Charles A. Mein

11.5k total citations
96 papers, 3.9k citations indexed

About

Charles A. Mein is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Charles A. Mein has authored 96 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Genetics and 13 papers in Cancer Research. Recurrent topics in Charles A. Mein's work include Epigenetics and DNA Methylation (11 papers), Adipose Tissue and Metabolism (10 papers) and Genetic Associations and Epidemiology (8 papers). Charles A. Mein is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Adipose Tissue and Metabolism (10 papers) and Genetic Associations and Epidemiology (8 papers). Charles A. Mein collaborates with scholars based in United Kingdom, France and United States. Charles A. Mein's co-authors include Philippe Froguel, John A. Todd, Eva Wozniak, Michael Dunn, Amanda Wilson, Laura Esposito, Annabel N. Smith, Cécile Lecœur, Michael Antoniou and Bryan D. Young and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Nature Genetics.

In The Last Decade

Charles A. Mein

94 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles A. Mein United Kingdom	35	2.0k	981	452	450	436	96	3.9k
Jim Petrik Canada	38	1.5k 0.8×	652 0.7×	152 0.3×	447 1.0×	741 1.7×	118	4.1k
Kazuto Nakamura Japan	36	1.8k 0.9×	440 0.4×	258 0.6×	606 1.3×	885 2.0×	145	4.8k
Caroline Wheeler‐Jones United Kingdom	37	1.5k 0.8×	325 0.3×	266 0.6×	466 1.0×	558 1.3×	131	3.9k
Yoshio Terada Japan	46	3.3k 1.7×	500 0.5×	267 0.6×	1.0k 2.3×	847 1.9×	253	6.6k
Yousin Suh United States	41	3.2k 1.6×	659 0.7×	366 0.8×	1.2k 2.8×	273 0.6×	104	5.5k
Daniel Konrad Switzerland	38	1.9k 0.9×	840 0.9×	210 0.5×	1.6k 3.5×	678 1.6×	110	4.9k
Fiona Oakley United Kingdom	41	2.2k 1.1×	385 0.4×	432 1.0×	723 1.6×	798 1.8×	105	6.0k
Klara Sjögren Sweden	34	2.5k 1.2×	1.0k 1.1×	194 0.4×	992 2.2×	346 0.8×	74	4.7k
Salvatore Ulisse Italy	42	1.5k 0.8×	732 0.7×	433 1.0×	240 0.5×	780 1.8×	149	5.0k
Sławomir Wołczyński Poland	33	1.3k 0.7×	771 0.8×	137 0.3×	181 0.4×	264 0.6×	245	4.0k

Countries citing papers authored by Charles A. Mein

Since Specialization

Citations

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

Fields of papers citing papers by Charles A. Mein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles A. Mein. 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 Charles A. Mein. The network helps show where Charles A. Mein may publish in the future.

Co-authorship network of co-authors of Charles A. Mein

This figure shows the co-authorship network connecting the top 25 collaborators of Charles A. Mein. A scholar is included among the top collaborators of Charles A. Mein 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 Charles A. Mein. Charles A. Mein 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

Ackland, Gareth L., Stuart Miller, Ana Gutierrez del Arroyo, et al.. (2025). Non-invasive vagus nerve stimulation and exercise capacity in healthy volunteers: a randomized trial. European Heart Journal. 46(17). 1634–1644. 4 indexed citations

Vinel, Claire, Weiwei Jin, Nicola Pomella, et al.. (2025). Mapping chromatin remodelling in glioblastoma identifies epigenetic regulation of key molecular pathways and novel druggable targets. BMC Biology. 23(1). 26–26.

Humphreys, David T., Amy Lewis, Charles A. Mein, et al.. (2024). Single cell sequencing data identify distinct B cell and fibroblast populations in stricturing Crohn's disease. Journal of Cellular and Molecular Medicine. 28(9). e18344–e18344. 4 indexed citations

Allan, Harriet E., et al.. (2024). Multiparameter phenotyping of platelets and characterization of the effects of agonists using machine learning. Research and Practice in Thrombosis and Haemostasis. 8(5). 102523–102523. 4 indexed citations

