Ken J. Kron

2.9k total citations
26 papers, 1.0k citations indexed

About

Ken J. Kron is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Ken J. Kron has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Ken J. Kron's work include Epigenetics and DNA Methylation (15 papers), Prostate Cancer Treatment and Research (14 papers) and RNA modifications and cancer (6 papers). Ken J. Kron is often cited by papers focused on Epigenetics and DNA Methylation (15 papers), Prostate Cancer Treatment and Research (14 papers) and RNA modifications and cancer (6 papers). Ken J. Kron collaborates with scholars based in Canada, United States and United Kingdom. Ken J. Kron's co-authors include Theodorus van der Kwast, Bharati Bapat, John Trachtenberg, Neil Fleshner, Dominique Trudel, Mathieu Lupien, Vaijayanti Pethe, Laurent Briollais, Michelle R. Downes and Jenna Sykes and has published in prestigious journals such as Journal of Clinical Investigation, Nature Genetics and PLoS ONE.

In The Last Decade

Ken J. Kron

26 papers receiving 1.0k citations

Peers

Ken J. Kron

PRM

GENET

ONCOL

B.J. Moss United States

Shamini Selvarajah Canada

Yuji Tada Japan

L. Ralph Rohr United States

Federica Torricelli Italy

Christiane Hader Germany

Borys Korchin United States

Masafumi Toyoshima Japan

Jeanie Wu Singapore

Wenjun Qiu China

B.J. Moss United States

Ken J. Kron

691 ×1.1

767 ×1.6

PRM

309 ×1.2

91 ×1.0

GENET

209 ×2.2

ONCOL

Citations per year, relative to Ken J. Kron Ken J. Kron (= 1×) peers B.J. Moss

Countries citing papers authored by Ken J. Kron

Since Specialization

Citations

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

Fields of papers citing papers by Ken J. Kron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken J. Kron. 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 Ken J. Kron. The network helps show where Ken J. Kron may publish in the future.

Co-authorship network of co-authors of Ken J. Kron

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

All Works

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20 of 20 papers shown

Grillo, Giacomo, Simon Linder, Christopher Arlidge, et al.. (2023). Transposable Elements Are Co-opted as Oncogenic Regulatory Elements by Lineage-Specific Transcription Factors in Prostate Cancer. Cancer Discovery. 13(11). 2470–2487. 21 indexed citations

Holgersen, Erle M., Jin‐Kuk Kim, Zvi Shalev, et al.. (2021). Transcriptome-Wide Off-Target Effects of Steric-Blocking Oligonucleotides. Nucleic Acid Therapeutics. 31(6). 392–403. 47 indexed citations

Merico, Daniele, Boyko Kakaradov, Amit G. Deshwar, et al.. (2020). ATP7B variant c.1934T > G p.Met645Arg causes Wilson disease by promoting exon 6 skipping. npj Genomic Medicine. 5(1). 16–16. 10 indexed citations

Mazrooei, Parisa, Ken J. Kron, Yanyun Zhu, et al.. (2019). Cistrome Partitioning Reveals Convergence of Somatic Mutations and Risk Variants on Master Transcription Regulators in Primary Prostate Tumors. Cancer Cell. 36(6). 674–689.e6. 39 indexed citations

Sonzogni, Olmo, Jennifer Haynes, Kai Huang, et al.. (2018). Reporters to mark and eliminate basal or luminal epithelial cells in culture and in vivo. PLoS Biology. 16(6). e2004049–e2004049. 16 indexed citations

Kron, Ken J., Alexander Murison, Stanley Zhou, et al.. (2017). TMPRSS2–ERG fusion co-opts master transcription factors and activates NOTCH signaling in primary prostate cancer. Nature Genetics. 49(9). 1336–1345. 117 indexed citations

