Chien‐Ping Ko
Impact in
- Genetics top 2%
- Neurogenetic and Muscular Disorders Research
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Ion channel regulation and function 11
- RNA modifications and cancer 10
- RNA Research and Splicing 9
- Genetics 18
- Neurogenetic and Muscular Disorders Research 17
- Co-authors
- Zhihua Feng (15 shared papers)Karen Ling (6 shared papers)Richard Robitaille (2 shared papers)Samir Koirala (3 shared papers)Ming-Yi Lin (1 shared paper)Brian Zingg (1 shared paper)H. Burton (1 shared paper)Chi Wai Lee (1 shared paper)
- Journals
- Journal of Neurocytology (5 papers)Journal of Neuroscience (3 papers)Human Molecular Genetics (3 papers)Molecular Therapy (2 papers)The Journal of Physiology (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Chien‐Ping Ko
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 70
- Genetics 598
- Developmental Neuroscience 162
- Cellular and Molecular Neuroscience 579
- Neurology 231
- Molecular Biology 950
Countries citing papers authored by Chien‐Ping Ko
This map shows the geographic impact of Chien‐Ping Ko'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‐Ping Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Ping Ko more than expected).
Fields of papers citing papers by Chien‐Ping Ko
This network shows the impact of papers produced by Chien‐Ping Ko. 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‐Ping Ko. The network helps show where Chien‐Ping Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Chien‐Ping Ko, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 166 | |
| 2 | 2008 | 114 | |
| 3 | 2003 | 104 | |
| 4 | 2011 | 100 | |
| 5 | 2015 | 86 | |
| 6 | 2020 | 66 | |
| 7 | 1987 | 59 | |
| 8 | 2008 | 57 | |
| 9 | 2016 | 48 | |
| 10 | 1981 | 48 | |
| 11 | 1976 | 45 | |
| 12 | 2003 | 43 | |
| 13 | 2012 | 41 | |
| 14 | 2000 | 38 | |
| 15 | 1998 | 35 | |
| 16 | 2016 | 34 | |
| 17 | 2013 | 34 | |
| 18 | 2016 | 31 | |
| 19 | 2012 | 30 | |
| 20 | 2013 | 29 |
About Chien‐Ping Ko
Chien‐Ping Ko is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cell Biology and Surgery, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (17 papers), Ion channel regulation and function (11 papers), RNA modifications and cancer (10 papers), Nerve injury and regeneration (9 papers), RNA Research and Splicing (9 papers), Cellular transport and secretion (8 papers), Neuroscience and Neural Engineering (6 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Genetics (598 citations), Developmental Neuroscience (162 citations), Cellular and Molecular Neuroscience (579 citations), Neurology (231 citations) and Molecular Biology (950 citations). Chien‐Ping Ko has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Zhihua Feng, Karen Ling, Richard Robitaille, Samir Koirala, Ming-Yi Lin, Brian Zingg, H. Burton, Chi Wai Lee, Jiefei Yang and Zhengshan Dai. Their work appears in journals such as Journal of Neurocytology, Journal of Neuroscience, Human Molecular Genetics, Molecular Therapy and The Journal of Physiology.
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.