Yau‐Huei Wei
- Clinical Biochemistry top 0.02%
- Metabolism and Genetic Disorders 98
- Aging top 0.2%
- Molecular Biology top 0.2%
- Mitochondrial Function and Pathology 208
- ATP Synthase and ATPases Research 71
- Metabolomics and Mass Spectrometry Studies 30
- RNA modifications and cancer 24
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 27
- Otorhinolaryngology top 0.5%
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- Adipose Tissue and Metabolism 23
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- Sperm and Testicular Function 23
- Co-authors
- Hsin‐Chen LeeShi‐Bei WuCheng‐Yoong PangChih‐Hao WangPen‐Hui YinShu‐Huei KaoYuting WuYi‐Shing Ma
- 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
- Clinical Biochemistry 3.1k
- Aging 573
- Molecular Biology 13.3k
- Cancer Research 2.7k
- Otorhinolaryngology 565
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
The 25 scholars most cited alongside Yau‐Huei Wei, 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 | 9 | |
| 2 | 2021 | 27 | |
| 3 | 2021 | 16 | |
| 4 | 2020 | 3 | |
| 5 | 2017 | 9 | |
| 6 | 2015 | 3 | |
| 7 | 2015 | 18 | |
| 8 | Abstract 16226: Deferoxamine Accelerates Senescence in Endothelial Progenitor Cells (EPC) in vitro and in vivo - A Promising Model for EPC Senescence Research | 2013 | 1 |
| 9 | 2012 | 52 | |
| 10 | Mitochondrial research in translational medicine | 2010 | 5 |
| 11 | 2008 | 2 | |
| 12 | 2008 | 198 | |
| 13 | Mitochondrial stress-induced genes and pathways changes in human hepatoma cells | 2008 | 2 |
| 14 | 2004 | 7 | |
| 15 | 2001 | 2 | |
| 16 | Large-scale mitochondrial DNA deletions in patients with CPEO syndrome in Taiwan | 1998 | 1 |
| 17 | 1996 | 35 | |
| 18 | 1995 | 27 | |
| 19 | 1994 | 116 | |
| 20 | Changes in lipid peroxide levels in the plasma of patients with thermal skin injuries. | 1993 | 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), ATP Synthase and ATPases Research (71 papers), Metabolomics and Mass Spectrometry Studies (30 papers), Cancer, Hypoxia, and Metabolism (27 papers), RNA modifications and cancer (24 papers), Adipose Tissue and Metabolism (23 papers) and Sperm and Testicular Function (23 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.
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.