Ying Zhou
- Molecular Biology top 5%
- Cancer Research top 5%
- Biomedical Engineering top 5%
- Computational Theory and Mathematics top 1%
- Infectious Diseases top 5%
- Co-authors
- Fengcheng LiFeng ZhuYing ZhangSu ZengYaojiong WuYunxia WangYu KangAbdu Ahmed Abdullah AL‐maskri
- Topics
- Cancer-related molecular mechanisms research (11 papers)RNA modifications and cancer (9 papers)Nanoplatforms for cancer theranostics (8 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaOncogene
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ying Zhou
125 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.0k
- Cancer Research 513
- Biomedical Engineering 507
- Computational Theory and Mathematics 395
- Infectious Diseases 359
Countries citing papers authored by Ying Zhou
This map shows the geographic impact of Ying Zhou'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 Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Zhou more than expected).
Fields of papers citing papers by Ying Zhou
This network shows the impact of papers produced by Ying Zhou. 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 Zhou. The network helps show where Ying Zhou may publish in the future.
Co-authorship network of co-authors of Ying Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zhou. A scholar is included among the top collaborators of Ying Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Zhou. Ying Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 40 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | High L-Valine Concentrations Associate with Increased Oxidative Stress and Newly-Diagnosed Type 2 Diabetes Mellitus: A Cross-Sectional Study | 19 |
| 12 | 3 | |
| 13 | 21 | |
| 14 | 16 | |
| 15 | 372 | |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 51 | |
| 19 | 26 | |
| 20 | Study on biotransformation of 6-methlhydrocortisone in aqueous two-phase systems | 1 |
About Ying Zhou
Ying Zhou is a scholar working on Software, Cancer Research and Molecular Biology, having authored 128 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (9 papers) and Nanoplatforms for cancer theranostics (8 papers). The work is most often cited by research in Cancer Research (513 citations), Molecular Biology (2.0k citations) and Pharmacology (232 citations). Ying Zhou has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Fengcheng Li, Feng Zhu, Ying Zhang, Su Zeng, Yaojiong Wu, Yunxia Wang, Yu Kang, Abdu Ahmed Abdullah AL‐maskri, Minzhe Shen and Jiawei Ye. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Oncogene.
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.