Shuna Wang
Impact in
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- Carbon and Quantum Dots Applications
- Advanced Nanomaterials in Catalysis
- Nanocluster Synthesis and Applications
- Ophthalmology top 10%
Papers in
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- Solid State Laser Technologies 3
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- Advanced Nanomaterials in Catalysis 8
- Nanocluster Synthesis and Applications 7
- Carbon and Quantum Dots Applications 5
- Co-authors
- Yang Yao (1 shared paper)Hong Bi (5 shared papers)Mingsheng Xu (3 shared papers)Yizhong Lu (4 shared papers)Antônio Cláudio Tedesco (3 shared papers)Zhe Li (4 shared papers)Xiaoyan Wu (2 shared papers)Xin Huang (2 shared papers)
- Journals
- Chinese Optics Letters (2 papers)Ophthalmic Research (1 paper)Applied Physics Letters (1 paper)International Journal of Food Microbiology (1 paper)Scientific Data (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Shuna Wang
36 papers receiving 669 citations
Peers
Comparison fields: 5 of 113
- Materials Chemistry 305
- Ophthalmology 39
- Endocrinology 23
- Cancer Research 46
- Biotechnology 29
Countries citing papers authored by Shuna Wang
This map shows the geographic impact of Shuna Wang'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 Shuna Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuna Wang more than expected).
Fields of papers citing papers by Shuna Wang
This network shows the impact of papers produced by Shuna Wang. 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 Shuna Wang. The network helps show where Shuna Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuna Wang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 93 | |
| 2 | 2022 | 69 | |
| 3 | 2010 | 52 | |
| 4 | 2021 | 49 | |
| 5 | 2021 | 40 | |
| 6 | 2022 | 39 | |
| 7 | 2018 | 36 | |
| 8 | 2022 | 32 | |
| 9 | 2007 | 31 | |
| 10 | 2021 | 30 | |
| 11 | 2022 | 28 | |
| 12 | 2022 | 24 | |
| 13 | 2011 | 22 | |
| 14 | 2022 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2021 | 13 | |
| 17 | 2010 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2015 | 10 |
About Shuna Wang
Shuna Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Atomic and Molecular Physics, and Optics and Ophthalmology, having authored 44 papers that have together received 689 indexed citations. Recurring topics across this work include Advanced Nanomaterials in Catalysis (8 papers), Nanocluster Synthesis and Applications (7 papers), Carbon and Quantum Dots Applications (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Solid State Laser Technologies (3 papers), Fiscal Policy and Economic Growth (2 papers), Photorefractive and Nonlinear Optics (2 papers) and Local Government Finance and Decentralization (2 papers). The work is most often cited by research in Materials Chemistry (305 citations), Ophthalmology (39 citations), Endocrinology (23 citations), Cancer Research (46 citations) and Biotechnology (29 citations). Shuna Wang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Yang Yao, Hong Bi, Mingsheng Xu, Yizhong Lu, Antônio Cláudio Tedesco, Zhe Li, Xiaoyan Wu, Xin Huang, Aiguo Wu and Xiaoxue Zhao. Their work appears in journals such as Chinese Optics Letters, Ophthalmic Research, Applied Physics Letters, International Journal of Food Microbiology and Scientific Data.
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.