Feina Shi

555 total citations
32 papers, 359 citations indexed

About

Feina Shi is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feina Shi has authored 32 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 18 papers in Neurology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feina Shi's work include Acute Ischemic Stroke Management (19 papers), Cerebrovascular and Carotid Artery Diseases (14 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Feina Shi is often cited by papers focused on Acute Ischemic Stroke Management (19 papers), Cerebrovascular and Carotid Artery Diseases (14 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Feina Shi collaborates with scholars based in China, United States and Australia. Feina Shi's co-authors include Qiang Zeng, Min Lou, Chenhan Ling, Xiaoxian Gong, Meixia Zhang, Zhicai Chen, Jianmin Zhang, Ruiting Zhang, Biao Jiang and Shenqiang Yan and has published in prestigious journals such as Stroke, Radiology and Medicine.

In The Last Decade

Feina Shi

31 papers receiving 359 citations

Peers

Feina Shi

EPIDE

NEURO

PRM

RNMI

GENET

Susanne Wildermuth Germany

Bindu Avutu United States

Frédéric Philippeau France

Micha Kablau Germany

Francesco D’Argento Italy

Ferghal McVerry United Kingdom

Carlos J. Ledezma United States

Marion Boulanger France

Kenichi Sakuta Japan

Susanne Wildermuth Germany

Feina Shi

253 ×1.1

EPIDE

188 ×1.4

NEURO

224 ×1.9

PRM

30 ×0.3

RNMI

52 ×0.6

GENET

Citations per year, relative to Feina Shi Feina Shi (= 1×) peers Susanne Wildermuth

Countries citing papers authored by Feina Shi

Since Specialization

Citations

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

Fields of papers citing papers by Feina Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feina Shi

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

Xu, Zheng, Yigang Chen, Yun Jiang, et al.. (2025). Direct oral anticoagulant and antiplatelet therapy for extracranial neurovascular stenting in patients with atrial fibrillation. BMC Neurology. 25(1). 218–218.

Zeng, Qiang, et al.. (2024). Multi-parameter MRI radiomic features may contribute to predict progression-free survival in patients with WHO grade II meningiomas. Frontiers in Oncology. 14. 1246730–1246730. 2 indexed citations

Shi, Feina, Qiang Zeng, Xiaoxian Gong, et al.. (2022). Quantitative Collateral Assessment on CTP in the Prediction of Stroke Etiology. American Journal of Neuroradiology. 43(7). 966–971. 3 indexed citations

Chen, Yi, Sheng Zhang, Shenqiang Yan, et al.. (2022). Filling Defect of Ipsilateral Transverse Sinus in Acute Large Artery Occlusion. Frontiers in Neurology. 13. 863460–863460. 1 indexed citations

Zeng, Qiang, et al.. (2022). Effectiveness of Postoperative Radiotherapy in Patients with Atypical Meningiomas After Gross Total Resection: Analysis of 260 Cases. World Neurosurgery. 162. e580–e586. 1 indexed citations

Zhang, Meixia, Zhicai Chen, Jinjin Xu, et al.. (2020). Antegrade Blood Flow on 4‐Dimensional Computed Tomography Angiography Predict Stroke Subtype in Patients With Acute Large Artery Occlusion. Journal of the American Heart Association. 9(19). e015759–e015759. 1 indexed citations

Xu, Chao, Xing Jin, Yigang Chen, et al.. (2020). Association of Blood Pressure at Successful Recanalization and Parenchymal Hemorrhage After Mechanical Thrombectomy With General Anesthesia. Frontiers in Neurology. 11. 582639–582639. 5 indexed citations

Jin, Xing, et al.. (2020). Jet-Like Appearance in Angiography as a Predictive Image Marker for the Occlusion of Intracranial Atherosclerotic Stenosis. Frontiers in Neurology. 11. 575567–575567. 14 indexed citations

Shi, Feina, Xiaoxian Gong, Chang Liu, et al.. (2019). Acute Stroke: Prognostic Value of Quantitative Collateral Assessment at Perfusion CT. Radiology. 290(3). 760–768. 24 indexed citations

10.

Gong, Xiaoxian, Zhicai Chen, Feina Shi, et al.. (2019). Conveniently-Grasped Field Assessment Stroke Triage (CG-FAST): A Modified Scale to Detect Large Vessel Occlusion Stroke. Frontiers in Neurology. 10. 390–390. 17 indexed citations

11.

Zeng, Qiang, et al.. (2019). Effectiveness of Postoperative Radiotherapy on Atypical Meningioma Patients: A Population-Based Study. Frontiers in Oncology. 9. 34–34. 19 indexed citations

12.

Wu, Xiaohua, et al.. (2018). Number of Fractured Calvarial Bones Predicts Outcome in Traumatic Brain Injury Patients After Early Craniotomy. World Neurosurgery. 115. e688–e694. 2 indexed citations

13.

Shi, Feina, et al.. (2018). Prediction of the Multisegment Clot Sign on Dynamic CT Angiography of Cardioembolic Stroke. American Journal of Neuroradiology. 39(4). 663–668. 10 indexed citations

14.

Shi, Feina, et al.. (2018). Thrombus Permeability on Dynamic CTA Predicts Good Outcome after Reperfusion Therapy. American Journal of Neuroradiology. 39(10). 1854–1859. 18 indexed citations

15.

Shi, Feina, Zhicai Chen, Xiaoxian Gong, et al.. (2018). Presence of multi-segment clot sign on dynamic CT angiography: a predictive imaging marker of recanalisation and good outcome in acute ischaemic stroke patients. European Radiology. 28(8). 3413–3421. 2 indexed citations

16.

Chen, Zhicai, Ruiting Zhang, Xiaoxian Gong, et al.. (2018). Novel Prehospital Prediction Model of Large Vessel Occlusion Using Artificial Neural Network. Frontiers in Aging Neuroscience. 10. 181–181. 26 indexed citations

17.

Liu, Chang, Feina Shi, Zhicai Chen, et al.. (2018). Severe Blood–Brain Barrier Disruption in Cardioembolic Stroke. Frontiers in Neurology. 9. 55–55. 13 indexed citations

18.

Zeng, Qiang, et al.. (2017). 3D Pseudocontinuous Arterial Spin-Labeling MR Imaging in the Preoperative Evaluation of Gliomas. American Journal of Neuroradiology. 38(10). 1876–1883. 38 indexed citations

19.

Zeng, Qiang, et al.. (2017). Apparent diffusion coefficient maps obtained from high b value diffusion-weighted imaging in the preoperative evaluation of gliomas at 3T: comparison with standard b value diffusion-weighted imaging. European Radiology. 27(12). 5309–5315. 34 indexed citations

20.

Liu, Chang, Sheng Zhang, Shenqiang Yan, et al.. (2017). Reperfusion facilitates reversible disruption of the human blood–brain barrier following acute ischaemic stroke. European Radiology. 28(2). 642–649. 16 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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