Jui-Ching Wu
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
-
- Microtubule and mitosis dynamics
Papers in
-
- Photosynthetic Processes and Mechanisms 3
- DNA Repair Mechanisms 3
- Mitochondrial Function and Pathology 3
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- Lesilee S. Rose (3 shared papers)Diana S. Chu (2 shared papers)Diane C. Shakes (1 shared paper)Penny L. Sadler (1 shared paper)Landon L. Moore (1 shared paper)Meng-Fu Bryan Tsou (1 shared paper)Daniel A. Starr (1 shared paper)Christian J. Malone (1 shared paper)
- Journals
- Developmental Biology (2 papers)Development (2 papers)Optics Express (1 paper)Scientific Reports (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Jui-Ching Wu
19 papers receiving 380 citations
Peers
Comparison fields: 5 of 75
- Aging 166
- Cell Biology 92
- Endocrine and Autonomic Systems 27
- Acoustics and Ultrasonics 3
- Molecular Biology 192
Countries citing papers authored by Jui-Ching Wu
This map shows the geographic impact of Jui-Ching 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 Jui-Ching Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Ching Wu more than expected).
Fields of papers citing papers by Jui-Ching Wu
This network shows the impact of papers produced by Jui-Ching 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 Jui-Ching Wu. The network helps show where Jui-Ching Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jui-Ching 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 102 | |
| 2 | 2011 | 41 | |
| 3 | 2009 | 40 | |
| 4 | 2022 | 36 | |
| 5 | 2010 | 35 | |
| 6 | 2007 | 28 | |
| 7 | 2016 | 24 | |
| 8 | 2020 | 19 | |
| 9 | 2021 | 11 | |
| 10 | 1996 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 6 | |
| 13 | 2016 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Jui-Ching Wu
Jui-Ching Wu is a scholar working on Molecular Biology, Aging, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 384 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers), DNA Repair Mechanisms (3 papers), Reproductive Biology and Fertility (3 papers), Mitochondrial Function and Pathology (3 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Aging (166 citations), Cell Biology (92 citations), Endocrine and Autonomic Systems (27 citations), Acoustics and Ultrasonics (3 citations) and Molecular Biology (192 citations). Jui-Ching Wu has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Lesilee S. Rose, Diana S. Chu, Diane C. Shakes, Penny L. Sadler, Landon L. Moore, Meng-Fu Bryan Tsou, Daniel A. Starr, Christian J. Malone, Jin Liu and Eric J. Routman. Their work appears in journals such as Developmental Biology, Development, Optics Express, Scientific Reports and The Journal of Cell Biology.
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.