Gee Y. Ching
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 10%
- Skin and Cellular Biology Research
- Cellular Mechanics and Interactions
Papers in
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- RNA Research and Splicing 4
- RNA regulation and disease 4
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 1
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- Skin and Cellular Biology Research 2
- Co-authors
- Ronald K.H. Liem (8 shared papers)Roberto E. Flores (1 shared paper)C. L. Chien (1 shared paper)Masayori Inouye (4 shared papers)Vishwanie Budhram‐Mahadeo (1 shared paper)Karen A. Lillycrop (1 shared paper)Peter J. Morris (1 shared paper)David S. Latchman (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Cell Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Gee Y. Ching
14 papers receiving 467 citations
Peers
Comparison fields: 5 of 71
- Developmental Neuroscience 47
- Cell Biology 174
- Cellular and Molecular Neuroscience 125
- Neurology 82
- Molecular Biology 287
Countries citing papers authored by Gee Y. Ching
This map shows the geographic impact of Gee Y. Ching'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 Gee Y. Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gee Y. Ching more than expected).
Fields of papers citing papers by Gee Y. Ching
This network shows the impact of papers produced by Gee Y. Ching. 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 Gee Y. Ching. The network helps show where Gee Y. Ching may publish in the future.
Co-authors
The 15 scholars most cited alongside Gee Y. Ching, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 115 | |
| 2 | 1999 | 79 | |
| 3 | 1995 | 63 | |
| 4 | 1991 | 58 | |
| 5 | 1998 | 39 | |
| 6 | 1999 | 22 | |
| 7 | 1998 | 22 | |
| 8 | 1983 | 21 | |
| 9 | 1988 | 12 | |
| 10 | 2009 | 11 | |
| 11 | 1990 | 11 | |
| 12 | 1985 | 11 | |
| 13 | 1982 | 5 | |
| 14 | 1986 | 5 |
About Gee Y. Ching
Gee Y. Ching is a scholar working on Molecular Biology, Cell Biology, Genetics, Genetics and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 474 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (2 papers), Skin and Cellular Biology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (47 citations), Cell Biology (174 citations), Cellular and Molecular Neuroscience (125 citations), Neurology (82 citations) and Molecular Biology (287 citations). Gee Y. Ching has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Ronald K.H. Liem, Roberto E. Flores, C. L. Chien, Masayori Inouye, Vishwanie Budhram‐Mahadeo, Karen A. Lillycrop, Peter J. Morris, David S. Latchman, Thomas Theil and Tarik Möröy. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science, Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The EMBO Journal.
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.