Chengbin Yang
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 2%
- Nanoplatforms for cancer theranostics
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Nanoplatforms for cancer theranostics 14
- Microfluidic and Capillary Electrophoresis Applications 3
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- RNA Interference and Gene Delivery 18
- Co-authors
- Ken‐Tye Yong (43 shared papers)Zhourui Xu (29 shared papers)Gaixia Xu (28 shared papers)Wing‐Cheung Law (22 shared papers)Ho Sup Yoon (10 shared papers)Yihang Jiang (14 shared papers)Ming‐Jie Yin (3 shared papers)Guimiao Lin (12 shared papers)
In The Last Decade
Chengbin Yang
81 papers receiving 2.9k citations
Chengbin Yang's Hit Papers
Peers
Comparison fields: 5 of 104
- Biomaterials 313
- Biomedical Engineering 836
- Materials Chemistry 571
- Molecular Biology 705
- Bioengineering 25
Countries citing papers authored by Chengbin Yang
This map shows the geographic impact of Chengbin 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 Chengbin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengbin Yang more than expected).
Fields of papers citing papers by Chengbin Yang
This network shows the impact of papers produced by Chengbin 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 Chengbin Yang. The network helps show where Chengbin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengbin 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent advances in exosome-mediated nucleic acid delivery for cancer therapy Hit paper breakdown → | 2022 | 262 |
| 2 | 2018 | 215 | |
| 3 | 2019 | 129 | |
| 4 | 2020 | 119 | |
| 5 | 2015 | 109 | |
| 6 | 2015 | 105 | |
| 7 | 2015 | 79 | |
| 8 | 2021 | 73 | |
| 9 | 2018 | 67 | |
| 10 | 2020 | 66 | |
| 11 | 2023 | 62 | |
| 12 | 2022 | 61 | |
| 13 | 2019 | 60 | |
| 14 | 2021 | 59 | |
| 15 | 2022 | 57 | |
| 16 | 2022 | 57 | |
| 17 | 2022 | 52 | |
| 18 | 2021 | 50 | |
| 19 | 2022 | 47 | |
| 20 | 2017 | 45 |
About Chengbin Yang
Chengbin Yang is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Biomaterials and Electrical and Electronic Engineering, having authored 88 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (18 papers), Nanoplatforms for cancer theranostics (14 papers), Luminescence and Fluorescent Materials (7 papers), Quantum Dots Synthesis And Properties (7 papers), Perovskite Materials and Applications (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Photodynamic Therapy Research Studies (4 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). The work is most often cited by research in Biomaterials (313 citations), Biomedical Engineering (836 citations), Materials Chemistry (571 citations), Molecular Biology (705 citations) and Bioengineering (25 citations). Chengbin Yang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Ken‐Tye Yong, Zhourui Xu, Gaixia Xu, Wing‐Cheung Law, Ho Sup Yoon, Yihang Jiang, Ming‐Jie Yin, Guimiao Lin, Rui Hu and Yujuan Chai. Their work appears in journals such as Journal of Nanobiotechnology, Biomaterials Science, Advanced Healthcare Materials, Nano Energy and Advanced Optical Materials.
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.