Chris Bizon
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Health Information Management top 10%
Papers in
- Genetics 16
- Genomics and Rare Diseases 9
- Genetic Associations and Epidemiology 6
- Genomic variations and chromosomal abnormalities 4
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- Biomedical Text Mining and Ontologies 7
- Co-authors
- Kirk C. Wilhelmsen (14 shared papers)Jonathan S. Berg (7 shared papers)James P. Evans (5 shared papers)Charles Schmitt (6 shared papers)Ian R. Gizer (9 shared papers)Cindy L. Ehlers (7 shared papers)Alexander Tropsha (12 shared papers)Kristy Lee (2 shared papers)
- Journals
- Bioinformatics (4 papers)Genetics in Medicine (3 papers)BMC Bioinformatics (2 papers)Journal of Chemical Information and Modeling (2 papers)Clinical and Translational Science (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Chris Bizon
37 papers receiving 795 citations
Peers
Comparison fields: 5 of 116
- Genetics 318
- Health Information Management 23
- Cancer Research 69
- Pediatrics, Perinatology and Child Health 85
- Health Informatics 6
Countries citing papers authored by Chris Bizon
This map shows the geographic impact of Chris Bizon'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 Chris Bizon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Bizon more than expected).
Fields of papers citing papers by Chris Bizon
This network shows the impact of papers produced by Chris Bizon. 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 Chris Bizon. The network helps show where Chris Bizon may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Bizon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 112 | |
| 2 | 2012 | 103 | |
| 3 | 2018 | 50 | |
| 4 | 2011 | 48 | |
| 5 | 2017 | 46 | |
| 6 | 2011 | 43 | |
| 7 | 2019 | 40 | |
| 8 | 2019 | 36 | |
| 9 | 2019 | 32 | |
| 10 | 2014 | 28 | |
| 11 | 2018 | 26 | |
| 12 | 2015 | 23 | |
| 13 | 2022 | 23 | |
| 14 | 2017 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2019 | 17 | |
| 17 | 2021 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2012 | 14 | |
| 20 | 2014 | 14 |
About Chris Bizon
Chris Bizon is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 39 papers that have together received 814 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), Biomedical Text Mining and Ontologies (7 papers), Genetic Associations and Epidemiology (6 papers), Genomic variations and chromosomal abnormalities (4 papers), Computational Drug Discovery Methods (3 papers), Electronic Health Records Systems (3 papers), Alcohol Consumption and Health Effects (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (318 citations), Health Information Management (23 citations), Cancer Research (69 citations), Pediatrics, Perinatology and Child Health (85 citations) and Health Informatics (6 citations). Chris Bizon has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kirk C. Wilhelmsen, Jonathan S. Berg, James P. Evans, Charles Schmitt, Ian R. Gizer, Cindy L. Ehlers, Alexander Tropsha, Kristy Lee, Bradford C. Powell and Karamarie Fecho. Their work appears in journals such as Bioinformatics, Genetics in Medicine, BMC Bioinformatics, Journal of Chemical Information and Modeling and Clinical and Translational Science.
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.