Kevin Byron

2.0k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

Kevin Byron is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Kevin Byron has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Kevin Byron's work include Viral-associated cancers and disorders (6 papers), Cytomegalovirus and herpesvirus research (6 papers) and Immune Cell Function and Interaction (4 papers). Kevin Byron is often cited by papers focused on Viral-associated cancers and disorders (6 papers), Cytomegalovirus and herpesvirus research (6 papers) and Immune Cell Function and Interaction (4 papers). Kevin Byron collaborates with scholars based in United States and Saudi Arabia. Kevin Byron's co-authors include J L Sullivan, Christine A. Biron, Frank Brewster, John L. Sullivan, David T. Purtilo, HD Ochs, Steven M. Baker, Robert H. Singer, Aubrey Milunsky and James Skare and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Kevin Byron

18 papers receiving 1.5k citations

Hit Papers

Severe Herpesvirus Infections in an Adolescent without Na... 1989 2026 2001 2013 1989 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Byron United States 9 1.1k 557 322 202 177 18 1.6k
Jeffrey Martinson United States 20 1.0k 1.0× 220 0.4× 383 1.2× 151 0.7× 145 0.8× 36 1.6k
Hiroshi Terunuma Japan 18 581 0.5× 338 0.6× 298 0.9× 377 1.9× 40 0.2× 58 1.4k
Carmen Campos Spain 14 671 0.6× 297 0.5× 160 0.5× 104 0.5× 160 0.9× 18 1.1k
P J Linton United States 9 902 0.8× 232 0.4× 124 0.4× 92 0.5× 108 0.6× 11 1.5k
Serani L.H. van Dommelen Australia 8 1.1k 1.0× 288 0.5× 216 0.7× 85 0.4× 118 0.7× 8 1.3k
Laura A. Napolitano United States 16 744 0.7× 290 0.5× 143 0.4× 358 1.8× 81 0.5× 33 1.4k
Crystal Y. Koh United States 17 650 0.6× 178 0.3× 198 0.6× 87 0.4× 136 0.8× 32 1.1k
Wai Po Chong China 20 748 0.7× 277 0.5× 161 0.5× 265 1.3× 50 0.3× 35 1.3k
Martine Papiernik France 18 1.1k 1.1× 113 0.2× 161 0.5× 92 0.5× 41 0.2× 42 1.6k
Inmaculada Gayoso Spain 10 868 0.8× 221 0.4× 340 1.1× 63 0.3× 239 1.4× 12 1.3k

Countries citing papers authored by Kevin Byron

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Byron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Byron

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Byron. A scholar is included among the top collaborators of Kevin Byron 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 Kevin Byron. Kevin Byron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Byron, Kevin, et al.. (2018). A comparative review of recent bioinformatics tools for inferring gene regulatory networks using time-series expression data. International Journal of Data Mining and Bioinformatics. 20(4). 320–320. 3 indexed citations
2.
Turki, Turki, et al.. (2017). MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach. BioMed Research International. 2017. 1–8. 6 indexed citations
3.
Byron, Kevin, et al.. (2016). Bioinformatics Database Systems. 1 indexed citations
4.
Byron, Kevin, et al.. (2013). A Computational Approach to Finding RNA Tertiary Motifs in Genomic Sequences: A Case Study. PubMed. 7(2). 115–122. 2 indexed citations
5.
Byron, Kevin, et al.. (2012). Genome-wide search for coaxial helical stacking motifs. 1. 260–265. 1 indexed citations
6.
Byron, Kevin, et al.. (2010). MINING roX1 RNA IN Drosophila GENOMES USING COVARIANCE MODELS. View. 1(1). 4 indexed citations
7.
Byron, Kevin, et al.. (1997). Detection and differentiation of Epstein–Barr virus strains byin situpolymerase chain reaction. Molecular and Cellular Probes. 11(3). 237–241. 3 indexed citations
8.
Byron, Kevin, et al.. (1994). Non-Syncytium-Inducing HIV Type 1 Isolated from Infected Individuals Replicates in MT-2 Cells. AIDS Research and Human Retroviruses. 10(12). 1613–1618. 8 indexed citations
9.
Somasundaran, Mohan, Maria L. Zapp, Lin Pang, et al.. (1994). Localization of HIV RNA in mitochondria of infected cells: potential role in cytopathogenicity.. The Journal of Cell Biology. 126(6). 1353–1360. 61 indexed citations
10.
Lawrence, Jeanne B., Lisa M. Marselle, Kevin Byron, et al.. (1990). Subcellular localization of low-abundance human immunodeficiency virus nucleic acid sequences visualized by fluorescence in situ hybridization.. Proceedings of the National Academy of Sciences. 87(14). 5420–5424. 34 indexed citations
11.
Biron, Christine A., Kevin Byron, & J L Sullivan. (1989). Severe Herpesvirus Infections in an Adolescent without Natural Killer Cells. New England Journal of Medicine. 320(26). 1731–1735. 980 indexed citations breakdown →
12.
Skare, James, Aubrey Milunsky, Kevin Byron, & J L Sullivan. (1987). Mapping the X-linked lymphoproliferative syndrome.. Proceedings of the National Academy of Sciences. 84(7). 2015–2018. 49 indexed citations
13.
Sullivan, John L., Frank Brewster, Doreen B. Brettler, et al.. (1986). Hemophiliac immunodeficiency: Influence of exposure to factor VIII concentrate, LAV/HTLV-III, and herpesviruses. The Journal of Pediatrics. 108(4). 504–510. 46 indexed citations
14.
Byron, Kevin, et al.. (1985). 1032 COMPLETE ABSENCE OF NATURAL KILLER (NK) CELLS ASSOCIATED WITH NEAR FATAL VARICELLA INFECTION. Pediatric Research. 19(4). 282A–282A. 1 indexed citations
15.
Sullivan, J L, Kevin Byron, Frank Brewster, Steven M. Baker, & HD Ochs. (1983). X-linked lymphoproliferative syndrome. Natural history of the immunodeficiency.. Journal of Clinical Investigation. 71(6). 1765–1778. 100 indexed citations
16.
Sullivan, John L., Kevin Byron, Frank Brewster, et al.. (1982). Treatment of life-threatening Epstein-Barr virus infections with acyclovir. The American Journal of Medicine. 73(1). 262–266. 42 indexed citations
17.
Sullivan, John L., Kevin Byron, Frank Brewster, & David T. Purtilo. (1980). Deficient Natural Killer Cell Activity in X-Linked Lymphoproliferative Syndrome. Science. 210(4469). 543–545. 183 indexed citations
18.
Murphy, Richard A., Robert H. Singer, Judith D. Saide, et al.. (1977). Synthesis and secretion of a high molecular weight form of nerve growth factor by skeletal muscle cells in culture.. Proceedings of the National Academy of Sciences. 74(10). 4496–4500. 47 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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