Tzu-Ching Wu

955 total citations
24 papers, 620 citations indexed

About

Tzu-Ching Wu is a scholar working on Epidemiology, Rehabilitation and Internal Medicine. According to data from OpenAlex, Tzu-Ching Wu has authored 24 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 12 papers in Rehabilitation and 9 papers in Internal Medicine. Recurrent topics in Tzu-Ching Wu's work include Acute Ischemic Stroke Management (22 papers), Stroke Rehabilitation and Recovery (12 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). Tzu-Ching Wu is often cited by papers focused on Acute Ischemic Stroke Management (22 papers), Stroke Rehabilitation and Recovery (12 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). Tzu-Ching Wu collaborates with scholars based in United States, Taiwan and Canada. Tzu-Ching Wu's co-authors include James C. Grotta, Sean I. Savitz, Ritvij Bowry, David Persse, Stephanie Parker, Farhaan Vahidy, Huifeng Jin, José-Miguel Yamal, David J. Freeman and Sun Kim and has published in prestigious journals such as Neurology, Stroke and American Journal of Neuroradiology.

In The Last Decade

Tzu-Ching Wu

24 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tzu-Ching Wu United States 13 399 200 178 156 114 24 620
Zhongping An China 12 239 0.6× 77 0.4× 58 0.3× 19 0.1× 130 1.1× 20 482
Jun Tu China 12 278 0.7× 101 0.5× 73 0.4× 21 0.1× 150 1.3× 25 493
RL Sacco United States 5 299 0.7× 36 0.2× 83 0.5× 16 0.1× 113 1.0× 5 586
Tai Hwan Park South Korea 12 202 0.5× 73 0.4× 62 0.3× 51 0.3× 109 1.0× 36 434
Sally Castle Australia 6 116 0.3× 50 0.3× 39 0.2× 33 0.2× 55 0.5× 8 334
B. Sathya United States 4 346 0.9× 19 0.1× 74 0.4× 16 0.1× 76 0.7× 9 664
Jacek Budzyński Poland 13 58 0.1× 21 0.1× 14 0.1× 24 0.2× 77 0.7× 86 630
Weimin Zhang China 10 154 0.4× 6 0.0× 51 0.3× 17 0.1× 53 0.5× 23 422

Countries citing papers authored by Tzu-Ching Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tzu-Ching Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu-Ching Wu. 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 Tzu-Ching Wu. The network helps show where Tzu-Ching Wu may publish in the future.

