Timothy M. Barrow

956 total citations
22 papers, 686 citations indexed

About

Timothy M. Barrow is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Genetics. According to data from OpenAlex, Timothy M. Barrow has authored 22 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Health, Toxicology and Mutagenesis and 4 papers in Genetics. Recurrent topics in Timothy M. Barrow's work include Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Timothy M. Barrow is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Timothy M. Barrow collaborates with scholars based in United Kingdom, United States and China. Timothy M. Barrow's co-authors include Hyang‐Min Byun, Karin B. Michels, Akın Çayır, Liqiong Guo, Gunter Kuhnle, Chanachai Sae‐Lee, John C. Mathers, Sheila Bingham, Annemiek M. Joosen and Andrew Collins and has published in prestigious journals such as PLoS ONE, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Timothy M. Barrow

22 papers receiving 675 citations

Peers

Timothy M. Barrow
Rita Paro Italy
JeHoon Lee United States
Udo Meinhardt Switzerland
Eric A. Schaub United States
Timothy M. Barrow
Citations per year, relative to Timothy M. Barrow Timothy M. Barrow (= 1×) peers Xiaojie Song

Countries citing papers authored by Timothy M. Barrow

Since Specialization
Citations

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

Fields of papers citing papers by Timothy M. Barrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy M. Barrow. 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 Timothy M. Barrow. The network helps show where Timothy M. Barrow may publish in the future.

Co-authorship network of co-authors of Timothy M. Barrow

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy M. Barrow. A scholar is included among the top collaborators of Timothy M. Barrow 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 Timothy M. Barrow. Timothy M. Barrow 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.
Ghosh, Manosij, et al.. (2023). Toxicomethylomics revisited: A state-of-the-science review about DNA methylation modifications in blood cells from workers exposed to toxic agents. Frontiers in Public Health. 11. 1073658–1073658. 3 indexed citations
2.
Sae‐Lee, Chanachai, Timothy M. Barrow, Elena Colicino, et al.. (2022). Genomic targets and selective inhibition of DNA methyltransferase isoforms. Clinical Epigenetics. 14(1). 103–103. 11 indexed citations
3.
Schwalbe, Ed C., et al.. (2021). Integration of genome-level data to allow identification of subtype-specific vulnerability genes as novel therapeutic targets. Oncogene. 40(33). 5213–5223. 3 indexed citations
4.
Çayır, Akın, Hyang‐Min Byun, & Timothy M. Barrow. (2020). Environmental epitranscriptomics. Environmental Research. 189. 109885–109885. 39 indexed citations
5.
Barrow, Timothy M., Nicole Wong Doo, Roger L. Milne, et al.. (2020). Analysis of retrotransposon subfamily DNA methylation reveals novel early epigenetic changes in chronic lymphocytic leukemia. Haematologica. 106(1). 98–110. 14 indexed citations
6.
Sae‐Lee, Chanachai, Natassia Robinson, Timothy M. Barrow, et al.. (2020). DNA methylation patterns of LINE-1 and Alu for pre-symptomatic dementia in type 2 diabetes. PLoS ONE. 15(6). e0234578–e0234578. 12 indexed citations
7.
Barrow, Timothy M., Sirintra Nakjang, Susan J. Tudhope, et al.. (2020). Epigenome-wide analysis reveals functional modulators of drug sensitivity and post-treatment survival in chronic lymphocytic leukaemia. British Journal of Cancer. 124(2). 474–483. 15 indexed citations
8.
Çayır, Akın, Timothy M. Barrow, Liqiong Guo, & Hyang‐Min Byun. (2019). Exposure to environmental toxicants reduces global N6-methyladenosine RNA methylation and alters expression of RNA methylation modulator genes. Environmental Research. 175. 228–234. 78 indexed citations
9.
Çayır, Akın, Timothy M. Barrow, Hao Wang, et al.. (2018). Occupational noise exposure is associated with hypertension in China: Results from project ELEFANT. PLoS ONE. 13(12). e0209041–e0209041. 17 indexed citations
10.
Guo, Liqiong, Cheng Peng, Hui Xu, et al.. (2018). Age at menarche and prevention of hypertension through lifestyle in young Chinese adult women: result from project ELEFANT. BMC Women s Health. 18(1). 182–182. 21 indexed citations
11.
Barrow, Timothy M., Cheng Peng, Ander Wilson, et al.. (2018). Psychosocial stress is associated with benign breast disease in young Chinese women: results from Project ELEFANT. Breast Cancer Research and Treatment. 173(1). 217–224. 9 indexed citations
12.
Xu, Hui, Penghui Li, Timothy M. Barrow, et al.. (2018). Obesity as an effect modifier of the association between menstrual abnormalities and hypertension in young adult women: Results from Project ELEFANT. PLoS ONE. 13(11). e0207929–e0207929. 22 indexed citations
13.
Sae‐Lee, Chanachai, Timothy M. Barrow, Gunter Kuhnle, et al.. (2018). Dietary Intervention Modifies DNA Methylation Age Assessed by the Epigenetic Clock. Molecular Nutrition & Food Research. 62(23). e1800092–e1800092. 83 indexed citations
14.
Barrow, Timothy M., Hagen Klett, Réka Tóth, et al.. (2017). Smoking is associated with hypermethylation of the APC 1A promoter in colorectal cancer: the ColoCare Study. The Journal of Pathology. 243(3). 366–375. 40 indexed citations
15.
Guo, Liqiong, Penghui Li, Hua Li, et al.. (2016). Effects of environmental noise exposure on DNA methylation in the brain and metabolic health. Environmental Research. 153. 73–82. 40 indexed citations
16.
Tabish, Ali M., Andrea Baccarelli, Lode Godderis, et al.. (2015). Assessment of Changes in Global DNA Methylation Levels by Pyrosequencing® of Repetitive Elements. Methods in molecular biology. 1315. 201–207. 15 indexed citations
17.
Byun, Hyang‐Min & Timothy M. Barrow. (2015). Analysis of Pollutant-Induced Changes in Mitochondrial DNA Methylation. Methods in molecular biology. 1265. 271–283. 18 indexed citations
18.
Barrow, Timothy M., Ludovic Barault, Rachel E. Ellsworth, et al.. (2015). Aberrant methylation of imprinted genes is associated with negative hormone receptor status in invasive breast cancer. International Journal of Cancer. 137(3). 537–547. 24 indexed citations
19.
Barrow, Timothy M. & Karin B. Michels. (2014). Epigenetic epidemiology of cancer. Biochemical and Biophysical Research Communications. 455(1-2). 70–83. 68 indexed citations
20.
Joosen, Annemiek M., Gunter Kuhnle, Sue Aspinall, et al.. (2009). Effect of processed and red meat on endogenous nitrosation and DNA damage. Carcinogenesis. 30(8). 1402–1407. 110 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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