Byron Kuo

1.6k total citations
33 papers, 1.1k citations indexed

About

Byron Kuo is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Byron Kuo has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Cancer Research and 14 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Byron Kuo's work include Carcinogens and Genotoxicity Assessment (16 papers), Effects and risks of endocrine disrupting chemicals (11 papers) and Molecular Biology Techniques and Applications (9 papers). Byron Kuo is often cited by papers focused on Carcinogens and Genotoxicity Assessment (16 papers), Effects and risks of endocrine disrupting chemicals (11 papers) and Molecular Biology Techniques and Applications (9 papers). Byron Kuo collaborates with scholars based in Canada, United States and United Kingdom. Byron Kuo's co-authors include Carole L. Yauk, Andrew Williams, Nikolai L. Chepelev, Rémi Gagné, Sabina Halappanavar, Russell S. Thomas, Ivy D. Moffat, Ivan Curran, Leslie Recio and Michael G. Wade and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Byron Kuo

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byron Kuo Canada 17 507 417 318 158 120 33 1.1k
Tara S. Barton‐Maclaren Canada 18 314 0.6× 623 1.5× 232 0.7× 326 2.1× 115 1.0× 35 1.3k
Daniel Svoboda United States 15 576 1.1× 412 1.0× 139 0.4× 147 0.9× 79 0.7× 19 1.2k
Fabian A. Grimm United States 19 397 0.8× 660 1.6× 155 0.5× 188 1.2× 103 0.9× 31 1.3k
Annamaria Colacci Italy 21 501 1.0× 351 0.8× 529 1.7× 76 0.5× 25 0.2× 95 1.3k
Stephan Kirchner Switzerland 11 417 0.8× 228 0.5× 449 1.4× 153 1.0× 21 0.2× 18 972
Sieto Bosgra Netherlands 19 201 0.4× 348 0.8× 122 0.4× 55 0.3× 38 0.3× 33 895
Matthew J. Meier Canada 17 247 0.5× 193 0.5× 186 0.6× 36 0.2× 85 0.7× 49 657
Catherine S. Sprankle United States 15 241 0.5× 178 0.4× 187 0.6× 133 0.8× 39 0.3× 20 693
Kelly J. Chandler United States 13 654 1.3× 353 0.8× 102 0.3× 235 1.5× 45 0.4× 15 1.2k
Andrew J. Shapiro United States 11 115 0.2× 465 1.1× 109 0.3× 100 0.6× 66 0.6× 19 773

Countries citing papers authored by Byron Kuo

Since Specialization
Citations

This map shows the geographic impact of Byron Kuo'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 Byron Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byron Kuo more than expected).

Fields of papers citing papers by Byron Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byron Kuo. 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 Byron Kuo. The network helps show where Byron Kuo may publish in the future.