Olkhov‐Mitsel, Ekaterina, Ken J. Kron, Vaijayanti Pethe, et al.. (2017). Epigenome-Wide DNA Methylation Profiling Identifies Differential Methylation Biomarkers in High-Grade Bladder Cancer. Translational Oncology. 10(2). 168–177. 26 indexed citations

Ho, Linh, Ken J. Kron, Ruth Isserlin, et al.. (2016). Dynamic interplay between locus-specific DNA methylation and hydroxymethylation regulates distinct biological pathways in prostate carcinogenesis. Clinical Epigenetics. 8(1). 32–32. 21 indexed citations

Bailey, Swneke D., Kinjal Desai, Ken J. Kron, et al.. (2016). Noncoding somatic and inherited single-nucleotide variants converge to promote ESR1 expression in breast cancer. Nature Genetics. 48(10). 1260–1266. 57 indexed citations

10.

Ho, Linh, Ekaterina Olkhov‐Mitsel, Ken J. Kron, et al.. (2014). Integrated analysis of epigenomic and genomic changes by DNA methylation dependent mechanisms provides potential novel biomarkers for prostate cancer. PubMed Central. 14 indexed citations

11.

Trudel, Dominique, Michelle R. Downes, Jenna Sykes, et al.. (2014). Prognostic impact of intraductal carcinoma and large cribriform carcinoma architecture after prostatectomy in a contemporary cohort. European Journal of Cancer. 50(9). 1610–1616. 131 indexed citations

12.

Kron, Ken J., Swneke D. Bailey, & Mathieu Lupien. (2014). Enhancer alterations in cancer: a source for a cell identity crisis. Genome Medicine. 6(9). 77–77. 34 indexed citations

13.

Olkhov‐Mitsel, Ekaterina, Darko Zdravic, Ken J. Kron, et al.. (2014). Novel Multiplex MethyLight Protocol for Detection of DNA Methylation in Patient Tissues and Bodily Fluids. Scientific Reports. 4(1). 4432–4432. 37 indexed citations

14.

Kron, Ken J., Dominique Trudel, Vaijayanti Pethe, et al.. (2013). Altered DNA Methylation Landscapes of Polycomb-Repressed Loci Are Associated with Prostate Cancer Progression and ERG Oncogene Expression in Prostate Cancer. Clinical Cancer Research. 19(13). 3450–3461. 20 indexed citations

15.

Kron, Ken J., Liyang Liu, Dominique Trudel, et al.. (2012). Correlation of ERG Expression and DNA Methylation Biomarkers with Adverse Clinicopathologic Features of Prostate Cancer. Clinical Cancer Research. 18(10). 2896–2904. 43 indexed citations

16.

Olkhov‐Mitsel, Ekaterina, Theodorus van der Kwast, Ken J. Kron, et al.. (2012). Quantitative DNA methylation analysis of genes coding for kallikrein-related peptidases 6 and 10 as biomarkers for prostate cancer. Epigenetics. 7(9). 1037–1045. 35 indexed citations

17.

Liu, Liyang, Ken J. Kron, Vaijayanti Pethe, et al.. (2011). Association of tissue promoter methylation levels of APC, TGFβ2, HOXD3 and RASSF1A with prostate cancer progression. International Journal of Cancer. 129(10). 2454–2462. 73 indexed citations

18.

Kron, Ken J., Liyang Liu, Vaijayanti Pethe, et al.. (2010). DNA methylation of HOXD3 as a marker of prostate cancer progression. Laboratory Investigation. 90(7). 1060–1067. 46 indexed citations

19.

Kron, Ken J., et al.. (2010). How to Deal with Batch Effect in Sequential Microarray Experiments?. Molecular Informatics. 29(5). 387–393. 7 indexed citations

20.

Kron, Ken J., Vaijayanti Pethe, Laurent Briollais, et al.. (2009). Discovery of Novel Hypermethylated Genes in Prostate Cancer Using Genomic CpG Island Microarrays. PLoS ONE. 4(3). e4830–e4830. 74 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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