Xiaofei Zhang
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Plant Science
- Cancer Research
- Artificial Intelligence top 10%
- Co-authors
- Jinze LiuArne H. SmitsMichiel VermeulenMatthew MakowskiHuib OvaaPascal W.T.C. JansenQiong HanYi Zhang
- Topics
- RNA modifications and cancer (7 papers)Neuroscience and Neuropharmacology Research (6 papers)Genomics and Phylogenetic Studies (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaofei Zhang
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 631
- Cardiology and Cardiovascular Medicine 133
- Plant Science 116
- Cancer Research 109
- Artificial Intelligence 99
Countries citing papers authored by Xiaofei Zhang
This map shows the geographic impact of Xiaofei 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 Xiaofei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Zhang more than expected).
Fields of papers citing papers by Xiaofei Zhang
This network shows the impact of papers produced by Xiaofei 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 Xiaofei Zhang. The network helps show where Xiaofei Zhang may publish in the future.
Co-authorship network of co-authors of Xiaofei Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Zhang. A scholar is included among the top collaborators of Xiaofei 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 Xiaofei Zhang. Xiaofei 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 | 0 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 44 | |
| 7 | 6 | |
| 8 | Ultrasound-Assisted Extraction of Total Saponins from Aralia taibaiensis: Process Optimization, Phytochemical Characterization, and Mechanism of α-Glucosidase Inhibition | 17 |
| 9 | 11 | |
| 10 | 25 | |
| 11 | 17 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 26 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 25 | |
| 20 | [Constructions of Gcn5 shRNAs interfere the histone acetylation modification with stem cell differentiation]. | 2 |
About Xiaofei Zhang
Xiaofei Zhang is a scholar working on Structural Biology, Molecular Biology and Cancer Research, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Molecular Biology (631 citations), Cancer Research (109 citations) and Cardiology and Cardiovascular Medicine (133 citations). Xiaofei Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jinze Liu, Arne H. Smits, Michiel Vermeulen, Matthew Makowski, Huib Ovaa, Pascal W.T.C. Jansen, Qiong Han, Yi Zhang, Nathan Jacobs and Jinze Liu. Their work appears in journals such as Nature Communications, Nature Neuroscience and Molecular Cell.
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.