Co-authorship network of co-authors of Byron Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Byron Kuo. A scholar is included among the top collaborators of Byron Kuo 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 Byron Kuo. Byron Kuo 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.
Vuong, Ngoc Q., Byron Kuo, Afshin Beheshti, et al.. (2022). Evaluating the influences of confounding variables on benchmark dose using a case study in the field of ionizing radiation. International Journal of Radiation Biology. 98(12). 1845–1855. 1 indexed citations
2.
Stainforth, R., Ngoc Q. Vuong, Byron Kuo, et al.. (2022). Benchmark dose modeling of transcriptional data: a systematic approach to identify best practices for study designs used in radiation research. International Journal of Radiation Biology. 98(12). 1832–1844. 7 indexed citations
3.
Kuo, Byron, Marc A. Beal, John W. Wills, et al.. (2022). Comprehensive interpretation of in vitro micronucleus test results for 292 chemicals: from hazard identification to risk assessment application. Archives of Toxicology. 96(7). 2067–2085. 19 indexed citations
4.
Hobbs, Cheryl A., Rémi Gagné, Andrew Williams, et al.. (2021). Transcriptomic pathway and benchmark dose analysis of Bisphenol A, Bisphenol S, Bisphenol F, and 3,3',5,5'-Tetrabromobisphenol A in H9 human embryonic stem cells. Toxicology in Vitro. 72. 105097–105097. 7 indexed citations
5.
Chepelev, Nikolai L., Rémi Gagné, Byron Kuo, et al.. (2018). Transcriptional profiling of male CD-1 mouse lungs and Harderian glands supports the involvement of calcium signaling in acrylamide-induced tumors. Regulatory Toxicology and Pharmacology. 95. 75–90. 16 indexed citations
6.
Farmahin, Reza, Anne Marie Gannon, Rémi Gagné, et al.. (2018). Hepatic transcriptional dose-response analysis of male and female Fischer rats exposed to hexabromocyclododecane. Food and Chemical Toxicology. 133. 110262–110262. 26 indexed citations
7.
Phillips, Jason, Daniel Svoboda, Arpit Tandon, et al.. (2018). BMDExpress 2: enhanced transcriptomic dose-response analysis workflow. Bioinformatics. 35(10). 1780–1782. 153 indexed citations
8.
Chepelev, Nikolai L., Rémi Gagné, Byron Kuo, et al.. (2017). Transcriptional profiling of male F344 rats suggests the involvement of calcium signaling in the mode of action of acrylamide-induced thyroid cancer. Food and Chemical Toxicology. 107(Pt A). 186–200. 16 indexed citations
9.
Jackson, Marcus, Longlong Yang, Isabel A. Lea, et al.. (2017). The TGx‐28.65 biomarker online application for analysis of transcriptomics data to identify DNA damage‐inducing chemicals in human cell cultures. Environmental and Molecular Mutagenesis. 58(7). 529–535. 15 indexed citations
10.
Farmahin, Reza, Andrew Williams, Byron Kuo, et al.. (2016). Recommended approaches in the application of toxicogenomics to derive points of departure for chemical risk assessment. Archives of Toxicology. 91(5). 2045–2065. 135 indexed citations
11.
Labib, Sarah, Andrew Williams, Byron Kuo, et al.. (2016). A framework for the use of single-chemical transcriptomics data in predicting the hazards associated with complex mixtures of polycyclic aromatic hydrocarbons. Archives of Toxicology. 91(7). 2599–2616. 17 indexed citations
12.
Chepelev, Nikolai L., Rémi Gagné, Byron Kuo, et al.. (2015). Impact of Genomics Platform and Statistical Filtering on Transcriptional Benchmark Doses (BMD) and Multiple Approaches for Selection of Chemical Point of Departure (PoD). PLoS ONE. 10(8). e0136764–e0136764. 46 indexed citations
13.
Chepelev, Nikolai L., Alexandra S. Long, Andrew Williams, et al.. (2015). Transcriptional Profiling of Dibenzo[def,p]chrysene-induced Spleen Atrophy Provides Mechanistic Insights into its Immunotoxicity in MutaMouse. Toxicological Sciences. 149(1). 251–268. 13 indexed citations
14.
Chepelev, Nikolai L., Ivy D. Moffat, Sarah Labib, et al.. (2015). Integrating toxicogenomics into human health risk assessment: Lessons learned from the benzo[a]pyrene case study. Critical Reviews in Toxicology. 45(1). 44–52. 49 indexed citations
15.
Dong, Hongyan, Santokh Gill, Ivan Curran, et al.. (2015). Toxicogenomic assessment of liver responses following subchronic exposure to furan in Fischer F344 rats. Archives of Toxicology. 90(6). 1351–1367. 50 indexed citations
16.
Halappanavar, Sabina, Dongmei Wu, Andrew Williams, et al.. (2011). Pulmonary gene and microRNA expression changes in mice exposed to benzo(a)pyrene by oral gavage. Toxicology. 285(3). 133–141. 56 indexed citations
17.
Kuo, Byron, et al.. (2007). Vcsa1 Gene Peptides for the Treatment of Inflammatory and Allergic Reactions. Recent Patents on Inflammation & Allergy Drug Discovery. 1(2). 124–132. 10 indexed citations
18.
Good, Benjamin M., et al.. (2006). iHOPerator: user-scripting a personalized bioinformatics Web, starting with the iHOP website. BMC Bioinformatics. 7(1). 534–534. 13 indexed citations
19.
Kuo, Byron, et al.. (2006). SAGE2Splice: Unmapped SAGE Tags Reveal Novel Splice Junctions. PLoS Computational Biology. 2(4). e34–e34. 10 indexed citations
20.

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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