Xian‐Da Yang
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
Papers in
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- Advanced biosensing and bioanalysis techniques 13
- RNA Interference and Gene Delivery 11
- DNA and Nucleic Acid Chemistry 3
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- Nanoplatforms for cancer theranostics 7
- Co-authors
- Jinhong Duan (17 shared papers)Yan Hu (7 shared papers)Haiyan Xu (5 shared papers)Xin Lu (4 shared papers)Chen Wang (4 shared papers)Jie Meng (3 shared papers)Xundou Li (10 shared papers)Wei Liang (1 shared paper)
- Journals
- PLoS ONE (5 papers)Molecules (4 papers)Cancer Nanotechnology (3 papers)Scientific Reports (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xian‐Da Yang
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Biomaterials 311
- Molecular Biology 848
- Biomedical Engineering 417
- Pharmaceutical Science 39
- Geriatrics and Gerontology 25
Countries citing papers authored by Xian‐Da Yang
This map shows the geographic impact of Xian‐Da 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 Xian‐Da Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xian‐Da Yang more than expected).
Fields of papers citing papers by Xian‐Da Yang
This network shows the impact of papers produced by Xian‐Da 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 Xian‐Da Yang. The network helps show where Xian‐Da Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xian‐Da 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 175 | |
| 2 | 2011 | 159 | |
| 3 | 2012 | 148 | |
| 4 | 2012 | 130 | |
| 5 | 2008 | 89 | |
| 6 | 2016 | 67 | |
| 7 | 2020 | 57 | |
| 8 | 2011 | 41 | |
| 9 | 2009 | 34 | |
| 10 | 2020 | 32 | |
| 11 | 2010 | 29 | |
| 12 | 2013 | 28 | |
| 13 | 2014 | 25 | |
| 14 | 2014 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2021 | 18 | |
| 17 | 2023 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2016 | 14 |
About Xian‐Da Yang
Xian‐Da Yang is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Immunology and Oncology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (13 papers), RNA Interference and Gene Delivery (11 papers), Nanoparticle-Based Drug Delivery (8 papers), Nanoplatforms for cancer theranostics (7 papers), Immunotherapy and Immune Responses (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), DNA and Nucleic Acid Chemistry (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Biomaterials (311 citations), Molecular Biology (848 citations), Biomedical Engineering (417 citations), Pharmaceutical Science (39 citations) and Geriatrics and Gerontology (25 citations). Xian‐Da Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jinhong Duan, Yan Hu, Haiyan Xu, Xin Lu, Chen Wang, Jie Meng, Xundou Li, Wei Liang, Chen Wang and Chenchen Yu. Their work appears in journals such as PLoS ONE, Molecules, Cancer Nanotechnology, Scientific Reports and Oncotarget.
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.