Kexin Su
Impact in
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Lipid Membrane Structure and Behavior
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- Nanoparticle-Based Drug Delivery
Papers in
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- RNA Interference and Gene Delivery 11
- Advanced biosensing and bioanalysis techniques 7
- Lipid Membrane Structure and Behavior 2
- Oncology 3
- Cancer Cells and Metastasis 2
- Co-authors
- Shuai Liu (11 shared papers)Lu Shi (9 shared papers)Lixin Lin (7 shared papers)Xinxin Yan (6 shared papers)Shiqi Wu (6 shared papers)Zhen Gu (1 shared paper)Jiahui Zhao (1 shared paper)Chaoyang Meng (1 shared paper)
- Journals
- Angewandte Chemie International Edition (3 papers)Nature Communications (1 paper)Frontiers in Oncology (1 paper)Acta Pharmaceutica Sinica B (1 paper)Chemico-Biological Interactions (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kexin Su
17 papers receiving 387 citations
Kexin Su's Hit Papers
Peers
Comparison fields: 5 of 63
- Molecular Biology 300
- Biomaterials 31
- Cancer Research 30
- Immunology 35
- Genetics 38
Countries citing papers authored by Kexin Su
This map shows the geographic impact of Kexin Su'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 Kexin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kexin Su more than expected).
Fields of papers citing papers by Kexin Su
This network shows the impact of papers produced by Kexin Su. 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 Kexin Su. The network helps show where Kexin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Kexin Su, 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 | Reformulating lipid nanoparticles for organ-targeted mRNA accumulation and translation Hit paper breakdown → | 2024 | 157 |
| 2 | 2024 | 50 | |
| 3 | 2023 | 42 | |
| 4 | 2024 | 24 | |
| 5 | 2025 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2025 | 15 | |
| 8 | 2023 | 15 | |
| 9 | 2024 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Kexin Su
Kexin Su is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Surgery, having authored 18 papers that have together received 391 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (11 papers), Advanced biosensing and bioanalysis techniques (7 papers), Lipid Membrane Structure and Behavior (2 papers), Cancer Cells and Metastasis (2 papers), Immune Cell Function and Interaction (2 papers), Cancer-related molecular mechanisms research (1 paper), Plant Molecular Biology Research (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Molecular Biology (300 citations), Biomaterials (31 citations), Cancer Research (30 citations), Immunology (35 citations) and Genetics (38 citations). Kexin Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuai Liu, Lu Shi, Lixin Lin, Xinxin Yan, Shiqi Wu, Zhen Gu, Jiahui Zhao, Chaoyang Meng, Yuxuan Chen and Yao Zhang. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications, Frontiers in Oncology, Acta Pharmaceutica Sinica B and Chemico-Biological Interactions.
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.