Kai‐Wei Yu
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
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- Microtubule and mitosis dynamics 7
-
- Antibiotic Resistance in Bacteria 3
- Co-authors
- Zhen‐Yu She (7 shared papers)Liang Yang (4 shared papers)Yang Fu (1 shared paper)Peng Xue (1 shared paper)Ya‐Lan Wei (5 shared papers)Lin Yang (4 shared papers)Dimitri Papukashvili (1 shared paper)Yueling Li (3 shared papers)
- Journals
- European Journal of Cell Biology (2 papers)International Journal of Molecular Sciences (2 papers)Annals of Clinical and Translational Neurology (2 papers)Parkinsonism & Related Disorders (2 papers)Journal of NeuroInterventional Surgery (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Kai‐Wei Yu
31 papers receiving 339 citations
Peers
Comparison fields: 5 of 71
- Molecular Medicine 38
- Endocrinology 38
- Cell Biology 63
- Microbiology 17
- Molecular Biology 138
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 61 | |
| 2 | 2021 | 46 | |
| 3 | 2018 | 32 | |
| 4 | 2019 | 21 | |
| 5 | 2022 | 17 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2015 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2022 | 6 |
About Kai‐Wei Yu
Kai‐Wei Yu is a scholar working on Cell Biology, Molecular Medicine, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 35 papers that have together received 342 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Hereditary Neurological Disorders (4 papers), Antibiotic Resistance in Bacteria (3 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Molecular Medicine (38 citations), Endocrinology (38 citations), Cell Biology (63 citations), Microbiology (17 citations) and Molecular Biology (138 citations). Kai‐Wei Yu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Zhen‐Yu She, Liang Yang, Yang Fu, Peng Xue, Ya‐Lan Wei, Lin Yang, Dimitri Papukashvili, Yueling Li, Xingyun Wang and Minghui Lu. Their work appears in journals such as European Journal of Cell Biology, International Journal of Molecular Sciences, Annals of Clinical and Translational Neurology, Parkinsonism & Related Disorders and Journal of NeuroInterventional Surgery.
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.