Yu-Yu Wu
- Cognitive Neuroscience top 5%
- Clinical Psychology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Psychiatry and Mental health top 5%
- Infectious Diseases top 10%
- Co-authors
- Susan Shur‐Fen GauLuan‐Yin ChangLi‐Min HuangTzou‐Yien LinWen-Jiun ChouHuey‐Ling ChiangShao-Hsuan HsiaKuang-Lin Lin
- Topics
- Energy, Environment, Economic Growth (7 papers)Autism Spectrum Disorder Research (7 papers)Child and Adolescent Psychosocial and Emotional Development (6 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaPEDIATRICS
In The Last Decade
Yu-Yu Wu
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Cognitive Neuroscience 376
- Clinical Psychology 352
- Cardiology and Cardiovascular Medicine 268
- Psychiatry and Mental health 207
- Infectious Diseases 187
Countries citing papers authored by Yu-Yu Wu
This map shows the geographic impact of Yu-Yu 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 Yu-Yu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Yu Wu more than expected).
Fields of papers citing papers by Yu-Yu Wu
This network shows the impact of papers produced by Yu-Yu 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 Yu-Yu Wu. The network helps show where Yu-Yu Wu may publish in the future.
Co-authorship network of co-authors of Yu-Yu Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Yu Wu. A scholar is included among the top collaborators of Yu-Yu 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 Yu-Yu Wu. Yu-Yu Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 16 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 26 | |
| 13 | 8 | |
| 14 | Effects of transforming growth factor-β2 on myocilin expression and secretion in human primary cultured trabecular meshwork cells. | 6 |
| 15 | 24 | |
| 16 | 98 | |
| 17 | 41 | |
| 18 | 31 | |
| 19 | 28 | |
| 20 | 273 |
About Yu-Yu Wu
Yu-Yu Wu is a scholar working on Ophthalmology, Cognitive Neuroscience and Psychiatry and Mental health, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (7 papers), Autism Spectrum Disorder Research (7 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). The work is most often cited by research in Cognitive Neuroscience (376 citations), Clinical Psychology (352 citations) and Psychiatry and Mental health (207 citations). Yu-Yu Wu has collaborated with scholars based in China, Taiwan and Macao. Frequent co-authors include Susan Shur‐Fen Gau, Luan‐Yin Chang, Li‐Min Huang, Tzou‐Yien Lin, Wen-Jiun Chou, Huey‐Ling Chiang, Shao-Hsuan Hsia, Kuang-Lin Lin, Daniel Tsung‐Ning Huang and Chun‐Yi Lu. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PEDIATRICS.
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.