Xuefei Han
- Electrical and Electronic Engineering
- Molecular Biology
- Dermatology top 10%
- Cancer Research
- Rehabilitation top 10%
- Co-authors
- Daniel A. LadinZizheng HouDavid FivensonGhassan M. SaedYong‐Wei ZhangZhi Gen YuMingchang ZhangWeidong Xu
- Topics
- Cancer, Hypoxia, and Metabolism (4 papers)Virus-based gene therapy research (3 papers)Cancer-related gene regulation (3 papers)
- Cited by
- DermatologyRehabilitationGenetics
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xuefei Han
22 papers receiving 328 citations
Peers
Comparison fields: 5 of 73
- Electrical and Electronic Engineering 110
- Molecular Biology 88
- Dermatology 61
- Cancer Research 37
- Rehabilitation 36
Countries citing papers authored by Xuefei Han
This map shows the geographic impact of Xuefei Han'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 Xuefei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuefei Han more than expected).
Fields of papers citing papers by Xuefei Han
This network shows the impact of papers produced by Xuefei Han. 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 Xuefei Han. The network helps show where Xuefei Han may publish in the future.
Co-authorship network of co-authors of Xuefei Han
This figure shows the co-authorship network connecting the top 25 collaborators of Xuefei Han. A scholar is included among the top collaborators of Xuefei Han 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 Xuefei Han. Xuefei Han 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 | 1 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 21 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 28 | |
| 16 | 12 | |
| 17 | [Expression changes of Notch-related genes during the differentiation of human mesenchymal stem cells into neurons]. | 3 |
| 18 | Ectopic hTERT gene expression in human bone marrow mesenchymal stem cells | 3 |
| 19 | Expression of Tau protein and neuron-specific enolase after differentiation of mesenchymal stem cells into neural cells induced by EGF and bFGF | 1 |
| 20 | 79 |
About Xuefei Han
Xuefei Han is a scholar working on Biological Psychiatry, Cancer Research and Computer Graphics and Computer-Aided Design, having authored 26 papers that have together received 336 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Virus-based gene therapy research (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Dermatology (61 citations), Rehabilitation (36 citations) and Genetics (35 citations). Xuefei Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daniel A. Ladin, Zizheng Hou, David Fivenson, Ghassan M. Saed, Yong‐Wei Zhang, Zhi Gen Yu, Mingchang Zhang, Weidong Xu, Weijia Wang and Hongge Pan. Their work appears in journals such as PLoS ONE, Advanced Energy Materials and Cancer Letters.
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.