Shaoning Yu
Impact in
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- Bacterial Identification and Susceptibility Testing
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- Biosensors and Analytical Detection
Papers in
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- Advanced biosensing and bioanalysis techniques 9
- Extracellular vesicles in disease 2
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- Advanced Nanomaterials in Catalysis 8
- Co-authors
- Hao Shen (11 shared papers)Bin Feng (9 shared papers)Ruiwen Li (3 shared papers)Jianhua Zhu (2 shared papers)Min Sun (2 shared papers)Chuan‐Fan Ding (3 shared papers)Liangqiang Chen (8 shared papers)Heng Fan (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (5 papers)Microchemical Journal (3 papers)Microbiology Spectrum (3 papers)Microchimica Acta (2 papers)Biosensors and Bioelectronics (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shaoning Yu
23 papers receiving 303 citations
Peers
Comparison fields: 5 of 63
- Clinical Biochemistry 22
- Biomedical Engineering 114
- Molecular Biology 173
- Inorganic Chemistry 33
- Materials Chemistry 104
Countries citing papers authored by Shaoning Yu
This map shows the geographic impact of Shaoning Yu'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 Shaoning Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoning Yu more than expected).
Fields of papers citing papers by Shaoning Yu
This network shows the impact of papers produced by Shaoning Yu. 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 Shaoning Yu. The network helps show where Shaoning Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoning Yu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 59 | |
| 2 | 2022 | 37 | |
| 3 | 2024 | 29 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 15 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2025 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 2 |
About Shaoning Yu
Shaoning Yu is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Clinical Biochemistry and Biotechnology, having authored 28 papers that have together received 305 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), Advanced Nanomaterials in Catalysis (8 papers), Biosensors and Analytical Detection (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Advanced Glycation End Products research (3 papers), Electrochemical sensors and biosensors (3 papers), Extracellular vesicles in disease (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Clinical Biochemistry (22 citations), Biomedical Engineering (114 citations), Molecular Biology (173 citations), Inorganic Chemistry (33 citations) and Materials Chemistry (104 citations). Shaoning Yu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hao Shen, Bin Feng, Ruiwen Li, Jianhua Zhu, Min Sun, Chuan‐Fan Ding, Liangqiang Chen, Heng Fan, Mengdi Hao and Min Wang. Their work appears in journals such as International Journal of Biological Macromolecules, Microchemical Journal, Microbiology Spectrum, Microchimica Acta and Biosensors and Bioelectronics.
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.