Charles E. Chapple
Impact in
- Genetics top 2%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
- Genetic diversity and population structure
- Genomics and Rare Diseases
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
Papers in
-
- Bioinformatics and Genomic Networks 6
- Machine Learning in Bioinformatics 3
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 2
- Protein Structure and Dynamics 2
-
- Selenium in Biological Systems 3
- Co-authors
- Richard J. Meyer (1 shared paper)Andreas Massouras (1 shared paper)Roderic Guigó (5 shared papers)Christine Brun (6 shared papers)E. Becker (2 shared papers)Alain Krol (3 shared papers)Alain Guénoche (2 shared papers)Lionel Spinelli (2 shared papers)
- Journals
- Bioinformatics (3 papers)Nucleic Acids Research (2 papers)Oncotarget (1 paper)Science (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- FranceSpainSwitzerland
In The Last Decade
Charles E. Chapple
14 papers receiving 4.5k citations
Charles E. Chapple's Hit Papers
Peers
Comparison fields: 5 of 136
- Genetics 1.5k
- Molecular Biology 2.1k
- Cancer Research 323
- Aquatic Science 159
- Immunology 409
Countries citing papers authored by Charles E. Chapple
This map shows the geographic impact of Charles E. Chapple'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 Charles E. Chapple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles E. Chapple more than expected).
Fields of papers citing papers by Charles E. Chapple
This network shows the impact of papers produced by Charles E. Chapple. 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 Charles E. Chapple. The network helps show where Charles E. Chapple may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles E. Chapple, 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 | Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype Hit paper breakdown → | 2004 | 1610 |
| 2 | VarSome: the human genomic variant search engine Hit paper breakdown → | 2018 | 1416 |
| 3 | The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution Hit paper breakdown → | 2009 | 973 |
| 4 | 2011 | 103 | |
| 5 | 2005 | 96 | |
| 6 | 2015 | 85 | |
| 7 | 2008 | 63 | |
| 8 | 2008 | 58 | |
| 9 | 2009 | 38 | |
| 10 | 2013 | 35 | |
| 11 | 2009 | 33 | |
| 12 | 2015 | 13 | |
| 13 | 2015 | 11 | |
| 14 | 2015 | 7 |
About Charles E. Chapple
Charles E. Chapple is a scholar working on Molecular Biology, Nutrition and Dietetics, Genetics, Statistical and Nonlinear Physics and Cancer Research, having authored 14 papers that have together received 4.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers), Selenium in Biological Systems (3 papers), Biomedical Text Mining and Ontologies (2 papers), Protein Structure and Dynamics (2 papers), Animal Genetics and Reproduction (1 paper) and Mercury impact and mitigation studies (1 paper). The work is most often cited by research in Genetics (1.5k citations), Molecular Biology (2.1k citations), Cancer Research (323 citations), Aquatic Science (159 citations) and Immunology (409 citations). Charles E. Chapple has collaborated with scholars based in France, Spain and Switzerland. Frequent co-authors include Richard J. Meyer, Andreas Massouras, Roderic Guigó, Christine Brun, E. Becker, Alain Krol, Alain Guénoche, Lionel Spinelli, Chaysavanh Manichanh and Karine Gloux. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Oncotarget, Science and Frontiers in Genetics.
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.