Xing Wei
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Cardiology and Cardiovascular Medicine
- Pulmonary and Respiratory Medicine
- Co-authors
- Xianzhong XiaoYansheng FengQi LuoHonglin ZhuShuxin QuMin LiuGuangwen ChenChi Zhang
- Topics
- Cancer-related molecular mechanisms research (5 papers)Distributed and Parallel Computing Systems (4 papers)RNA modifications and cancer (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xing Wei
63 papers receiving 968 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 493
- Cancer Research 174
- Oncology 121
- Cardiology and Cardiovascular Medicine 116
- Pulmonary and Respiratory Medicine 103
Countries citing papers authored by Xing Wei
This map shows the geographic impact of Xing Wei'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 Xing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Wei more than expected).
Fields of papers citing papers by Xing Wei
This network shows the impact of papers produced by Xing Wei. 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 Xing Wei. The network helps show where Xing Wei may publish in the future.
Co-authorship network of co-authors of Xing Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Xing Wei. A scholar is included among the top collaborators of Xing Wei 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 Xing Wei. Xing Wei 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 | A comparative study on sustainable development of online education platforms at home and abroad since the twenty-first century based on big data analysisbreakdown → | 15 |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 48 | |
| 11 | 11 | |
| 12 | 18 | |
| 13 | 27 | |
| 14 | [Analysis of population genetic structure of Anopheles sinensis based on mitochondrial DNA cytochrome oxidase subunit I gene fragment]. | 3 |
| 15 | 19 | |
| 16 | 9 | |
| 17 | 184 | |
| 18 | 15 | |
| 19 | 20 | |
| 20 | 38 |
About Xing Wei
Xing Wei is a scholar working on Chemical Health and Safety, Molecular Biology and Information Systems and Management, having authored 67 papers that have together received 979 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Distributed and Parallel Computing Systems (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Geriatrics and Gerontology (90 citations), Cancer Research (174 citations) and Molecular Biology (493 citations). Xing Wei has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xianzhong Xiao, Yansheng Feng, Qi Luo, Honglin Zhu, Shuxin Qu, Min Liu, Guangwen Chen, Chi Zhang, Hua Hu and Ting Fan. Their work appears in journals such as Nature Communications, Cancer Research and Coordination Chemistry Reviews.
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.