Shaoying Yan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 4
- Advanced biosensing and bioanalysis techniques 2
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 4
- Co-authors
- Hua Tang (11 shared papers)Ailong Huang (5 shared papers)Yuyang Liu (4 shared papers)Tao Zeng (3 shared papers)Liying Zhu (3 shared papers)Juan Chen (3 shared papers)Hao Dang (3 shared papers)Dan Wang (5 shared papers)
- Journals
- Cancer Nanotechnology (2 papers)Experimental Cell Research (2 papers)Acta Diabetologica (1 paper)Journal of Nanobiotechnology (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Shaoying Yan
16 papers receiving 296 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 180
- Molecular Biology 179
- Hepatology 10
- Biomaterials 12
- Pulmonary and Respiratory Medicine 20
Countries citing papers authored by Shaoying Yan
This map shows the geographic impact of Shaoying Yan'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 Shaoying Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoying Yan more than expected).
Fields of papers citing papers by Shaoying Yan
This network shows the impact of papers produced by Shaoying Yan. 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 Shaoying Yan. The network helps show where Shaoying Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoying Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2018 | 46 | |
| 3 | 2017 | 46 | |
| 4 | 2019 | 35 | |
| 5 | 2018 | 28 | |
| 6 | 2018 | 21 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2019 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 |
About Shaoying Yan
Shaoying Yan is a scholar working on Molecular Biology, Cancer Research, Electronic, Optical and Magnetic Materials, Biomedical Engineering and Materials Chemistry, having authored 16 papers that have together received 298 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Advanced Nanomaterials in Catalysis (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Nanocluster Synthesis and Applications (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (180 citations), Molecular Biology (179 citations), Hepatology (10 citations), Biomaterials (12 citations) and Pulmonary and Respiratory Medicine (20 citations). Shaoying Yan has collaborated with scholars based in China and United States. Frequent co-authors include Hua Tang, Ailong Huang, Yuyang Liu, Tao Zeng, Liying Zhu, Juan Chen, Hao Dang, Dan Wang, Fengjiao Chen and Yanan Di. Their work appears in journals such as Cancer Nanotechnology, Experimental Cell Research, Acta Diabetologica, Journal of Nanobiotechnology and Gene.
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.