Ying Tang
Impact in
- Geriatrics and Gerontology top 5%
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
Papers in
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- Nanoplatforms for cancer theranostics 16
-
- Advanced biosensing and bioanalysis techniques 5
- Mitochondrial Function and Pathology 4
- Co-authors
- Jiangang Long (10 shared papers)Changfeng Wu (8 shared papers)Jiankang Liu (7 shared papers)Xian‐Zheng Zhang (6 shared papers)Mei‐Zhen Zou (1 shared paper)Wenlong Liu (1 shared paper)Fan Gao (1 shared paper)Chuan‐Jun Liu (1 shared paper)
- Journals
- ACS Applied Materials & Interfaces (4 papers)Advanced Functional Materials (2 papers)Analytical Methods (2 papers)Placenta (2 papers)Biomacromolecules (2 papers)
- Partner nations
- ChinaUnited StatesMaldives
In The Last Decade
Ying Tang
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 114
- Geriatrics and Gerontology 70
- Biomedical Engineering 773
- Biological Psychiatry 32
- Biomaterials 159
- Materials Chemistry 555
Countries citing papers authored by Ying Tang
This map shows the geographic impact of Ying Tang'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 Ying Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Tang more than expected).
Fields of papers citing papers by Ying Tang
This network shows the impact of papers produced by Ying Tang. 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 Ying Tang. The network helps show where Ying Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Tang, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 304 | |
| 2 | 2020 | 171 | |
| 3 | 2016 | 132 | |
| 4 | 2015 | 123 | |
| 5 | 2016 | 99 | |
| 6 | 2015 | 98 | |
| 7 | 2016 | 79 | |
| 8 | 2017 | 65 | |
| 9 | 2016 | 65 | |
| 10 | 2018 | 64 | |
| 11 | 2017 | 64 | |
| 12 | 2014 | 60 | |
| 13 | 2013 | 56 | |
| 14 | 2014 | 51 | |
| 15 | 2017 | 49 | |
| 16 | 2014 | 48 | |
| 17 | 2006 | 48 | |
| 18 | 2017 | 47 | |
| 19 | 2014 | 43 | |
| 20 | 2002 | 32 |
About Ying Tang
Ying Tang is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (16 papers), Photodynamic Therapy Research Studies (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Luminescence and Fluorescent Materials (5 papers), Mitochondrial Function and Pathology (4 papers), Immune cells in cancer (3 papers), Adipose Tissue and Metabolism (3 papers) and Solid State Laser Technologies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (70 citations), Biomedical Engineering (773 citations), Biological Psychiatry (32 citations), Biomaterials (159 citations) and Materials Chemistry (555 citations). Ying Tang has collaborated with scholars based in China, United States and Maldives. Frequent co-authors include Jiangang Long, Changfeng Wu, Jiankang Liu, Xian‐Zheng Zhang, Mei‐Zhen Zou, Wenlong Liu, Fan Gao, Chuan‐Jun Liu, Cui Fen Huang and Kaiwen Chang. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Functional Materials, Analytical Methods, Placenta and Biomacromolecules.
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.