Xiangyu Zhai
- Co-authors
- Bin JinHuaxin ZhouZhijia XiaGang DuHao ZhangTong XiaZhengchen JiangWei Wang
- Topics
- Liver Disease Diagnosis and Treatment (6 papers)Cancer-related molecular mechanisms research (5 papers)MicroRNA in disease regulation (4 papers)
- Cited by
- Cancer ResearchHepatologyImmunology
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Xiangyu Zhai
23 papers receiving 516 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Biology 253
- Cancer Research 147
- Oncology 120
- Immunology 111
- Pulmonary and Respiratory Medicine 84
Countries citing papers authored by Xiangyu Zhai
This map shows the geographic impact of Xiangyu Zhai'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 Xiangyu Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangyu Zhai more than expected).
Fields of papers citing papers by Xiangyu Zhai
This network shows the impact of papers produced by Xiangyu Zhai. 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 Xiangyu Zhai. The network helps show where Xiangyu Zhai may publish in the future.
Co-authorship network of co-authors of Xiangyu Zhai
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyu Zhai. A scholar is included among the top collaborators of Xiangyu Zhai 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 Xiangyu Zhai. Xiangyu Zhai 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | KIF18A inactivates hepatic stellate cells and alleviates liver fibrosis through the TTC3/Akt/mTOR pathwaybreakdown → | 61 |
| 6 | 19 | |
| 7 | Oxytocin alleviates liver fibrosis via hepatic macrophagesbreakdown → | 46 |
| 8 | 9 | |
| 9 | 40 | |
| 10 | 7 | |
| 11 | 58 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 40 | |
| 15 | 21 | |
| 16 | 16 | |
| 17 | 10 | |
| 18 | Bevacizumab in Combination with Pemetrexed and Platinum Significantly Improved the Clinical Outcome of Patients with Advanced Adenocarcinoma NSCLC and Brain Metastases | 1 |
| 19 | 16 | |
| 20 | 20 |
About Xiangyu Zhai
Xiangyu Zhai is a scholar working on Hepatology, Cancer Research and Endocrine and Autonomic Systems, having authored 28 papers that have together received 525 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (147 citations), Hepatology (44 citations) and Immunology (111 citations). Xiangyu Zhai has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Bin Jin, Huaxin Zhou, Zhijia Xia, Gang Du, Hao Zhang, Tong Xia, Zhengchen Jiang, Wei Wang, Dandan Dou and Zhipeng Li. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.
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.