Han Yang
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
- Molecular Medicine top 5%
Papers in
-
- Nanoplatforms for cancer theranostics 20
- Bone Tissue Engineering Materials 10
-
- RNA Interference and Gene Delivery 10
- Advanced biosensing and bioanalysis techniques 8
- Extracellular vesicles in disease 7
- Co-authors
- Dae Gyun Woo (18 shared papers)Keun-Hong Park (14 shared papers)Ji Sun Park (15 shared papers)Su Yeon Jeon (10 shared papers)Kun Na (9 shared papers)Jin Chang (8 shared papers)Daohe Wei (8 shared papers)Ji Soo Park (5 shared papers)
- Journals
- Biomaterials (17 papers)Chemical Engineering Journal (4 papers)Journal of Materials Chemistry B (3 papers)Small (3 papers)Bioactive Materials (2 papers)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Han Yang
74 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 124
- Biomaterials 687
- Molecular Medicine 133
- Biomedical Engineering 1.1k
- Pharmaceutical Science 145
- Urology 77
Countries citing papers authored by Han Yang
This map shows the geographic impact of Han 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 Han Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Yang more than expected).
Fields of papers citing papers by Han Yang
This network shows the impact of papers produced by Han 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 Han Yang. The network helps show where Han Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 170 | |
| 2 | 2007 | 125 | |
| 3 | 2020 | 122 | |
| 4 | 2020 | 118 | |
| 5 | 2021 | 104 | |
| 6 | 2021 | 95 | |
| 7 | 2010 | 84 | |
| 8 | 2022 | 76 | |
| 9 | 2009 | 73 | |
| 10 | 2010 | 72 | |
| 11 | 2020 | 68 | |
| 12 | 2008 | 68 | |
| 13 | 2019 | 67 | |
| 14 | 2014 | 58 | |
| 15 | 2010 | 56 | |
| 16 | 2013 | 53 | |
| 17 | 2009 | 48 | |
| 18 | 2021 | 44 | |
| 19 | 2008 | 43 | |
| 20 | 2023 | 39 |
About Han Yang
Han Yang is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Rheumatology and Materials Chemistry, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (20 papers), RNA Interference and Gene Delivery (10 papers), Bone Tissue Engineering Materials (10 papers), Nanoparticle-Based Drug Delivery (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), Extracellular vesicles in disease (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). The work is most often cited by research in Biomaterials (687 citations), Molecular Medicine (133 citations), Biomedical Engineering (1.1k citations), Pharmaceutical Science (145 citations) and Urology (77 citations). Han Yang has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Dae Gyun Woo, Keun-Hong Park, Ji Sun Park, Su Yeon Jeon, Kun Na, Jin Chang, Daohe Wei, Ji Soo Park, Hyung‐Min Chung and Yi Li. Their work appears in journals such as Biomaterials, Chemical Engineering Journal, Journal of Materials Chemistry B, Small and Bioactive 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.