Kai Yang
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Lipid Membrane Structure and Behavior 53
- RNA Interference and Gene Delivery 19
- Advanced biosensing and bioanalysis techniques 12
-
- Graphene and Nanomaterials Applications 10
- Co-authors
- Yu‐qiang Ma (27 shared papers)Bing Yuan (80 shared papers)Jingliang Li (18 shared papers)Xianren Zhang (4 shared papers)Ye Li (3 shared papers)Tongtao Yue (2 shared papers)Zhi-Xiong Deng (9 shared papers)Jiaojiao Liu (11 shared papers)
- Journals
- The Journal of Physical Chemistry Letters (8 papers)The Journal of Physical Chemistry B (7 papers)Nanoscale (7 papers)ACS Nano (6 papers)Carbon (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Kai Yang
130 papers receiving 2.7k citations
Kai Yang's Hit Papers
Peers
Comparison fields: 5 of 135
- Microbiology 347
- Biomaterials 611
- Molecular Medicine 223
- Surfaces, Coatings and Films 204
- Molecular Biology 1.3k
Countries citing papers authored by Kai Yang
This map shows the geographic impact of Kai Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yang more than expected).
Fields of papers citing papers by Kai Yang
This network shows the impact of papers produced by Kai Yang. 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 Yang. The network helps show where Kai Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yang, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Computer simulation of the translocation of nanoparticles with different shapes across a lipid bilayer Hit paper breakdown → | 2010 | 605 |
| 2 | 2012 | 145 | |
| 3 | 2019 | 92 | |
| 4 | 2019 | 63 | |
| 5 | 2022 | 63 | |
| 6 | 2015 | 61 | |
| 7 | 2018 | 51 | |
| 8 | 2019 | 45 | |
| 9 | 2020 | 43 | |
| 10 | 2020 | 41 | |
| 11 | 2012 | 38 | |
| 12 | 2011 | 36 | |
| 13 | 2024 | 35 | |
| 14 | 2013 | 35 | |
| 15 | 2020 | 35 | |
| 16 | 2014 | 34 | |
| 17 | 2020 | 34 | |
| 18 | 2019 | 34 | |
| 19 | 2013 | 33 | |
| 20 | 2015 | 32 |
About Kai Yang
Kai Yang is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Microbiology and Materials Chemistry, having authored 138 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (53 papers), Antimicrobial Peptides and Activities (23 papers), RNA Interference and Gene Delivery (19 papers), Antibiotic Resistance in Bacteria (12 papers), Advanced biosensing and bioanalysis techniques (12 papers), Nanoparticle-Based Drug Delivery (11 papers), Graphene and Nanomaterials Applications (10 papers) and Supramolecular Self-Assembly in Materials (10 papers). The work is most often cited by research in Microbiology (347 citations), Biomaterials (611 citations), Molecular Medicine (223 citations), Surfaces, Coatings and Films (204 citations) and Molecular Biology (1.3k citations). Kai Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yu‐qiang Ma, Bing Yuan, Jingliang Li, Xianren Zhang, Ye Li, Tongtao Yue, Zhi-Xiong Deng, Jiaojiao Liu, Xuemei Lu and Xuemei Lu. Their work appears in journals such as The Journal of Physical Chemistry Letters, The Journal of Physical Chemistry B, Nanoscale, ACS Nano and Carbon.
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.