Jun Yang
Impact in
- Molecular Medicine top 0.5%
- Hydrogels: synthesis, properties, applications
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications
- Nanoparticle-Based Drug Delivery
Papers in
-
- Hydrogels: synthesis, properties, applications 17
- Genetics 15
- Mesenchymal stem cell research 15
- Co-authors
- Toshihiro Akaike (5 shared papers)Zhongwei Gu (22 shared papers)Chong‐Su Cho (3 shared papers)Chong Su Cho (1 shared paper)Hongli Mao (12 shared papers)Jae Woon Nah (1 shared paper)Su Il Kim (1 shared paper)Yiyan He (7 shared papers)
- Journals
- Journal of Materials Chemistry B (9 papers)Biomaterials (5 papers)ACS Applied Materials & Interfaces (4 papers)Journal of Biomaterials Science Polymer Edition (3 papers)Advanced Healthcare Materials (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Yang
102 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 99
- Molecular Medicine 635
- Biomaterials 763
- Rehabilitation 222
- Pharmaceutical Science 167
- Genetics 164
Countries citing papers authored by Jun Yang
This map shows the geographic impact of Jun 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 Jun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yang more than expected).
Fields of papers citing papers by Jun Yang
This network shows the impact of papers produced by Jun 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 Jun Yang. The network helps show where Jun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 332 | |
| 2 | 2020 | 253 | |
| 3 | 1991 | 200 | |
| 4 | 2011 | 181 | |
| 5 | 2003 | 143 | |
| 6 | 2002 | 133 | |
| 7 | 2008 | 117 | |
| 8 | 2017 | 93 | |
| 9 | 2015 | 86 | |
| 10 | 2001 | 82 | |
| 11 | 2016 | 81 | |
| 12 | 2019 | 78 | |
| 13 | 2009 | 77 | |
| 14 | 2009 | 72 | |
| 15 | An optimized mini-preparation method to obtain high-quality genomic DNA from mature leaves of sunflower. | 2007 | 63 |
| 16 | 2020 | 54 | |
| 17 | 2015 | 49 | |
| 18 | 2022 | 49 | |
| 19 | 2018 | 46 | |
| 20 | 2020 | 41 |
About Jun Yang
Jun Yang is a scholar working on Molecular Medicine, Genetics, Biomaterials, Surgery and Biomedical Engineering, having authored 105 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (20 papers), Hydrogels: synthesis, properties, applications (17 papers), Mesenchymal stem cell research (15 papers), RNA Interference and Gene Delivery (12 papers), Bone Tissue Engineering Materials (10 papers), Membrane Separation Technologies (6 papers), Cellular Mechanics and Interactions (5 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). The work is most often cited by research in Molecular Medicine (635 citations), Biomaterials (763 citations), Rehabilitation (222 citations), Pharmaceutical Science (167 citations) and Genetics (164 citations). Jun Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Toshihiro Akaike, Zhongwei Gu, Chong‐Su Cho, Chong Su Cho, Hongli Mao, Jae Woon Nah, Su Il Kim, Yiyan He, Mitsuaki Goto and R. Stephen Lloyd. Their work appears in journals such as Journal of Materials Chemistry B, Biomaterials, ACS Applied Materials & Interfaces, Journal of Biomaterials Science Polymer Edition and Advanced Healthcare 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.