Mesnage, Robin, Daniele Mandrioli, Laura Falcioni, et al.. (2021). Comparative Toxicogenomics of Glyphosate and Roundup Herbicides by Mammalian Stem Cell-Based Genotoxicity Assays and Molecular Profiling in Sprague-Dawley Rats. Toxicological Sciences. 186(1). 83–101. 45 indexed citations

Yuan, Wei, Fei Gao, Yudong Xia, et al.. (2021). The genomic loci of specific human tRNA genes exhibit ageing-related DNA hypermethylation. Nature Communications. 12(1). 2655–2655. 15 indexed citations

Thomas, Alison, Claudia Cabrera, Malcolm Finlay, et al.. (2019). Differentially expressed genes for atrial fibrillation identified by RNA sequencing from paired human left and right atrial appendages. Physiological Genomics. 51(8). 323–332. 33 indexed citations

Mesnage, Robin, Martina Biserni, Sucharitha Balu, et al.. (2018). Integrated transcriptomics and metabolomics reveal signatures of lipid metabolism dysregulation in HepaRG liver cells exposed to PCB 126. Archives of Toxicology. 92(8). 2533–2547. 56 indexed citations

Jolliffe, David A., Claire Greiller, Charles A. Mein, et al.. (2018). Vitamin D receptor genotype influences risk of upper respiratory infection. British Journal Of Nutrition. 120(8). 891–900. 34 indexed citations

10.

Riebler, Andrea, Mirco Menigatti, Jenny Z. Song, et al.. (2014). BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach. Genome biology. 15(2). R35–R35. 24 indexed citations

11.

Pathan, Nazima, Margarita Burmester, Maurice Berk, et al.. (2011). Intestinal Injury and Endotoxemia in Children Undergoing Surgery for Congenital Heart Disease. American Journal of Respiratory and Critical Care Medicine. 184(11). 1261–1269. 47 indexed citations

12.

Beyan, Huriya, Thomas A. Down, Siarhei Maslau, et al.. (2010). Identification of type 1 diabetes-associated methylation variable positions that precede disease diagnosis. Diabetologia. 53. 2 indexed citations

13.

Martins, Vera, Mei Chen, Karin J. Purdie, et al.. (2009). Increased invasive behaviour in cutaneous squamous cell carcinoma with loss of basement-membrane type VII collagen. Journal of Cell Science. 122(11). 1788–1799. 89 indexed citations

14.

O’Toole, Edel A., David G. Paige, Haitham El Bashir, et al.. (2009). Filaggrin mutations are associated with ichthyosis vulgaris in the Bangladeshi population. British Journal of Dermatology. 160(5). 1113–1115. 8 indexed citations

15.

Yuan, Ming, Romain Lara, Deborah L. Holliday, et al.. (2008). Yes-associated protein (YAP) functions as a tumor suppressor in breast. Cell Death and Differentiation. 15(11). 1752–1759. 271 indexed citations

16.

Thomas, Anna, Nadiya Mahmud, Thomas Cullup, et al.. (2007). Novel and recurring ABCA12 mutations associated with harlequin ichthyosis: implications for prenatal diagnosis. British Journal of Dermatology. 158(3). 611–613. 20 indexed citations

17.

Wallace, Chris, Mingzhan Xue, Stephen Newhouse, et al.. (2006). Linkage Analysis Using Co-Phenotypes in the BRIGHT Study Reveals Novel Potential Susceptibility Loci for Hypertension. The American Journal of Human Genetics. 79(2). 323–331. 21 indexed citations

18.

Munroe, Patricia B., Chris Wallace, Charles A. Mein, et al.. (2005). Enhanced support for linkage to chromosome 5q13.1 and hypertension in the British Genetics of Hypertension (BRIGHT) study.. Hypertension. 46(4). 892–892. 1 indexed citations

19.

Newhouse, Stephen, Chris Wallace, Richard Dobson, et al.. (2005). Haplotypes of the WNK1 gene associate with blood pressure variation in a severely hypertensive population from the British Genetics of Hypertension study. Human Molecular Genetics. 14(13). 1805–1814. 69 indexed citations

20.

Bonga, S.E. Wendelaar, Johannes Greven, Charles A. Mein, & M. Veenhuis. (1976). Morphometrical study with light and electron -microscope o role in ionic regulation of 2 endocrine cell-types in stannius bodies of sticklebacks. General and Comparative Endocrinology. 29(2). 282–282. 2 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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