Kai‐Wei Yu
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Cell Biology 11
- Microtubule and mitosis dynamics 7
- Cellular transport and secretion 3
- Co-authors
- Zhen‐Yu She (7 shared papers)Liang Yang (4 shared papers)Peng Xue (1 shared paper)Yang Fu (1 shared paper)Lin Yang (4 shared papers)Peng George Wang (1 shared paper)Xing Hu (1 shared paper)Yunjiao He (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Annals of Clinical and Translational Neurology (2 papers)Parkinsonism & Related Disorders (2 papers)European Journal of Cell Biology (2 papers)Cell Death Discovery (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Kai‐Wei Yu
30 papers receiving 287 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 40
- Molecular Medicine 36
- Cell Biology 62
- Microbiology 18
- Molecular Biology 131
Countries citing papers authored by Kai‐Wei Yu
This map shows the geographic impact of Kai‐Wei Yu'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 Kai‐Wei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Wei Yu more than expected).
Fields of papers citing papers by Kai‐Wei Yu
This network shows the impact of papers produced by Kai‐Wei Yu. 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 Kai‐Wei Yu. The network helps show where Kai‐Wei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Wei Yu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 48 | |
| 2 | 2021 | 42 | |
| 3 | 2018 | 27 | |
| 4 | 2019 | 18 | |
| 5 | 2020 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2023 | 4 |
About Kai‐Wei Yu
Kai‐Wei Yu is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Neurology and Epidemiology, having authored 31 papers that have together received 290 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Hereditary Neurological Disorders (4 papers), Acute Ischemic Stroke Management (4 papers), Neurological diseases and metabolism (4 papers), Antibiotic Resistance in Bacteria (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Endocrinology (40 citations), Molecular Medicine (36 citations), Cell Biology (62 citations), Microbiology (18 citations) and Molecular Biology (131 citations). Kai‐Wei Yu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Zhen‐Yu She, Liang Yang, Peng Xue, Yang Fu, Lin Yang, Peng George Wang, Xing Hu, Yunjiao He, Dimitri Papukashvili and Minghui Lu. Their work appears in journals such as International Journal of Molecular Sciences, Annals of Clinical and Translational Neurology, Parkinsonism & Related Disorders, European Journal of Cell Biology and Cell Death Discovery.
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.