Kaiyan Xi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Extracellular vesicles in disease 3
- Circular RNAs in diseases 2
- ATP Synthase and ATPases Research 1
-
- Nanoplatforms for cancer theranostics 5
- Co-authors
- Yulin Zhang (10 shared papers)Xingang Li (5 shared papers)Jian Wang (3 shared papers)Yuan Ma (4 shared papers)Junpeng Wang (3 shared papers)Shilei Ni (3 shared papers)Bin Huang (4 shared papers)Yang Kong (2 shared papers)
- Journals
- Nature Communications (2 papers)The Journal of Headache and Pain (1 paper)ACS Nano (1 paper)Water Resources Management (1 paper)Materials & Design (1 paper)
- Partner nations
- ChinaNorwayNew Zealand
In The Last Decade
Kaiyan Xi
14 papers receiving 546 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 173
- Biomaterials 113
- Pulmonary and Respiratory Medicine 198
- Genetics 39
- Molecular Biology 245
Countries citing papers authored by Kaiyan Xi
This map shows the geographic impact of Kaiyan Xi'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 Kaiyan Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyan Xi more than expected).
Fields of papers citing papers by Kaiyan Xi
This network shows the impact of papers produced by Kaiyan Xi. 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 Kaiyan Xi. The network helps show where Kaiyan Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiyan Xi, 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 | 2021 | 148 | |
| 2 | 2020 | 142 | |
| 3 | 2021 | 83 | |
| 4 | 2023 | 37 | |
| 5 | 2024 | 34 | |
| 6 | 2019 | 26 | |
| 7 | 2024 | 24 | |
| 8 | 2020 | 16 | |
| 9 | 2024 | 16 | |
| 10 | 2024 | 9 | |
| 11 | 2020 | 7 | |
| 12 | 2023 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 2 |
About Kaiyan Xi
Kaiyan Xi is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 14 papers that have together received 549 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Ferroptosis and cancer prognosis (4 papers), MicroRNA in disease regulation (3 papers), Extracellular vesicles in disease (3 papers), Circular RNAs in diseases (2 papers), Glioma Diagnosis and Treatment (2 papers), Cancer-related molecular mechanisms research (2 papers) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Cancer Research (173 citations), Biomaterials (113 citations), Pulmonary and Respiratory Medicine (198 citations), Genetics (39 citations) and Molecular Biology (245 citations). Kaiyan Xi has collaborated with scholars based in China, Norway and New Zealand. Frequent co-authors include Yulin Zhang, Xingang Li, Jian Wang, Yuan Ma, Junpeng Wang, Shilei Ni, Bin Huang, Yang Kong, Frits Thorsen and Zhiwei Li. Their work appears in journals such as Nature Communications, The Journal of Headache and Pain, ACS Nano, Water Resources Management and Materials & Design.
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.