Jie Wen
- Infectious Diseases top 5%
- Molecular Biology
- Animal Science and Zoology top 5%
- Global and Planetary Change
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Weijun ChenHuanming YangLing YangLajiao ChenHui LiuZuoguang WangMohd Yawar Ali KhanHongchang Hu
- Topics
- SARS-CoV-2 and COVID-19 Research (11 papers)Animal Virus Infections Studies (6 papers)Viral gastroenteritis research and epidemiology (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of HydrologyEmerging infectious diseases
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Jie Wen
36 papers receiving 737 citations
Peers
Comparison fields: 5 of 115
- Infectious Diseases 291
- Molecular Biology 237
- Animal Science and Zoology 107
- Global and Planetary Change 70
- Radiology, Nuclear Medicine and Imaging 54
Countries citing papers authored by Jie Wen
This map shows the geographic impact of Jie Wen'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 Jie Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Wen more than expected).
Fields of papers citing papers by Jie Wen
This network shows the impact of papers produced by Jie Wen. 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 Jie Wen. The network helps show where Jie Wen may publish in the future.
Co-authorship network of co-authors of Jie Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Wen. A scholar is included among the top collaborators of Jie Wen 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 Jie Wen. Jie Wen 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 | 2 | |
| 3 | 41 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 66 | |
| 11 | 50 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 17 | |
| 15 | 20 | |
| 16 | [Hyperplasia suppressor gene expression in vascular smooth muscle cells derived from normotensive and hypertensive patients underwent bypass surgery]. | 2 |
| 17 | 108 | |
| 18 | 4 | |
| 19 | 56 | |
| 20 | 15 |
About Jie Wen
Jie Wen is a scholar working on Infectious Diseases, Animal Science and Zoology and Modeling and Simulation, having authored 38 papers that have together received 749 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Animal Virus Infections Studies (6 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Infectious Diseases (291 citations), Animal Science and Zoology (107 citations) and Biological Psychiatry (16 citations). Jie Wen has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Weijun Chen, Huanming Yang, Ling Yang, Lajiao Chen, Hui Liu, Zuoguang Wang, Mohd Yawar Ali Khan, Hongchang Hu, Fuqiang Tian and Feng Mu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Hydrology and Emerging infectious diseases.
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.