C-ting Wu
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Developmental Biology and Gene Regulation
Papers in
-
- Genomics and Chromatin Dynamics 5
- CRISPR and Genetic Engineering 5
- Cancer therapeutics and mechanisms 2
-
- Chromosomal and Genetic Variations 11
- Plant Molecular Biology Research 2
- Co-authors
- Jack R Bateman (5 shared papers)Anne M. Lee (2 shared papers)James Morris (3 shared papers)Adnan Derti (2 shared papers)George M. Church (1 shared paper)Frederick P. Roth (1 shared paper)Jelena Erceg (1 shared paper)Eric F. Joyce (1 shared paper)
- Journals
- Genetics (8 papers)Nature Genetics (2 papers)Current Opinion in Genetics & Development (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
C-ting Wu
13 papers receiving 770 citations
Peers
Comparison fields: 5 of 68
- Aging 25
- Molecular Biology 651
- Genetics 226
- Plant Science 274
- Cellular and Molecular Neuroscience 91
Countries citing papers authored by C-ting Wu
This map shows the geographic impact of C-ting Wu'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 C-ting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C-ting Wu more than expected).
Fields of papers citing papers by C-ting Wu
This network shows the impact of papers produced by C-ting Wu. 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 C-ting Wu. The network helps show where C-ting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside C-ting Wu, 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 | 2006 | 263 | |
| 2 | 1999 | 114 | |
| 3 | 2006 | 84 | |
| 4 | 2016 | 53 | |
| 5 | 2007 | 50 | |
| 6 | 2009 | 48 | |
| 7 | 2016 | 42 | |
| 8 | 2006 | 30 | |
| 9 | 2008 | 28 | |
| 10 | 2008 | 24 | |
| 11 | 2008 | 19 | |
| 12 | 2009 | 13 | |
| 13 | 2012 | 9 |
About C-ting Wu
C-ting Wu is a scholar working on Molecular Biology, Plant Science, Genetics, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 13 papers that have together received 777 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (11 papers), Genomics and Chromatin Dynamics (5 papers), CRISPR and Genetic Engineering (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Animal Genetics and Reproduction (2 papers), Cancer therapeutics and mechanisms (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Aging (25 citations), Molecular Biology (651 citations), Genetics (226 citations), Plant Science (274 citations) and Cellular and Molecular Neuroscience (91 citations). C-ting Wu has collaborated with scholars based in United States and France. Frequent co-authors include Jack R Bateman, Anne M. Lee, James Morris, Adnan Derti, George M. Church, Frederick P. Roth, Jelena Erceg, Eric F. Joyce, Benjamin R. Williams and Joel N. Hirschhorn. Their work appears in journals such as Genetics, Nature Genetics, Current Opinion in Genetics & Development and Nature Methods.
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.