Yulu Shi

1.6k total citations · 1 hit paper
25 papers, 1.1k citations indexed

About

Yulu Shi is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yulu Shi has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yulu Shi's work include Acute Ischemic Stroke Management (12 papers), Cerebrovascular and Carotid Artery Diseases (10 papers) and Advanced MRI Techniques and Applications (6 papers). Yulu Shi is often cited by papers focused on Acute Ischemic Stroke Management (12 papers), Cerebrovascular and Carotid Artery Diseases (10 papers) and Advanced MRI Techniques and Applications (6 papers). Yulu Shi collaborates with scholars based in China, United Kingdom and Malaysia. Yulu Shi's co-authors include Joanna M. Wardlaw, Michael J. Thrippleton, Ian Marshall, Anton JM de Craen, Mirjam I. Geerlings, Iona Hamilton, Gordon W. Blair, Fergus Doubal, Mark A. van Buchem and Stephen Makin and has published in prestigious journals such as NeuroImage, Neurology and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Yulu Shi

20 papers receiving 1.1k citations

Hit Papers

Update on cerebral small vessel disease: a dynamic whole-... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulu Shi China 12 411 389 328 270 234 25 1.1k
Meng‐Cheong Wong Singapore 18 420 1.0× 150 0.4× 255 0.8× 222 0.8× 150 0.6× 30 1.0k
Wenli Hu China 17 267 0.6× 147 0.4× 138 0.4× 213 0.8× 154 0.7× 72 828
Kuo‐Lun Huang Taiwan 18 234 0.6× 241 0.6× 175 0.5× 150 0.6× 142 0.6× 68 868
Francesco Arba Italy 15 342 0.8× 230 0.6× 476 1.5× 227 0.8× 56 0.2× 44 837
Yuxiang Gu China 26 1.2k 3.0× 403 1.0× 277 0.8× 225 0.8× 120 0.5× 109 1.9k
Dong Yang China 20 340 0.8× 278 0.7× 621 1.9× 90 0.3× 85 0.4× 55 1.2k
Gary Rajah United States 21 636 1.5× 372 1.0× 457 1.4× 202 0.7× 35 0.1× 95 1.3k
Andrea Kleindienst Germany 26 713 1.7× 215 0.6× 352 1.1× 121 0.4× 128 0.5× 54 1.7k
Keiji Kurita Japan 20 499 1.2× 165 0.4× 202 0.6× 152 0.6× 66 0.3× 42 1.1k
Takemori Yamawaki Japan 19 466 1.1× 184 0.5× 212 0.6× 154 0.6× 55 0.2× 75 1.2k

Countries citing papers authored by Yulu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yulu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yulu Shi. A scholar is included among the top collaborators of Yulu Shi 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 Yulu Shi. Yulu Shi 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.
Yang, Yingying, Mengyuan Zhou, Yulu Shi, et al.. (2025). Association of Left Ventricular Function With Cerebral Small Vessel Disease in a Community‐Based Population. CNS Neuroscience & Therapeutics. 31(2). e70226–e70226.
2.
Blair, Gordon W., Ian J. C. MacCormick, Sarah McGrory, et al.. (2025). Retinal vascular reactivity is associated with white matter hyperintensities and dysfunctional cerebrovascular reactivity in cerebral small vessel disease. Journal of Cerebral Blood Flow & Metabolism. 45(12). 2301–2315.
3.
Zhuo, Zhizheng, De‐Cai Tian, Yutong Bai, et al.. (2025). Periventricular gradient of normal-appearing white matter in normal aging and multiple neurological diseases. Journal of Advanced Research.
5.
Pei, Xun, Yulu Shi, Yingying Yang, et al.. (2024). Unveiling connections between venous disruption and cerebral small vessel disease using diffusion tensor image analysis along perivascular space (DTI-ALPS): A 7-T MRI study. International Journal of Stroke. 20(4). 497–506. 4 indexed citations
6.
Zhuo, Zhizheng, Chenghao Liu, Yunyun Duan, et al.. (2024). Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging. NeuroImage. 300. 120858–120858.
7.
Shi, Yulu, et al.. (2023). Aberrant LETM1 elevation dysregulates mitochondrial functions and energy metabolism and promotes lung metastasis in osteosarcoma. Genes & Diseases. 11(3). 100988–100988. 5 indexed citations
8.
Yang, Yingying, Xueli Cai, Mengyuan Zhou, et al.. (2023). Prevalence and Risk Factors of Cerebral Small Vessel Disease from a Population-Based Cohort in China. Neuroepidemiology. 57(6). 413–422. 7 indexed citations
9.
Wang, Xing, Yulu Shi, Ying Gao, et al.. (2023). Blood–Brain Barrier Breakdown is a Sensitive Biomarker of Cognitive and Language Impairment in Patients with White Matter Hyperintensities. Neurology and Therapy. 12(5). 1745–1758. 8 indexed citations
10.
Stewart, Catriona, Michael Stringer, Yulu Shi, Michael J. Thrippleton, & Joanna M. Wardlaw. (2021). Associations Between White Matter Hyperintensity Burden, Cerebral Blood Flow and Transit Time in Small Vessel Disease: An Updated Meta-Analysis. Frontiers in Neurology. 12. 647848–647848. 56 indexed citations
11.
Stringer, Michael, Gordon W. Blair, Yulu Shi, et al.. (2021). A Comparison of CVR Magnitude and Delay Assessed at 1.5 and 3T in Patients With Cerebral Small Vessel Disease. Frontiers in Physiology. 12. 644837–644837. 8 indexed citations
13.
Shi, Yulu, Michael J. Thrippleton, Gordon W. Blair, et al.. (2018). Small vessel disease is associated with altered cerebrovascular pulsatility but not resting cerebral blood flow. Journal of Cerebral Blood Flow & Metabolism. 40(1). 85–99. 92 indexed citations
14.
Shi, Yulu, Michael J. Thrippleton, Ian Marshall, & Joanna M. Wardlaw. (2017). Intracranial pulsatility in patients with cerebral small vessel disease: a systematic review. Clinical Science. 132(1). 157–171. 54 indexed citations
16.
Xie, Xiaofeng, Yulu Shi, & Junjian Zhang. (2017). Structural network connectivity impairment and depressive symptoms in cerebral small vessel disease. Journal of Affective Disorders. 220. 8–14. 29 indexed citations
17.
Thrippleton, Michael J., Yulu Shi, Gordon W. Blair, et al.. (2017). Cerebrovascular Reactivity MRI Protocol - Figures. 1 indexed citations
18.
Thrippleton, Michael J., Yulu Shi, Gordon W. Blair, et al.. (2017). Cerebrovascular reactivity measurement in cerebral small vessel disease: Rationale and reproducibility of a protocol for MRI acquisition and image processing. International Journal of Stroke. 13(2). 195–206. 45 indexed citations
19.
Shi, Yulu, Michael J. Thrippleton, Stephen Makin, et al.. (2016). Cerebral blood flow in small vessel disease: A systematic review and meta-analysis. Journal of Cerebral Blood Flow & Metabolism. 36(10). 1653–1667. 224 indexed citations
20.
Shi, Yulu & Joanna M. Wardlaw. (2016). Update on cerebral small vessel disease: a dynamic whole-brain disease. Stroke and Vascular Neurology. 1(3). 83–92. 318 indexed citations breakdown →

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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