Zhixing Yao
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Vassilios PapadopoulosKaty DrieuStéphane BastianettoRémi QuirionMartine CultyHua LiZeqiu HanChristoforos Giatzakis
- Topics
- Alzheimer's disease research and treatments (5 papers)Epigenetics and DNA Methylation (5 papers)Cholesterol and Lipid Metabolism (5 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Zhixing Yao
30 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 996
- Physiology 499
- Cellular and Molecular Neuroscience 280
- Endocrinology, Diabetes and Metabolism 249
- Surgery 221
Countries citing papers authored by Zhixing Yao
This map shows the geographic impact of Zhixing Yao'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 Zhixing Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhixing Yao more than expected).
Fields of papers citing papers by Zhixing Yao
This network shows the impact of papers produced by Zhixing Yao. 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 Zhixing Yao. The network helps show where Zhixing Yao may publish in the future.
Co-authorship network of co-authors of Zhixing Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Zhixing Yao. A scholar is included among the top collaborators of Zhixing Yao 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 Zhixing Yao. Zhixing Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | 13 | |
| 4 | 29 | |
| 5 | 17 | |
| 6 | 64 | |
| 7 | CDK4 is an important target for hepatocellular cancer with inactivation of TGF-beta signaling through Smad and ELF | 2 |
| 8 | Telomerase reverse transcriptase regulation by TGF-β signaling through adaptor ELF and Smad3 that is independent of c-Myc. | 1 |
| 9 | 14 | |
| 10 | 240 | |
| 11 | 43 | |
| 12 | 198 | |
| 13 | 194 | |
| 14 | 84 | |
| 15 | 45 | |
| 16 | 39 | |
| 17 | 87 | |
| 18 | 266 | |
| 19 | 141 | |
| 20 | 117 |
About Zhixing Yao
Zhixing Yao is a scholar working on Complementary and alternative medicine, Cellular and Molecular Neuroscience and Oncology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Epigenetics and DNA Methylation (5 papers) and Cholesterol and Lipid Metabolism (5 papers). The work is most often cited by research in Complementary and alternative medicine (213 citations), Biological Psychiatry (62 citations) and Neurology (177 citations). Zhixing Yao has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Vassilios Papadopoulos, Katy Drieu, Stéphane Bastianetto, Rémi Quirion, Martine Culty, Hua Li, Zeqiu Han, Christoforos Giatzakis, Jean‐Claude Robert and Lopa Mishra. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.
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.