Te‐Chang Wu
Impact in
- Neurology top 10%
- Neurofibromatosis and Schwannoma Cases
- Intracranial Aneurysms: Treatment and Complications
-
- Glioma Diagnosis and Treatment
Papers in
- Neurology 14
- Intracranial Aneurysms: Treatment and Complications 6
- Intracerebral and Subarachnoid Hemorrhage Research 5
- Co-authors
- Tai-Yuan ChenChing‐Chung KoJeon‐Hor ChenSher-Wei LimMin‐Ying SuYu‐Ting KuoYang ZhangTsung‐Ying Chen
- Journals
- Journal of Computer Assisted Tomography (3 papers)Neurological Sciences (2 papers)Clinical Neurology and Neurosurgery (2 papers)Neuroradiology (1 paper)World Neurosurgery (1 paper)
- Partner nations
- TaiwanUnited StatesThailand
In The Last Decade
Te‐Chang Wu
37 papers receiving 303 citations
Peers
Comparison fields: 5 of 55
- Neurology 122
- Genetics 65
- Health Informatics 7
- Radiology, Nuclear Medicine and Imaging 82
- Rheumatology 49
Countries citing papers authored by Te‐Chang Wu
This map shows the geographic impact of Te‐Chang 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 Te‐Chang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te‐Chang Wu more than expected).
Fields of papers citing papers by Te‐Chang Wu
This network shows the impact of papers produced by Te‐Chang 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 Te‐Chang Wu. The network helps show where Te‐Chang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Te‐Chang Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 33 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 52 | |
| 12 | 2012 | 2 | |
| 13 | 2012 | 12 | |
| 14 | High Resolution Magnetic Resonance Image of Duane's Retraction Syndrome with 3D Fast Imaging Employing Steady-state Acquisition (FIESTA) Sequence: Three Case Reports | 2010 | 1 |
| 15 | A Young Female Patient with Gardner Syndrome: A Case Report | 2008 | 1 |
| 16 | 2008 | 24 | |
| 17 | 2007 | 16 | |
| 18 | 2005 | 6 | |
| 19 | Malignant Retroperitoneal Paraganglioma: a case report and review of literature | 2004 | 2 |
| 20 | 1999 | 3 |
About Te‐Chang Wu
Te‐Chang Wu is a scholar working on Neurology, Health Informatics, Rheumatology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 307 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (6 papers), Meningioma and schwannoma management (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Acute Ischemic Stroke Management (4 papers), Glioma Diagnosis and Treatment (3 papers) and Moyamoya disease diagnosis and treatment (3 papers). The work is most often cited by research in Neurology (122 citations), Genetics (65 citations), Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (82 citations) and Rheumatology (49 citations). Te‐Chang Wu has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Tai-Yuan Chen, Ching‐Chung Ko, Jeon‐Hor Chen, Sher-Wei Lim, Min‐Ying Su, Yu‐Ting Kuo, Yang Zhang, Tsung‐Ying Chen, Ho‐Joon Lee and Wen‐Sheng Tzeng. Their work appears in journals such as Journal of Computer Assisted Tomography, Neurological Sciences, Clinical Neurology and Neurosurgery, Neuroradiology and World Neurosurgery.
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.