Chris Bizon

2.1k total citations
38 papers, 715 citations indexed

About

Chris Bizon is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Chris Bizon has authored 38 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Genetics and 7 papers in Artificial Intelligence. Recurrent topics in Chris Bizon's work include Genomics and Rare Diseases (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Genetic Associations and Epidemiology (6 papers). Chris Bizon is often cited by papers focused on Genomics and Rare Diseases (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Genetic Associations and Epidemiology (6 papers). Chris Bizon collaborates with scholars based in United States, Canada and United Kingdom. Chris Bizon's co-authors include Kirk C. Wilhelmsen, Jonathan S. Berg, James P. Evans, Charles Schmitt, Ian R. Gizer, Cindy L. Ehlers, Alexander Tropsha, Kristy Lee, Karamarie Fecho and Bradford C. Powell and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Chris Bizon

35 papers receiving 704 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Bizon United States 16 345 292 105 76 71 38 715
Mindy Clyne United States 17 526 1.5× 433 1.5× 59 0.6× 111 1.5× 67 0.9× 26 1.2k
Kaname Kojima Japan 17 169 0.5× 453 1.6× 27 0.3× 95 1.3× 55 0.8× 48 867
Lisa A. Bastarache United States 9 461 1.3× 309 1.1× 32 0.3× 49 0.6× 37 0.5× 11 954
Chanin Limwongse Thailand 20 243 0.7× 511 1.8× 83 0.8× 66 0.9× 98 1.4× 94 1.2k
Zoë May Pendlington United Kingdom 2 706 2.0× 715 2.4× 45 0.4× 142 1.9× 56 0.8× 2 1.3k
Matthew T. Oetjens United States 14 466 1.4× 285 1.0× 59 0.6× 38 0.5× 23 0.3× 30 869
Murray H. Brilliant United States 17 302 0.9× 398 1.4× 38 0.4× 31 0.4× 32 0.5× 38 987
Emily Bowler-Barnett United Kingdom 7 712 2.1× 794 2.7× 45 0.4× 159 2.1× 57 0.8× 10 1.4k
Christine M. Colvis United States 12 68 0.2× 394 1.3× 129 1.2× 120 1.6× 71 1.0× 19 1.3k
Pouya Khankhanian United States 16 292 0.8× 666 2.3× 37 0.4× 65 0.9× 289 4.1× 40 1.3k

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-authorship network of co-authors of Chris Bizon

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Bizon. A scholar is included among the top collaborators of Chris Bizon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Bizon. Chris Bizon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fajgenbaum, David C., et al.. (2025). Pioneering a new field of computational pharmacophenomics to unlock the life-saving potential of existing medicines. The Lancet Haematology. 12(2). e94–e96.
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4.
Korn, Daniel, Vinícius M. Alves, Joyce Villa Verde Bastos Borba, et al.. (2022). Defining clinical outcome pathways. Drug Discovery Today. 27(6). 1671–1678. 9 indexed citations
5.
Bizon, Chris, et al.. (2022). Association of Predicted Expression and Multimodel Association Analysis of Substance Abuse Traits. PubMed. 8(1-2). 35–46. 1 indexed citations
6.
Fecho, Karamarie, Chris Bizon, Frederick W. Miller, et al.. (2021). A Biomedical Knowledge Graph System to Propose Mechanistic Hypotheses for Real-World Environmental Health Observations: Cohort Study and Informatics Application. JMIR Medical Informatics. 9(7). e26714–e26714. 15 indexed citations
7.
Korn, Daniel, Tesia Bobrowski, Patrick Wang, et al.. (2020). COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database. Bioinformatics. 37(4). 586–587. 15 indexed citations
8.
Cox, Steven J., Stanley C. Ahalt, James P. Balhoff, et al.. (2020). Visualization Environment for Federated Knowledge Graphs: Development of an Interactive Biomedical Query Language and Web Application Interface. JMIR Medical Informatics. 8(11). e17964–e17964. 8 indexed citations
9.
Deak, Joseph D., Ian R. Gizer, Jacqueline M. Otto, Chris Bizon, & Kirk C. Wilhelmsen. (2019). Effects of Common and Rare Chromosome 4 GABAergic Gene Variation on Alcohol Use and Antisocial Behavior. Journal of Studies on Alcohol and Drugs. 80(6). 585–593. 1 indexed citations
10.
Kanavy, Dona, Shannon McNulty, Sarah E. Brnich, et al.. (2019). Comparative analysis of functional assay evidence use by ClinGen Variant Curation Expert Panels. Genome Medicine. 11(1). 77–77. 33 indexed citations
11.
Peng, Qian, Chris Bizon, Ian R. Gizer, Kirk C. Wilhelmsen, & Cindy L. Ehlers. (2019). Genetic loci for alcohol-related life events and substance-induced affective symptoms: indexing the “dark side” of addiction. Translational Psychiatry. 9(1). 71–71. 16 indexed citations
12.
Dolman, Lena, Angela Page, Lawrence Babb, et al.. (2018). ClinGen advancing genomic data‐sharing standards as a GA4GH driver project. Human Mutation. 39(11). 1686–1689. 11 indexed citations
13.
Marchuk, Daniel S., Kristy Crooks, Natasha T. Strande, et al.. (2018). Increasing the diagnostic yield of exome sequencing by copy number variant analysis. PLoS ONE. 13(12). e0209185–e0209185. 49 indexed citations
14.
Patel, Ronak Y., Andrew R. Jackson, Chris Bizon, et al.. (2018). ClinGen Allele Registry links information about genetic variants. Human Mutation. 39(11). 1690–1701. 25 indexed citations
15.
Vora, Neeta L., Bradford C. Powell, Alicia Brandt, et al.. (2017). Prenatal exome sequencing in anomalous fetuses: new opportunities and challenges. Genetics in Medicine. 19(11). 1207–1216. 105 indexed citations
16.
Otto, Jacqueline M., Ian R. Gizer, Chris Bizon, Kirk C. Wilhelmsen, & Cindy L. Ehlers. (2016). Polygenic risk scores for cigarettes smoked per day do not generalize to a Native American population. Drug and Alcohol Dependence. 167. 95–102. 8 indexed citations
17.
Cabanski, Christopher R., Chris Bizon, Matthew D. Wilkerson, et al.. (2012). ReQON: a Bioconductor package for recalibrating quality scores from next-generation sequencing data. BMC Bioinformatics. 13(1). 221–221. 13 indexed citations
18.
Mane, Ketan K., Chris Bizon, Charles Schmitt, et al.. (2011). VisualDecisionLinc: A visual analytics approach for comparative effectiveness-based clinical decision support in psychiatry. Journal of Biomedical Informatics. 45(1). 101–106. 43 indexed citations
19.
Mane, Ketan K., Chris Bizon, Phillips Owen, et al.. (2011). Patient Electronic Health Data–Driven Approach to Clinical Decision Support. Clinical and Translational Science. 4(5). 369–371. 5 indexed citations
20.
Berg, Jonathan S., James P. Evans, Margaret W. Leigh, et al.. (2011). Next generation massively parallel sequencing of targeted exomes to identify genetic mutations in primary ciliary dyskinesia: Implications for application to clinical testing. Genetics in Medicine. 13(3). 218–229. 41 indexed citations

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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