Chushuang Chen

687 total citations
34 papers, 332 citations indexed

About

Chushuang Chen is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chushuang Chen has authored 34 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 15 papers in Neurology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chushuang Chen's work include Acute Ischemic Stroke Management (32 papers), Cerebrovascular and Carotid Artery Diseases (14 papers) and Traumatic Brain Injury and Neurovascular Disturbances (13 papers). Chushuang Chen is often cited by papers focused on Acute Ischemic Stroke Management (32 papers), Cerebrovascular and Carotid Artery Diseases (14 papers) and Traumatic Brain Injury and Neurovascular Disturbances (13 papers). Chushuang Chen collaborates with scholars based in Australia, China and Canada. Chushuang Chen's co-authors include Andrew Bivard, Mark Parsons, Longting Lin, Christopher Levi, Neil J. Spratt, Jianhong Yang, Kenneth Butcher, Xin Cheng, Timothy Kleinig and Philip Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Chushuang Chen

30 papers receiving 329 citations

Peers

Chushuang Chen

EPIDE

NEURO

PRM

REHAB

Heitor Alves Brazil

Martin Bretzner France

Marianne A. A. van Walderveen Netherlands

Leticia C.S. Souza United States

Andrea Saletti Italy

Louise Allport Australia

Julia Hopyan Canada

Gabriella Kuraitis United States

Hayley M Wheeler United States

Kanta Tanaka Japan

Heitor Alves Brazil

Chushuang Chen

329 ×1.2

EPIDE

159 ×1.1

NEURO

182 ×1.4

PRM

120 ×1.3

47 ×0.7

REHAB

Citations per year, relative to Chushuang Chen Chushuang Chen (= 1×) peers Heitor Alves

Countries citing papers authored by Chushuang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Chushuang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chushuang Chen

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

Hong, Lan, Longting Lin, Chushuang Chen, et al.. (2025). Persistent penumbral profiles indicate a potentially good outcome in acute stroke patients without major reperfusion. International Journal of Stroke. 20(6). 687–695. 1 indexed citations

Cagi, Lavenia, Nicholas Chia, Jackson Harvey, et al.. (2025). Head Positioning for Stroke Blood Flow Augmentation Assisting Reperfusion Therapies Study. Cerebrovascular Diseases. 1–7.

Valente, Michael, Mark Parsons, Bernard Yan, et al.. (2025). Validation of CT perfusion-based vascular territory mapping: correlation to visual pial grading and outcome measures. BMJ Neurology Open. 7(1). e000939–e000939. 1 indexed citations

Edwards, Leon, Cecilia Cappelen‐Smith, Dennis Cordato, et al.. (2025). A deep learning approach versus expert clinician panel in the classification of posterior circulation infarction. NeuroImage Clinical. 45. 103732–103732. 1 indexed citations

Lin, Longting, Yueming Wang, Chushuang Chen, et al.. (2024). Exploring ischemic core growth rate and endovascular therapy benefit in large core patients. Journal of Cerebral Blood Flow & Metabolism. 44(12). 1593–1604. 2 indexed citations

Sui, Yi, Wenhuo Chen, Chushuang Chen, et al.. (2024). CTP-Defined Large Core Is a Better Predictor of Poor Outcome for Endovascular Treatment Than ASPECTS-Defined Large Core. Stroke. 55(5). 1227–1234. 4 indexed citations

Chen, Chushuang, et al.. (2024). Deep Learning‐Based Prediction of Final Infarct Core from CT Perfusion Data: A Comparison to the Clinical Standard. SHILAP Revista de lepidopterología. 4(6). e001375–e001375.

García-Esperón, Carlos, Andrew Bivard, Hannah Johns, et al.. (2022). Association of Endovascular Thrombectomy With Functional Outcome in Patients With Acute Stroke With a Large Ischemic Core. Neurology. 99(13). e1345–e1355. 12 indexed citations

Yang, Jianhong, Xiang Gao, Qing Han, et al.. (2022). Poor collateral flow with severe hypoperfusion explains worse outcome in acute stroke patients with atrial fibrillation. International Journal of Stroke. 18(6). 689–696. 7 indexed citations

10.

Wang, Peng, Wenhuo Chen, Chushuang Chen, et al.. (2022). Association of Perfusion Lesion Variables With Functional Outcome in Patients With Mild Stroke and Large Vessel Occlusion Managed Medically. Neurology. 100(6). e627–e638. 7 indexed citations

11.

Bivard, Andrew, Leonid Churilov, Henry Ma, et al.. (2021). Does variability in automated perfusion software outputs for acute ischemic stroke matter? Reanalysis of EXTEND perfusion imaging. CNS Neuroscience & Therapeutics. 28(1). 139–144. 7 indexed citations

12.

Bivard, Andrew, Christopher Levi, Longting Lin, et al.. (2021). Assessing the Relative Value of CT Perfusion Compared to Non-contrast CT and CT Angiography in Prognosticating Reperfusion-Eligible Acute Ischemic Stroke Patients. Frontiers in Neurology. 12. 736768–736768. 1 indexed citations

13.

Chen, Chushuang, Mark Parsons, Christopher Levi, et al.. (2021). What Is the “Optimal” Target Mismatch Criteria for Acute Ischemic Stroke?. Frontiers in Neurology. 11. 590766–590766. 4 indexed citations

14.

Lin, Longting, Jianhong Yang, Chushuang Chen, et al.. (2020). Association of Collateral Status and Ischemic Core Growth in Patients With Acute Ischemic Stroke. Neurology. 96(2). e161–e170. 61 indexed citations

15.

Gao, Lan, Marj Moodie, Mark Parsons, et al.. (2020). Reduced Impact of Endovascular Thrombectomy on Disability in Real-World Practice, Relative to Randomized Controlled Trial Evidence in Australia. Frontiers in Neurology. 11. 593238–593238. 5 indexed citations

16.

Bivard, Andrew, Timothy Kleinig, Leonid Churilov, et al.. (2020). Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke. Annals of Neurology. 88(3). 466–476. 27 indexed citations

17.

Bivard, Andrew, Xuya Huang, Christopher Levi, et al.. (2019). Comparing mismatch strategies for patients being considered for ischemic stroke tenecteplase trials. International Journal of Stroke. 15(5). 507–515. 4 indexed citations

18.

Chen, Chushuang, Mark Parsons, Christopher Levi, et al.. (2019). Exploring the relationship between ischemic core volume and clinical outcomes after thrombectomy or thrombolysis. Neurology. 93(3). e283–e292. 15 indexed citations

19.

Chen, Chushuang, Carlos García-Esperón, Mark Parsons, et al.. (2019). Dynamic CT but Not Optimized Multiphase CT Angiography Accurately Identifies CT Perfusion Target Mismatch Ischemic Stroke Patients. Frontiers in Neurology. 10. 1130–1130. 6 indexed citations

20.

Shao, Ming, et al.. (2014). Association of Catechol-O-Methyltransferase and monoamine oxidase B gene polymorphisms with motor complications in parkinson's disease in a Chinese population. Parkinsonism & Related Disorders. 20(10). 1041–1045. 27 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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