Saixia Zhang
- Molecular Biology
- Complementary and alternative medicine top 5%
- Cancer Research
- Neurology top 10%
- Immunology
- Topics
- Mesenchymal stem cell research (4 papers)MicroRNA in disease regulation (4 papers)Advanced Glycation End Products research (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Saixia Zhang
25 papers receiving 546 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 246
- Complementary and alternative medicine 98
- Cancer Research 95
- Neurology 65
- Immunology 63
Countries citing papers authored by Saixia Zhang
This map shows the geographic impact of Saixia Zhang'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 Saixia Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saixia Zhang more than expected).
Fields of papers citing papers by Saixia Zhang
This network shows the impact of papers produced by Saixia Zhang. 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 Saixia Zhang. The network helps show where Saixia Zhang may publish in the future.
Co-authorship network of co-authors of Saixia Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Saixia Zhang. A scholar is included among the top collaborators of Saixia Zhang 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 Saixia Zhang. Saixia Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 67 | |
| 3 | 24 | |
| 4 | 23 | |
| 5 | 31 | |
| 6 | 18 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | MiR-351 negatively regulates osteoblast differentiation of MSCs induced by (+)-cholesten-3-one through targeting VDR. | 8 |
| 11 | 21 | |
| 12 | 25 | |
| 13 | 46 | |
| 14 | 37 | |
| 15 | 42 | |
| 16 | 44 | |
| 17 | Promoting effects of seropharmacological plastrum testudinis on the expression of bone morphogenetic protein 4 of rat mesenchymal stem cell in vitro | 1 |
| 18 | Effects of Serum Containing Carapax et Plastrum Testudinis on In - Vitro Proliferation of Rat Mesenchymal Stem Cells | 2 |
| 19 | Exploring the Mechanism of Baicalin in Influencing Cells Infected with Chlamydia Pneumoniae by Observing Its Effect on Receptors | 3 |
| 20 | [Effect of tortoise plastron on cell differential of neurons after mesenchymal stem cell transplantation in cerebral ischemia in rats]. | 4 |
About Saixia Zhang
Saixia Zhang is a scholar working on Neurology, Clinical Biochemistry and Aging, having authored 25 papers that have together received 549 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), MicroRNA in disease regulation (4 papers) and Advanced Glycation End Products research (4 papers). The work is most often cited by research in Complementary and alternative medicine (98 citations), Neurology (65 citations) and Pharmacology (58 citations). Saixia Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dongfeng Chen, Rudong Deng, Jianhong Zhou, Xiao‐Ping Lai, Jianhong Zhou, Yiwei Li, Aijun Liu, Shanyu Ye, Donghui Liu and Fengxue Zhang. Their work appears in journals such as BMC Genomics, Journal of Alzheimer s Disease and International Immunopharmacology.
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.