Kun‐Yi Chien
Impact in
- Molecular Biology top 5%
- Ion channel regulation and function
- RNA modifications and cancer
- Extracellular vesicles in disease
- Cancer Research top 5%
Papers in
-
- Ion channel regulation and function 7
- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 5
- Oncology 12
- Peptidase Inhibition and Analysis 7
- Co-authors
- Jau‐Song Yu (31 shared papers)Yu‐Sun Chang (16 shared papers)Shin‐Ru Shih (2 shared papers)Wen‐guey Wu (7 shared papers)Chuan-Tien Hung (1 shared paper)Yu-An Kung (1 shared paper)Chih‐Ching Wu (7 shared papers)Lang‐Ming Chi (12 shared papers)
- Journals
- Journal of Proteome Research (8 papers)Journal of Proteomics (5 papers)Scientific Reports (5 papers)Journal of Biological Chemistry (4 papers)Molecular & Cellular Proteomics (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Kun‐Yi Chien
71 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.9k
- Cancer Research 369
- Spectroscopy 401
- Virology 88
- Genetics 441
Countries citing papers authored by Kun‐Yi Chien
This map shows the geographic impact of Kun‐Yi Chien'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 Kun‐Yi Chien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Yi Chien more than expected).
Fields of papers citing papers by Kun‐Yi Chien
This network shows the impact of papers produced by Kun‐Yi Chien. 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 Kun‐Yi Chien. The network helps show where Kun‐Yi Chien may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Yi Chien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 277 | |
| 2 | 2012 | 175 | |
| 3 | 2016 | 167 | |
| 4 | 2008 | 125 | |
| 5 | 2005 | 124 | |
| 6 | 2006 | 119 | |
| 7 | 2017 | 117 | |
| 8 | 2018 | 105 | |
| 9 | 2006 | 101 | |
| 10 | 1994 | 99 | |
| 11 | 2015 | 96 | |
| 12 | 2013 | 90 | |
| 13 | 2005 | 88 | |
| 14 | 2003 | 87 | |
| 15 | 2009 | 84 | |
| 16 | 2011 | 78 | |
| 17 | 2012 | 77 | |
| 18 | 1991 | 64 | |
| 19 | 2020 | 52 | |
| 20 | 2017 | 51 |
About Kun‐Yi Chien
Kun‐Yi Chien is a scholar working on Molecular Biology, Oncology, Cell Biology, Spectroscopy and Genetics, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (8 papers), Advanced Proteomics Techniques and Applications (8 papers), Ion channel regulation and function (7 papers), Peptidase Inhibition and Analysis (7 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (5 papers), Viral Infections and Immunology Research (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Cancer Research (369 citations), Spectroscopy (401 citations), Virology (88 citations) and Genetics (441 citations). Kun‐Yi Chien has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jau‐Song Yu, Yu‐Sun Chang, Shin‐Ru Shih, Wen‐guey Wu, Chuan-Tien Hung, Yu-An Kung, Chih‐Ching Wu, Lang‐Ming Chi, Kai‐Ping Chang and Ying Liang. Their work appears in journals such as Journal of Proteome Research, Journal of Proteomics, Scientific Reports, Journal of Biological Chemistry and Molecular & Cellular Proteomics.
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.