Chris Bizon

2.1k citations
38 papers · 715 · h-index 16

Impact in

  • Genetics top 5%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology

Papers in

    • Biomedical Text Mining and Ontologies 10
    • Bioinformatics and Genomic Networks 6
    • Epigenetics and DNA Methylation 4
    • Genomics and Rare Diseases 10
    • Genetic Associations and Epidemiology 6
    • Genomic variations and chromosomal abnormalities 4

Chris Bizon

35 papers receiving 704 citations

Peers

Chris Bizon
Comparison fields: 5 of 119
  • Genetics 345
  • Health Informatics 8
  • Pediatrics, Perinatology and Child Health 105
  • Health Information Management 24
  • Cancer Research 76
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Citations per field
00.5×2.8×
Murray H. Brilliant · 1×
Citations per year

Countries citing papers authored by Chris Bizon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chris Bizon Line = papers co-authored together Chris Bizon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017105
2 201298
3 201849
4 201143
5 201141
6 201938
7 201933
8 201929
9 201428
10 201825
11 201522
12 202219
13 201917
14 201916
15 202015
16 202115
17 201213
18 201713
19 201413
20 201612

About Chris Bizon

Chris Bizon is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 38 papers that have together received 715 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Genomics and Rare Diseases (10 papers), Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Computational Drug Discovery Methods (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Genetics (345 citations), Health Informatics (8 citations), Pediatrics, Perinatology and Child Health (105 citations), Health Information Management (24 citations) and Cancer Research (76 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, Alexander Tropsha, Cindy L. Ehlers, Kristy Lee, Karamarie Fecho and Michael C. C. Adams. Their work appears in journals such as Bioinformatics, Genetics in Medicine, BMC Bioinformatics, Clinical and Translational Science and American Journal of Medical Genetics Part B Neuropsychiatric 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.

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