Charles E. Chapple
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Nutrition and Dietetics top 5%
- Selenium in Biological Systems
- Trace Elements in Health
Papers in
-
- Bioinformatics and Genomic Networks 5
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- Biomedical Text Mining and Ontologies 2
- Gene expression and cancer classification 1
-
- 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 (5 shared papers)E. Becker (2 shared papers)Alain Guénoche (2 shared papers)Alain Krol (3 shared papers)Lionel Spinelli (2 shared papers)
In The Last Decade
Charles E. Chapple
11 papers receiving 1.7k citations
Charles E. Chapple's Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 420
- Nutrition and Dietetics 198
- Molecular Biology 761
- Cancer Research 115
- Genetics 80
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 | VarSome: the human genomic variant search engine Hit paper breakdown → | 2018 | 1200 |
| 2 | 2011 | 103 | |
| 3 | 2005 | 95 | |
| 4 | 2015 | 78 | |
| 5 | 2008 | 61 | |
| 6 | 2008 | 58 | |
| 7 | 2009 | 38 | |
| 8 | 2013 | 35 | |
| 9 | 2009 | 33 | |
| 10 | 2015 | 12 | |
| 11 | 2015 | 6 |
About Charles E. Chapple
Charles E. Chapple is a scholar working on Molecular Biology, Nutrition and Dietetics, Statistical and Nonlinear Physics, Ecology and Health, Toxicology and Mutagenesis, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Selenium in Biological Systems (3 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Genomics and Rare Diseases (1 paper), Gene expression and cancer classification (1 paper) and Mercury impact and mitigation studies (1 paper). The work is most often cited by research in Genetics (420 citations), Nutrition and Dietetics (198 citations), Molecular Biology (761 citations), Cancer Research (115 citations) and Genetics (80 citations). Charles E. Chapple has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include Richard J. Meyer, Andreas Massouras, Roderic Guigó, Christine Brun, E. Becker, Alain Guénoche, Alain Krol, Lionel Spinelli, Joël Doré and Chaysavanh Manichanh. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Frontiers in Genetics, Nature Communications and Proceedings of the National Academy of Sciences.
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.