Kenneth B. Beckman

14.5k total citations · 4 hit papers
78 papers, 8.7k citations indexed

About

Kenneth B. Beckman is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Kenneth B. Beckman has authored 78 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 15 papers in Physiology and 13 papers in Genetics. Recurrent topics in Kenneth B. Beckman's work include Epigenetics and DNA Methylation (9 papers), Asthma and respiratory diseases (8 papers) and DNA Repair Mechanisms (6 papers). Kenneth B. Beckman is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Asthma and respiratory diseases (8 papers) and DNA Repair Mechanisms (6 papers). Kenneth B. Beckman collaborates with scholars based in United States, United Kingdom and Canada. Kenneth B. Beckman's co-authors include Bruce N. Ames, Harold J. Helbock, Daryl M. Gohl, Dan Knights, Mark K. Shigenaga, Patrick B. Walter, Helen Yeo, Alan Woodall, Jennifer E. Cropley and Catherine M. Suter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kenneth B. Beckman

75 papers receiving 8.4k citations

Hit Papers

The Free Radical Theory of Aging Matures 1997 2026 2006 2016 1998 1997 1998 2016 1000 2.0k 3.0k

Peers

Kenneth B. Beckman
Nigel Turner Australia
Martine Raes Belgium
Julio F. Turrens United States
Pankaj Kapahi United States
Gerald S. Shadel United States
Huber R. Warner United States
Nigel Turner Australia
Kenneth B. Beckman
Citations per year, relative to Kenneth B. Beckman Kenneth B. Beckman (= 1×) peers Nigel Turner

Countries citing papers authored by Kenneth B. Beckman

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth B. Beckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth B. Beckman. 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 Kenneth B. Beckman. The network helps show where Kenneth B. Beckman may publish in the future.

Co-authorship network of co-authors of Kenneth B. Beckman

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth B. Beckman. A scholar is included among the top collaborators of Kenneth B. Beckman 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 Kenneth B. Beckman. Kenneth B. Beckman 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.
Herrera‐Luis, Esther, Scott Huntsman, Celeste Eng, et al.. (2023). Novel insights into the whole-blood DNA methylome of asthma in ethnically diverse children and youth. European Respiratory Journal. 62(6). 2300714–2300714. 2 indexed citations
2.
Herrera‐Luis, Esther, Annie Li, Angel C. Y. Mak, et al.. (2023). Multi-omic approach associates blood methylome with bronchodilator drug response in pediatric asthma. Journal of Allergy and Clinical Immunology. 151(6). 1503–1512. 10 indexed citations
3.
Beckman, Kenneth B., et al.. (2023). Mycobacterium tuberculosis Requires the Outer Membrane Lipid Phthiocerol Dimycocerosate for Starvation-Induced Antibiotic Tolerance. mSystems. 8(1). e0069922–e0069922. 18 indexed citations
4.
Shi, Vivian Y., Winston Chamberlain, Elaine C. Siegfried, et al.. (2023). Practical management of ocular surface disease in patients with atopic dermatitis, with a focus on conjunctivitis: A review. Journal of the American Academy of Dermatology. 89(2). 309–315. 11 indexed citations
5.
Herrera‐Luis, Esther, Annie Li, Angel C. Y. Mak, et al.. (2022). Epigenome-wide association study of lung function in Latino children and youth with asthma. Clinical Epigenetics. 14(1). 9–9. 9 indexed citations
6.
Gohl, Daryl M., Benjamin Auch, Brice Le François, et al.. (2021). Dissecting and tuning primer editing by proofreading polymerases. Nucleic Acids Research. 49(15). e87–e87. 8 indexed citations
7.
Kuo, Chia‐Ling, Luke C. Pilling, Janice L. Atkins, et al.. (2021). Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants. The Journals of Gerontology Series A. 76(8). e133–e141. 36 indexed citations
8.
Martinez, Ryan J., Nathan Pankratz, Jerry Daniel, et al.. (2021). Prediction of False-Positive Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Molecular Results in a High-Throughput Open-Platform System. Journal of Molecular Diagnostics. 23(9). 1085–1096. 3 indexed citations
9.
Gohl, Daryl M., John Garbe, Patrick G. S. Grady, et al.. (2020). A rapid, cost-effective tailed amplicon method for sequencing SARS-CoV-2. BMC Genomics. 21(1). 57 indexed citations
10.
Mills, Lauren J., Milcah C. Scott, Pankti Shah, et al.. (2020). Comparative analysis of genome-wide DNA methylation identifies patterns that associate with conserved transcriptional programs in osteosarcoma. Bone. 158. 115716–115716. 9 indexed citations
11.
Li, Yuqing, Elena Giorgi, Kenneth B. Beckman, et al.. (2019). Association between mitochondrial genetic variation and breast cancer risk: The Multiethnic Cohort. PLoS ONE. 14(10). e0222284–e0222284. 9 indexed citations
12.
Giorgi, Elena, Yuqing Li, Christian Caberto, et al.. (2016). No Association between the Mitochondrial Genome and Prostate Cancer Risk: The Multiethnic Cohort. Cancer Epidemiology Biomarkers & Prevention. 25(6). 1001–1003. 14 indexed citations
13.
Fejerman, Laura, Nasim Ahmadiyeh, Donglei Hu, et al.. (2014). Abstract LB-299: Genome wide association study of breast cancer in Latinas identifies protective variants of Indigenous American origin on 6q25. Cancer Research. 74(19_Supplement). LB–299.
14.
Robien, Kim, Lesley M. Butler, Renwei Wang, et al.. (2012). Genetic and environmental predictors of serum 25-hydroxyvitamin D concentrations among middle-aged and elderly Chinese in Singapore. British Journal Of Nutrition. 109(3). 493–502. 74 indexed citations
15.
Huen, Karen, Lisa F. Barcellos, Kenneth B. Beckman, et al.. (2010). Effects of PON polymorphisms and haplotypes on molecular phenotype in Mexican‐American mothers and children. Environmental and Molecular Mutagenesis. 52(2). 105–116. 20 indexed citations
16.
Müller, Florian L., Kenneth B. Beckman, & Satomi Miwa. (2008). Oxidative Stress in Aging · From Model Systems to Human Diseases. Springer eBooks. 24 indexed citations
17.
Choudhry, Shweta, Hui‐Ju Tsai, Celeste Eng, et al.. (2007). Ethnicity-specific Gene–Gene Interaction between IL-13 and IL-4Rα among African Americans with Asthma. American Journal of Respiratory and Critical Care Medicine. 175(9). 881–887. 64 indexed citations
18.
Golden, Tamara R., et al.. (2007). Dramatic age‐related changes in nuclear and genome copy number in the nematode Caenorhabditis elegans. Aging Cell. 6(2). 179–188. 45 indexed citations
19.
Beckman, Kenneth B. & Bruce N. Ames. (1997). Oxidants, Antioxidants, and Aging. Cold Spring Harbor Monograph Archive. 34. 201–246. 31 indexed citations
20.
Beckman, Kenneth B. & Bruce N. Ames. (1996). [38] Detection and quantification of oxidative adducts of mitochondrial DNA. Methods in enzymology on CD-ROM/Methods in enzymology. 264. 442–453. 66 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026