C. D. Skuce
Impact in
- Cell Biology top 0.5%
- Zebrafish Biomedical Research Applications
- Genetics top 1%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 6
- Genomic variations and chromosomal abnormalities 5
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
-
- Chromosomal and Genetic Variations 7
- Co-authors
- Yali Xue (1 shared paper)Harold Swerdlow (1 shared paper)Yali Zhao (1 shared paper)Nigel P. Carter (1 shared paper)Qiuju Wang (1 shared paper)Huanming Yang (1 shared paper)Ruth Taylor (1 shared paper)Quan Long (1 shared paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
C. D. Skuce
10 papers receiving 7.0k citations
C. D. Skuce's Hit Papers
Peers
Comparison fields: 5 of 162
- Cell Biology 1.9k
- Genetics 1.8k
- Molecular Biology 3.6k
- Immunology 823
- Developmental Neuroscience 134
Countries citing papers authored by C. D. Skuce
This map shows the geographic impact of C. D. Skuce'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. D. Skuce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. D. Skuce more than expected).
Fields of papers citing papers by C. D. Skuce
This network shows the impact of papers produced by C. D. Skuce. 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. D. Skuce. The network helps show where C. D. Skuce may publish in the future.
Co-authors
The 14 scholars most cited alongside C. D. Skuce, 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 | The zebrafish reference genome sequence and its relationship to the human genome Hit paper breakdown → | 2013 | 3980 |
| 2 | The DNA sequence of the human X chromosome Hit paper breakdown → | 2005 | 857 |
| 3 | The DNA sequence of human chromosome 22 Hit paper breakdown → | 1999 | 846 |
| 4 | 2004 | 531 | |
| 5 | 2001 | 285 | |
| 6 | 2003 | 239 | |
| 7 | 2006 | 193 | |
| 8 | 2009 | 157 | |
| 9 | 2004 | 71 | |
| 10 | 2004 | 64 |
About C. D. Skuce
C. D. Skuce is a scholar working on Genetics, Plant Science, Molecular Biology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 10 papers that have together received 7.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Chromosomal and Genetic Variations (7 papers), Genomic variations and chromosomal abnormalities (5 papers), RNA and protein synthesis mechanisms (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), RNA Research and Splicing (2 papers), Genomics and Phylogenetic Studies (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cell Biology (1.9k citations), Genetics (1.8k citations), Molecular Biology (3.6k citations), Immunology (823 citations) and Developmental Neuroscience (134 citations). C. D. Skuce has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Yali Xue, Harold Swerdlow, Yali Zhao, Nigel P. Carter, Qiuju Wang, Huanming Yang, Ruth Taylor, Quan Long, Bee Ling Ng and Zahra Abdellah. Their work appears in journals such as Nature and Current Biology.
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.