Zhao Shi

896 total citations
27 papers, 334 citations indexed

About

Zhao Shi is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Zhao Shi has authored 27 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Neurology and 4 papers in Molecular Biology. Recurrent topics in Zhao Shi's work include Cerebrovascular and Carotid Artery Diseases (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers) and Intracranial Aneurysms: Treatment and Complications (7 papers). Zhao Shi is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers) and Intracranial Aneurysms: Treatment and Complications (7 papers). Zhao Shi collaborates with scholars based in China, United States and Hong Kong. Zhao Shi's co-authors include Long Jiang Zhang, Guangming Lu, Xiuli Li, Hong Mao, Zhongjing Wang, Hongxiang Wang, Ling Zhou, Chengwei Pan, Qianqian Ni and Li Zheng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Zhao Shi

20 papers receiving 326 citations

Peers

Zhao Shi

PRM

NEURO

EPIDE

GENET

Bartłomiej Kulesza Poland

Tyler D. Alexander United States

Sumit Das Canada

Ken Ohyama Japan

Michele Longhi Italy

Ilari Rautalin Finland

Geun Sung Song South Korea

Salvatore Cicero Italy

Radboud W. Koot Netherlands

Bartłomiej Kulesza Poland

Zhao Shi

54 ×0.3

PRM

112 ×0.9

NEURO

64 ×1.1

EPIDE

48 ×0.9

GENET

65 ×1.4

Citations per year, relative to Zhao Shi Zhao Shi (= 1×) peers Bartłomiej Kulesza

Countries citing papers authored by Zhao Shi

Since Specialization

Citations

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

Fields of papers citing papers by Zhao Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Shi

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

Liu, Yan, et al.. (2025). Predicting Forest Carbon Sequestration of Ecological Buffer Zone in Urban Agglomeration: Integrating Vertical Heterogeneity and Age Class Dynamics to Unveil Future Trajectories. Forests. 16(11). 1648–1648.

Shi, Zhao, Jian Zhong, Fandong Zhang, et al.. (2025). A large language model for clinical outcome adjudication from telephone follow-up interviews: a secondary analysis of a multicenter randomized clinical trial. Nature Communications. 17(1). 211–211.

Song, Zhen, et al.. (2025). Evaluation of ecosystem service value based on land use change and analysis of driving forces in Ningxiang City, a representative county in the metropolitan hinterland in Hunan Province, China. Frontiers in Environmental Science. 13.

He, Haitao, et al.. (2025). Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit. Neuroradiology. 67(4). 855–864. 2 indexed citations

Shi, Zhao, et al.. (2025). AI-based approach to dissect the variability of mouse stem cell-derived embryo models. Nature Communications. 16(1). 1772–1772. 3 indexed citations

Pan, Ruijun, Yiqing Shen, Xue Wang, et al.. (2025). Development and validation of a postoperative prognostic model for hormone receptor positive early stage breast cancer recurrence. Scientific Reports. 15(1). 9905–9905.

Shi, Zhao, Yuying Sun, Huimin Jiang, et al.. (2024). The impact of industrialization on the distribution of heavy metals in surrounding soil: Evidence from the Chang-Zhu-Tan urban agglomeration, central China. Ecological Indicators. 166. 112368–112368. 8 indexed citations

Shi, Zhao, et al.. (2024). Nationwide survey of the status of artificial intelligence-based intracranial aneurysm detection systems. SHILAP Revista de lepidopterología. 5(1). 37–45. 2 indexed citations

Shi, Zhao, Bin Hu, Mengjie Lu, et al.. (2024). Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)—a protocol for a multicenter, double-blinded randomized controlled trial. Trials. 25(1). 358–358.

10.

Cheng, Xiaoqing, Jia Liu, Changsheng Zhou, et al.. (2022). ASPECTS-Based Attenuation Changes on CT Angiography as an Imaging Biomarker to Predict Hemorrhagic Transformation in Acute Ischemic Stroke. Cerebrovascular Diseases. 51(4). 532–541. 5 indexed citations

11.

Shi, Zhao, Li Mao, Xiuli Li, et al.. (2021). Machine Learning–Based Prediction of Small Intracranial Aneurysm Rupture Status Using CTA-Derived Hemodynamics: A Multicenter Study. American Journal of Neuroradiology. 42(4). 648–654. 36 indexed citations

12.

Liu, Jia, Mengjie Lu, Changsheng Zhou, et al.. (2021). Automated ASPECTS for multi-modality CT predict infarct extent and outcome in large-vessel occlusion stroke. European Journal of Radiology. 143. 109899–109899. 3 indexed citations

13.

Shi, Zhao, U. Joseph Schoepf, Rock H. Savage, et al.. (2020). Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives. American Journal of Neuroradiology. 41(3). 373–379. 68 indexed citations

14.

Feng, Yun, Yun Fei Wang, Li Zheng, et al.. (2020). Network-level functional connectivity alterations in chemotherapy treated breast cancer patients: a longitudinal resting state functional MRI study. Cancer Imaging. 20(1). 73–73. 22 indexed citations

15.

Chen, Guozhong, Mengjie Lu, Zhao Shi, et al.. (2020). Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study. European Radiology. 30(9). 5170–5182. 34 indexed citations

16.

Shi, Zhao, Ting Jia, Yang Tang, et al.. (2018). Reduced mRNA and Protein Expression Levels of Tet Methylcytosine Dioxygenase 3 in Endothelial Progenitor Cells of Patients of Type 2 Diabetes With Peripheral Artery Disease. Frontiers in Immunology. 9. 2859–2859. 8 indexed citations

17.

Xu, Zhangrong, Linong Ji, Lixin Guo, et al.. (2018). Direct medical costs for patients with type 2 diabetes in 16 tertiary hospitals in urban China: A multicenter prospective cohort study. Journal of Diabetes Investigation. 10(2). 539–551. 34 indexed citations

18.

Shen, Jianying, Yu Zhang, Zhao Shi, et al.. (2017). Purα Repaired Expanded Hexanucleotide GGGGCC Repeat Noncoding RNA-Caused Neuronal Toxicity in Neuro-2a Cells. Neurotoxicity Research. 33(4). 693–701. 5 indexed citations

19.

Shi, Zhao, et al.. (2016). Increased BMR in overweight and obese patients with type 2 diabetes may result from an increased fat-free mass. Journal of Huazhong University of Science and Technology [Medical Sciences]. 36(1). 59–63. 10 indexed citations

20.

Shi, Zhao, et al.. (2014). Association of height with peripheral arterial disease in type 2 diabetes. Journal of Endocrinological Investigation. 38(1). 57–63. 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.

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