoutte Belgium 17 299 0.8× 187 1.1× 171 1.6× 176 2.1× 75 1.0× 27 984
Anders Tisell Sweden 18 392 1.1× 133 0.7× 159 1.5× 177 2.1× 53 0.7× 46 1.0k
Kyle R. Padgett United States 20 451 1.2× 101 0.6× 182 1.7× 58 0.7× 43 0.6× 63 1.0k
Panli Zuo China 18 433 1.2× 228 1.3× 176 1.6× 81 1.0× 54 0.7× 40 909
Mattéo Tonietto France 19 264 0.7× 229 1.3× 194 1.8× 213 2.5× 63 0.8× 40 975
Sung Jun Ahn South Korea 19 355 1.0× 106 0.6× 209 1.9× 283 3.3× 132 1.8× 95 1.2k
Fang Yu United States 14 449 1.2× 58 0.3× 113 1.0× 171 2.0× 44 0.6× 48 878
Uri Nevo Israel 18 441 1.2× 266 1.5× 164 1.5× 101 1.2× 22 0.3× 53 1.3k
Olaf Schijns Netherlands 16 203 0.6× 251 1.4× 146 1.3× 174 2.0× 26 0.3× 75 908
Eser Lay Ergün Türkiye 14 197 0.5× 98 0.6× 47 0.4× 76 0.9× 94 1.3× 60 686

Countries citing papers authored by Qiuting Wen

Since Specialization
Citations

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

Fields of papers citing papers by Qiuting Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiuting Wen

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

All Works

20 of 20 papers shown
1.
Xu, Tianyin, et al.. (2025). An fMRI approach to assess intracranial arterial-to-venous cardiac pulse delay in aging. Imaging Neuroscience. 3. 1 indexed citations
2.
Wen, Qiuting, Charles F. Babbs, Yi Zhao, et al.. (2025). Dynamic diffusion-weighted imaging of intracranial cardiac impulse propagation along arteries to arterioles in the aging brain. Journal of Cerebral Blood Flow & Metabolism. 45(8). 1519–1530. 4 indexed citations
3.
Zhang, Jinhuan, Beibei Sun, Huayu Wang, et al.. (2025). Intracranial atherosclerotic plaque features on vessel wall imaging predict first ever and recurrence of stroke: a meta-analysis. European Radiology. 35(8). 5017–5026. 2 indexed citations
4.
Xu, Tianyin, et al.. (2025). Effect of brief rest on hemodynamics and CSF oscillations across age. NeuroImage. 321. 121531–121531.
5.
Xu, Tianyin, et al.. (2024). Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging. Interface Focus. 14(6). 20240024–20240024. 5 indexed citations
6.
Wen, Qiuting, et al.. (2024). Using respiratory challenges to modulate CSF movement across different physiological pathways: An fMRI study. Imaging Neuroscience. 2. 5 indexed citations
7.
Ho, Chang Yueh, Nucharin Supakul, Qiuting Wen, et al.. (2024). Perfusion Showdown: Comparison of Multiple MRI Perfusion Techniques in the Grading of Pediatric Brain Tumors. American Journal of Neuroradiology. 46(7). 1464–1470.
8.
Zhang, Yin, Shuo Leng, Yuanyuan Ma, et al.. (2024). The relationship between inflammation, impaired glymphatic system, and neurodegenerative disorders: A vicious cycle. Neurobiology of Disease. 192. 106426–106426. 35 indexed citations
9.
Wu, Yu‐Chien, et al.. (2024). Coupled pulsatile vascular and paravascular fluid dynamics in the human brain. Fluids and Barriers of the CNS. 21(1). 71–71. 9 indexed citations
10.
Yu, Meichen, Shannon L. Risacher, Kwangsik Nho, et al.. (2024). Spatial transcriptomic patterns underlying amyloid-β and tau pathology are associated with cognitive dysfunction in Alzheimer’s disease. Cell Reports. 43(2). 113691–113691. 10 indexed citations
11.
Wu, Yu‐Chien, et al.. (2024). Exploring radial asymmetry in MR diffusion tensor imaging and its impact on the interpretation of glymphatic mechanisms. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
12.
Zhang, Hongyu, et al.. (2023). INHBA gene silencing inhibits proliferation, migration, and invasion of osteosarcoma cells by repressing TGF-β signaling pathway activation. Journal of Orthopaedic Surgery and Research. 18(1). 848–848. 7 indexed citations
13.
Wen, Qiuting, Yunjie Tong, Shannon L. Risacher, et al.. (2023). Paravascular fluid dynamics reveal arterial stiffness assessed using dynamic diffusion‐weighted imaging. NMR in Biomedicine. 37(2). e5048–e5048. 11 indexed citations
14.
Cheng, Hu, Sophia Vinci‐Booher, Bradley Caron, et al.. (2022). Denoising diffusion weighted imaging data using convolutional neural networks. PLoS ONE. 17(9). e0274396–e0274396. 10 indexed citations
15.
Vishnubhotla, Ramana V., Yi Zhao, Qiuting Wen, et al.. (2022). Brain structural connectome in neonates with prenatal opioid exposure. Frontiers in Neuroscience. 16. 952322–952322. 8 indexed citations
16.
17.
Fadnavis, Shreyas, Stefan Endres, Qiuting Wen, et al.. (2021). Bifurcated Topological Optimization for IVIM. Frontiers in Neuroscience. 15. 779025–779025. 4 indexed citations
18.
Wen, Qiuting, et al.. (2020). Rapid golden-angle diffusion-weighted propeller MRI for simultaneous assessment of ADC and IVIM. NeuroImage. 223. 117327–117327. 7 indexed citations
19.
Wen, Qiuting, Shannon L. Risacher, Junjie Li, et al.. (2020). Tau-related white-matter alterations along spatially selective pathways. NeuroImage. 226. 117560–117560. 33 indexed citations
20.
Wen, Qiuting, et al.. (2017). Parcellation of Human Amygdala Subfields Using Orientation Distribution Function and Spectral K-means Clustering. PubMed. 2016. 123–132. 2 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

Rankless by CCL
2026