Yau‐Huei Wei
- Molecular Biology top 0.2%
- Clinical Biochemistry top 0.02%
- Cancer Research top 0.5%
- Physiology top 0.5%
- Epidemiology top 1%
- Co-authors
- Hsin‐Chen LeeShi‐Bei WuCheng‐Yoong PangChih‐Hao WangPen‐Hui YinShu‐Huei KaoYuting WuYi‐Shing Ma
- Topics
- Mitochondrial Function and Pathology (208 papers)Metabolism and Genetic Disorders (98 papers)ATP Synthase and ATPases Research (71 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yau‐Huei Wei
441 papers receiving 22.5k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Molecular Biology 13.3k
- Clinical Biochemistry 3.1k
- Cancer Research 2.7k
- Physiology 2.7k
- Epidemiology 1.8k
Countries citing papers authored by Yau‐Huei Wei
This map shows the geographic impact of Yau‐Huei Wei'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 Yau‐Huei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yau‐Huei Wei more than expected).
Fields of papers citing papers by Yau‐Huei Wei
This network shows the impact of papers produced by Yau‐Huei Wei. 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 Yau‐Huei Wei. The network helps show where Yau‐Huei Wei may publish in the future.
Co-authorship network of co-authors of Yau‐Huei Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Yau‐Huei Wei. A scholar is included among the top collaborators of Yau‐Huei Wei 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 Yau‐Huei Wei. Yau‐Huei Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 27 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | Abstract 16226: Deferoxamine Accelerates Senescence in Endothelial Progenitor Cells (EPC) in vitro and in vivo - A Promising Model for EPC Senescence Research | 1 |
| 9 | 52 | |
| 10 | Mitochondrial research in translational medicine | 5 |
| 11 | 2 | |
| 12 | 198 | |
| 13 | Mitochondrial stress-induced genes and pathways changes in human hepatoma cells | 2 |
| 14 | 7 | |
| 15 | 2 | |
| 16 | Large-scale mitochondrial DNA deletions in patients with CPEO syndrome in Taiwan | 1 |
| 17 | 35 | |
| 18 | 27 | |
| 19 | 116 | |
| 20 | Changes in lipid peroxide levels in the plasma of patients with thermal skin injuries. | 8 |
About Yau‐Huei Wei
Yau‐Huei Wei is a scholar working on Clinical Biochemistry, Molecular Biology and Reproductive Medicine, having authored 448 papers that have together received 23.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (208 papers), Metabolism and Genetic Disorders (98 papers) and ATP Synthase and ATPases Research (71 papers). The work is most often cited by research in Clinical Biochemistry (3.1k citations), Aging (573 citations) and Molecular Biology (13.3k citations). Yau‐Huei Wei has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hsin‐Chen Lee, Shi‐Bei Wu, Cheng‐Yoong Pang, Chih‐Hao Wang, Pen‐Hui Yin, Shu‐Huei Kao, Yuting Wu, Yi‐Shing Ma, Jin‐Ching Lin and Yu‐Guo Guo. Their work appears in journals such as New England Journal of Medicine, Cell and Journal of the American Chemical Society.
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.