Co-authorship network of co-authors of Tzu-Ching Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu-Ching Wu. A scholar is included among the top collaborators of Tzu-Ching Wu 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 Tzu-Ching Wu. Tzu-Ching Wu 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.
Wu, Tzu-Ching, Michele Joseph, Liang Zhu, et al.. (2021). IAT-TiMeS: Intra-Arterial Thrombectomy Transfer Metric Study in Texas. Journal of Stroke and Cerebrovascular Diseases. 30(3). 105602–105602. 2 indexed citations
2.
Reddy, Sujan, Tzu-Ching Wu, Mohammad H. Rahbar, et al.. (2020). Lack of Racial, Ethnic, and Sex Disparities in Ischemic Stroke Care Metrics within a Tele-Stroke Network. Journal of Stroke and Cerebrovascular Diseases. 30(1). 105418–105418. 12 indexed citations
3.
Bambhroliya, Arvind, et al.. (2019). Rationale and design of a statewide telestroke registry: Lone Star Stroke Consortium Telestroke Registry (LeSteR). BMJ Open. 9(9). e026496–e026496. 10 indexed citations
4.
Bambhroliya, Arvind, et al.. (2019). Outcomes Among Patients With Ischemic Stroke Treated With Intravenous tPA (Tissue-Type Plasminogen Activator) via Telemedicine. Stroke. 50(4). 895–900. 11 indexed citations
5.
Vahidy, Farhaan, et al.. (2019). Variability and Delay in Telestroke Physician Alert among Spokes in a Telestroke Network: A Need for Metric Benchmarks. Journal of Stroke and Cerebrovascular Diseases. 28(11). 104332–104332. 6 indexed citations
6.
Jagolino, Amanda, Arvind Bambhroliya, Chunyan Cai, et al.. (2018). No Weekend or After-Hours Effect in Acute Ischemic Stroke Patients Treated by Telemedicine. Journal of Stroke and Cerebrovascular Diseases. 28(1). 198–204. 8 indexed citations
7.
Vahidy, Farhaan, Arvind Bambhroliya, Jennifer Meeks, et al.. (2018). Rationale and Design of a Statewide Cohort to examine efficient resource utilization for patients with Intracerebral hemorrhage (EnRICH). BMC Neurology. 18(1). 31–31. 8 indexed citations
8.
Bambhroliya, Arvind, et al.. (2017). Benchmarking Telestroke Proficiency. Stroke. 48(9). 2618–2620. 14 indexed citations
9.
Cai, Chunyan, Farhaan Vahidy, Mohammad H. Rahbar, et al.. (2016). Higher prehospital blood pressure prolongs door to needle thrombolysis times: a target for quality improvement?. The American Journal of Emergency Medicine. 34(7). 1268–1272. 4 indexed citations
10.
Denny, Mary Carter, Farhaan Vahidy, José-Miguel Yamal, et al.. (2016). Agreement Among Stroke Faculty and Fellows in Treating Ischemic Stroke Patients With Tissue-Type Plasminogen Activator and Thrombectomy. Stroke. 48(1). 222–224. 15 indexed citations
11.
Jagolino, Amanda, et al.. (2016). A call for formal telemedicine training during stroke fellowship. Neurology. 86(19). 1827–1833. 29 indexed citations
12.
Parker, Stephanie, Ritvij Bowry, Tzu-Ching Wu, et al.. (2015). Establishing the First Mobile Stroke Unit in the United States. Stroke. 46(5). 1384–1391. 79 indexed citations
13.
Vahidy, Farhaan, William J. Hicks, Indrani Acosta, et al.. (2014). Neurofluctuation in patients with subcortical ischemic stroke. Neurology. 83(5). 398–405. 28 indexed citations
14.
Wu, Tzu-Ching, Claude Nguyen, David Persse, et al.. (2014). Prehospital Utility of Rapid Stroke Evaluation Using In-Ambulance Telemedicine. Stroke. 45(8). 2342–2347. 52 indexed citations
15.
Wu, Tzu-Ching, et al.. (2013). Targeting Telestroke: Benchmarking Time Performance in Telestroke Consultations. Journal of Stroke and Cerebrovascular Diseases. 22(4). 470–475. 9 indexed citations
16.
Chang, Yu‐Shan, Chia‐Hsien Chang, Kuo‐Lun Huang, et al.. (2011). Correlation between the flow pattern of the circle of Willis and segmental perfusion asymmetry after carotid artery revascularization. European Journal of Neurology. 18(9). 1132–1138. 7 indexed citations
17.
Wu, Tzu-Ching, Mallikarjunarao Kasam, Nusrat Harun, et al.. (2011). Pharmacological Deep Vein Thrombosis Prophylaxis Does Not Lead to Hematoma Expansion in Intracerebral Hemorrhage With Intraventricular Extension. Stroke. 42(3). 705–709. 31 indexed citations
18.
Wu, Tzu-Ching & James C. Grotta. (2010). Stroke treatment and prevention. Neurology. 75(18_supplement_1). S16–21. 6 indexed citations
19.
20.
Jalili, Thunder, Sun Kim, David J. Freeman, et al.. (2006). Quercetin-Supplemented Diets Lower Blood Pressure and Attenuate Cardiac Hypertrophy in Rats With Aortic Constriction. Journal of Cardiovascular Pharmacology. 47(4). 531–541. 86 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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