Yingying Duan
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds 4
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- DNA and Biological Computing 5
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
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- Cancer-related molecular mechanisms research 3
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- COVID-19 Clinical Research Studies 3
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- Ferroptosis and cancer prognosis 3
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- Remote-Sensing Image Classification 3
- Journals
- Scientific Reports (1 paper)International Journal of Molecular Sciences (1 paper)Journal of Experimental Botany (1 paper)
- Partner nations
- ChinaSpainUnited States
In The Last Decade
Yingying Duan
49 papers receiving 585 citations
Peers
Comparison fields: 5 of 131
- Complementary and alternative medicine 77
- Pharmacology 55
- Molecular Biology 243
- Cancer Research 52
- Biological Psychiatry 8
Countries citing papers authored by Yingying Duan
This map shows the geographic impact of Yingying Duan'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 Yingying Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingying Duan more than expected).
Fields of papers citing papers by Yingying Duan
This network shows the impact of papers produced by Yingying Duan. 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 Yingying Duan. The network helps show where Yingying Duan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yingying Duan, 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 | 2025 | 11 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 34 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 10 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 9 | |
| 18 | Application of Weighted Spiking Neural P Systems with Rules on Synapses for Breaking RSA Encryption. | 2020 | 6 |
| 19 | A Membrane-Inspired Algorithm with Exchange-Tree Mechanism for Traffic Network Transportation Optimization Problem. | 2020 | 2 |
| 20 | 2019 | 61 |
About Yingying Duan
Yingying Duan is a scholar working on Biological Psychiatry, Pharmacology and Media Technology, having authored 53 papers that have together received 594 indexed citations. Recurring topics across this work include DNA and Biological Computing (5 papers), Pharmacological Effects of Natural Compounds (4 papers), COVID-19 Clinical Research Studies (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), Genomics and Chromatin Dynamics (3 papers), Remote-Sensing Image Classification (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Complementary and alternative medicine (77 citations), Pharmacology (55 citations) and Molecular Biology (243 citations). Yingying Duan has collaborated with scholars based in China, Spain and United States. Frequent co-authors include De Jin, Fengmei Lian, Xuedong An, Liyun Duan, Shenghui Zhao, Yuehong Zhang, Xiaolin Tong, Haina Rong, Gexiang Zhang and Rongrong Zhou. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Experimental Botany.
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.