Xiao-Fei Zhang
- Molecular Biology top 5%
- Cancer Research top 5%
- Oncology
- Pulmonary and Respiratory Medicine
- Electrical and Electronic Engineering
- Co-authors
- Le Ou-YangHong YanWolfgang HuberMichiel VermeulenHuib OvaaArne H. SmitsDao‐Qing DaiAfshin S. Daryoush
- Topics
- Bioinformatics and Genomic Networks (36 papers)Gene expression and cancer classification (28 papers)Gene Regulatory Network Analysis (15 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiao-Fei Zhang
109 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.6k
- Cancer Research 565
- Oncology 211
- Pulmonary and Respiratory Medicine 195
- Electrical and Electronic Engineering 192
Countries citing papers authored by Xiao-Fei Zhang
This map shows the geographic impact of Xiao-Fei 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 Xiao-Fei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Fei Zhang more than expected).
Fields of papers citing papers by Xiao-Fei Zhang
This network shows the impact of papers produced by Xiao-Fei 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 Xiao-Fei Zhang. The network helps show where Xiao-Fei Zhang may publish in the future.
Co-authorship network of co-authors of Xiao-Fei Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Fei Zhang. A scholar is included among the top collaborators of Xiao-Fei 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 Xiao-Fei Zhang. Xiao-Fei 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 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | Key Genes and Signaling Pathways Contribute to the Pathogensis of Diabetic Nephropathy. | 6 |
| 7 | 12 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | Proteome-wide identification of ubiquitin interactions using UbIA-MSbreakdown → | 437 |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 10 | |
| 14 | 12 | |
| 15 | 12 | |
| 16 | 35 | |
| 17 | 19 | |
| 18 | 4 | |
| 19 | 34 | |
| 20 | 96 |
About Xiao-Fei Zhang
Xiao-Fei Zhang is a scholar working on Computational Mathematics, Geometry and Topology and Applied Mathematics, having authored 110 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (36 papers), Gene expression and cancer classification (28 papers) and Gene Regulatory Network Analysis (15 papers). The work is most often cited by research in Cancer Research (565 citations), Molecular Biology (1.6k citations) and Computational Theory and Mathematics (168 citations). Xiao-Fei Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Le Ou-Yang, Hong Yan, Wolfgang Huber, Michiel Vermeulen, Huib Ovaa, Arne H. Smits, Dao‐Qing Dai, Afshin S. Daryoush, Lun–Xiu Qin and Hu‐Liang Jia. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.