Kai Ye
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Organic Chemistry top 10%
- Antimicrobial agents and applications
- Polydiacetylene-based materials and applications
Papers in
-
- Peroxisome Proliferator-Activated Receptors 1
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Co-authors
- Peng Li (1 shared paper)Yin Fun Poon (1 shared paper)Paula T. Hammond (1 shared paper)Hongwei Duan (1 shared paper)Shahrzad Rayatpisheh (1 shared paper)Mary B. Chan‐Park (1 shared paper)Chuncai Zhou (1 shared paper)Jianhua Xu (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)IUBMB Life (1 paper)Chinese Chemical Letters (1 paper)Angewandte Chemie International Edition (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kai Ye
8 papers receiving 443 citations
Peers
Comparison fields: 5 of 70
- Microbiology 127
- Organic Chemistry 179
- Cancer Research 73
- Biomaterials 58
- Molecular Biology 175
Countries citing papers authored by Kai Ye
This map shows the geographic impact of Kai Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ye more than expected).
Fields of papers citing papers by Kai Ye
This network shows the impact of papers produced by Kai Ye. 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 Ye. The network helps show where Kai Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Ye, 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 | 2012 | 241 | |
| 2 | 2022 | 63 | |
| 3 | 2016 | 38 | |
| 4 | 2020 | 33 | |
| 5 | 2017 | 32 | |
| 6 | 2021 | 22 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 3 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 0 |
About Kai Ye
Kai Ye is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Cellular and Molecular Neuroscience and Oncology, having authored 10 papers that have together received 444 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Photoreceptor and optogenetics research (2 papers), MicroRNA in disease regulation (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), PARP inhibition in cancer therapy (1 paper), Supramolecular Chemistry and Complexes (1 paper), Molecular Sensors and Ion Detection (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Microbiology (127 citations), Organic Chemistry (179 citations), Cancer Research (73 citations), Biomaterials (58 citations) and Molecular Biology (175 citations). Kai Ye has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peng Li, Yin Fun Poon, Paula T. Hammond, Hongwei Duan, Shahrzad Rayatpisheh, Mary B. Chan‐Park, Chuncai Zhou, Jianhua Xu, Ya‐Feng Sun and Weinan Liu. Their work appears in journals such as Biochemical and Biophysical Research Communications, IUBMB Life, Chinese Chemical Letters, Angewandte Chemie International Edition and Journal of Cellular Biochemistry.
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.