Jin‐Kun Wen
- Molecular Biology top 2%
- Cancer Research top 1%
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 5%
- Immunology top 10%
- Co-authors
- Bin ZhengMei HanTakashi OsumiTakashi HashimotoZhan YangXinhua ZhangYangxi PengXiuying Tian
- Topics
- Kruppel-like factors research (39 papers)Luminescence Properties of Advanced Materials (24 papers)Perovskite Materials and Applications (18 papers)
- Journals
- Journal of Biological ChemistryAngewandte Chemie International EditionNature Communications
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin‐Kun Wen
187 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.8k
- Cancer Research 1.2k
- Materials Chemistry 803
- Electrical and Electronic Engineering 718
- Immunology 363
Countries citing papers authored by Jin‐Kun Wen
This map shows the geographic impact of Jin‐Kun 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 Jin‐Kun Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Kun Wen more than expected).
Fields of papers citing papers by Jin‐Kun Wen
This network shows the impact of papers produced by Jin‐Kun 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 Jin‐Kun Wen. The network helps show where Jin‐Kun Wen may publish in the future.
Co-authorship network of co-authors of Jin‐Kun Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Kun Wen. A scholar is included among the top collaborators of Jin‐Kun 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 Jin‐Kun Wen. Jin‐Kun 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 | 15 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 23 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 37 | |
| 9 | 111 | |
| 10 | 21 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 13 | |
| 14 | 31 | |
| 15 | 42 | |
| 16 | FAK and ILK regulate adhesion and migration of vascular smooth muscle cells induced by osteopontin | 1 |
| 17 | Expression and regulation of vasodilative and vasoconstrictive peptides in vascular smooth muscle cells | 1 |
| 18 | Cell Localization of hhlim Gene Product and Its Effect on Cell Hypertrophy | 1 |
| 19 | Identification of hhlim Gene Regulatory Region and Study of hhlim Gene Expression Regulation | 2 |
| 20 | 10 |
About Jin‐Kun Wen
Jin‐Kun Wen is a scholar working on Cancer Research, Developmental Neuroscience and Molecular Biology, having authored 193 papers that have together received 5.1k indexed citations. Recurring topics across this work include Kruppel-like factors research (39 papers), Luminescence Properties of Advanced Materials (24 papers) and Perovskite Materials and Applications (18 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (2.8k citations) and Cellular and Molecular Neuroscience (320 citations). Jin‐Kun Wen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Zheng, Mei Han, Takashi Osumi, Takashi Hashimoto, Zhan Yang, Xinhua Zhang, Yangxi Peng, Xiuying Tian, Sui‐Bing Miao and Changyan Ji. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.
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.