Xiaobai Zhang
- Co-authors
- Cizhong JiangXiaofeng SongHuinan WangLiang GuHuanping ZhangWeisheng ZhengXiaolong ChenYanhong Zhao
- Topics
- CRISPR and Genetic Engineering (6 papers)Genomics and Chromatin Dynamics (6 papers)Pluripotent Stem Cells Research (6 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaobai Zhang
42 papers receiving 848 citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 582
- Cancer Research 142
- Pulmonary and Respiratory Medicine 127
- Epidemiology 64
- Genetics 63
Countries citing papers authored by Xiaobai Zhang
This map shows the geographic impact of Xiaobai 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 Xiaobai Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobai Zhang more than expected).
Fields of papers citing papers by Xiaobai Zhang
This network shows the impact of papers produced by Xiaobai 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 Xiaobai Zhang. The network helps show where Xiaobai Zhang may publish in the future.
Co-authorship network of co-authors of Xiaobai Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobai Zhang. A scholar is included among the top collaborators of Xiaobai 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 Xiaobai Zhang. Xiaobai 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 | 3 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 62 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 29 | |
| 9 | Value Relevance of Historical Information and Forecast Information in China: Empirical Evidence Based on the Ohlson and Feltham-Ohlson Models | 3 |
| 10 | 16 | |
| 11 | 67 | |
| 12 | 19 | |
| 13 | 9 | |
| 14 | 26 | |
| 15 | 1 | |
| 16 | Effect of G3909A mutation in pituitary adenylate cyclase-activating polypeptide gene (PACAP) on the partial growth traits in Qinchuan cattle. | 1 |
| 17 | Solution of Active Power Dispatch and Control Scheme for Interconnected Power Grids with Large-scale Wind Power Integration | 18 |
| 18 | Correlation of C184T Mutation in THRSP Gene with Meat Traits in the Qinchuan Cattle | 3 |
| 19 | 13 | |
| 20 | 51 |
About Xiaobai Zhang
Xiaobai Zhang is a scholar working on Molecular Biology, Cancer Research and Transplantation, having authored 44 papers that have together received 858 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (6 papers) and Pluripotent Stem Cells Research (6 papers). The work is most often cited by research in Cancer Research (142 citations), Molecular Biology (582 citations) and Aging (11 citations). Xiaobai Zhang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Cizhong Jiang, Xiaofeng Song, Huinan Wang, Liang Gu, Huanping Zhang, Weisheng Zheng, Xiaolong Chen, Yanhong Zhao, Shaorong Gao and Xiaochen Kou. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.
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.