Chien‐Chih Ke
- Molecular Biology
- Cancer Research
- Neurology top 10%
- Oncology
- Genetics top 10%
- Co-authors
- Ren-Shyan LiuYi‐An ChenBang‐Hung YangChi‐Wei ChangYonghua ZhaoBowen LiuOscar K. LeeJennifer Hui‐Chun Ho
- Topics
- Extracellular vesicles in disease (7 papers)MicroRNA in disease regulation (6 papers)Mesenchymal stem cell research (6 papers)
In The Last Decade
Chien‐Chih Ke
47 papers receiving 652 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 369
- Cancer Research 158
- Neurology 102
- Oncology 89
- Genetics 80
Countries citing papers authored by Chien‐Chih Ke
This map shows the geographic impact of Chien‐Chih Ke'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 Chien‐Chih Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Chih Ke more than expected).
Fields of papers citing papers by Chien‐Chih Ke
This network shows the impact of papers produced by Chien‐Chih Ke. 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 Chien‐Chih Ke. The network helps show where Chien‐Chih Ke may publish in the future.
Co-authorship network of co-authors of Chien‐Chih Ke
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Chih Ke. A scholar is included among the top collaborators of Chien‐Chih Ke 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 Chien‐Chih Ke. Chien‐Chih Ke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | Multiplexed Molecular Imaging Strategy Integrated with RNA Sequencing in the Assessment of the Therapeutic Effect of Wharton’s Jelly Mesenchymal Stem Cell-Derived Extracellular Vesicles for Osteoporosis | 12 |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 38 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Specific activation of sodium iodide symporter gene in hepatoma using alpha-fetoprotein promoter combined with hepatitis B virus enhancer (EIIAPA). | 5 |
| 20 | Radioiodide imaging and treatment of ARO cancer xenograft in a mouse model after expression of human sodium iodide symporter. | 14 |
About Chien‐Chih Ke
Chien‐Chih Ke is a scholar working on Cancer Research, Neurology and Genetics, having authored 48 papers that have together received 654 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (6 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Neurology (102 citations), Cancer Research (158 citations) and Developmental Neuroscience (34 citations). Chien‐Chih Ke has collaborated with scholars based in Taiwan, Macao and China. Frequent co-authors include Ren-Shyan Liu, Yi‐An Chen, Bang‐Hung Yang, Chi‐Wei Chang, Yonghua Zhao, Bowen Liu, Oscar K. Lee, Jennifer Hui‐Chun Ho, Ya‐Ju Hsieh and Cheng Luo. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.