June‐Tai Wu
- Aging top 5%
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 7
- Histone Deacetylase Inhibitors Research 4
- Genomics and Chromatin Dynamics 3
- Oncology top 10%
- Cancer-related Molecular Pathways 3
- Geriatrics and Gerontology top 10%
- Cell Biology top 10%
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- Neurobiology and Insect Physiology Research 6
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- Autophagy in Disease and Therapy 4
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- Spectroscopy Techniques in Biomedical and Chemical Research 3
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- Bee Products Chemical Analysis 3
- Co-authors
- Xuan ZhaoPatrick J. MurphyTso-Pang YaoStéphanie GaillardWilliam B. PrattDavid O. ToftMinoru YoshidaJeffrey J. Kovacs
- Cited by
- AgingMolecular BiologyOncology
- Partner nations
- TaiwanUnited StatesIsrael
In The Last Decade
June‐Tai Wu
42 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Aging 50
- Molecular Biology 1.4k
- Oncology 369
- Geriatrics and Gerontology 43
- Cell Biology 154
Countries citing papers authored by June‐Tai Wu
This map shows the geographic impact of June‐Tai 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 June‐Tai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites June‐Tai Wu more than expected).
Fields of papers citing papers by June‐Tai Wu
This network shows the impact of papers produced by June‐Tai 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 June‐Tai Wu. The network helps show where June‐Tai Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside June‐Tai 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 | 2023 | 3 | |
| 2 | 2018 | 9 | |
| 3 | 2016 | 2 | |
| 4 | 2016 | 7 | |
| 5 | 2016 | 15 | |
| 6 | 2016 | 24 | |
| 7 | 2016 | 1 | |
| 8 | 2015 | 40 | |
| 9 | 2015 | 13 | |
| 10 | 2015 | 53 | |
| 11 | 2015 | 55 | |
| 12 | 2014 | 8 | |
| 13 | 2014 | 9 | |
| 14 | 2012 | 16 | |
| 15 | 2012 | 17 | |
| 16 | 2012 | 5 | |
| 17 | 2011 | 8 | |
| 18 | 2011 | 123 | |
| 19 | 2011 | 14 | |
| 20 | 2008 | 10 |
About June‐Tai Wu
June‐Tai Wu is a scholar working on Biophysics, Aging, Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Neurobiology and Insect Physiology Research (6 papers), Histone Deacetylase Inhibitors Research (4 papers), Autophagy in Disease and Therapy (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Bee Products Chemical Analysis (3 papers), Cancer-related Molecular Pathways (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (50 citations), Molecular Biology (1.4k citations), Oncology (369 citations), Geriatrics and Gerontology (43 citations) and Cell Biology (154 citations). June‐Tai Wu has collaborated with scholars based in Taiwan, United States and Israel. Frequent co-authors include Xuan Zhao, Patrick J. Murphy, Tso-Pang Yao, Stéphanie Gaillard, William B. Pratt, David O. Toft, Minoru Yoshida, Jeffrey J. Kovacs, Christopher V. Nicchitta and Cheng‐Ting Chien. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of Biomedical Optics, PLoS Genetics and Journal of Cell Science.
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.