Caroline L. Relton

45.5k total citations · 3 hit papers
252 papers, 15.5k citations indexed

About

Caroline L. Relton is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Caroline L. Relton has authored 252 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Molecular Biology, 100 papers in Pediatrics, Perinatology and Child Health and 73 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Caroline L. Relton's work include Epigenetics and DNA Methylation (139 papers), Birth, Development, and Health (91 papers) and Health, Environment, Cognitive Aging (72 papers). Caroline L. Relton is often cited by papers focused on Epigenetics and DNA Methylation (139 papers), Birth, Development, and Health (91 papers) and Health, Environment, Cognitive Aging (72 papers). Caroline L. Relton collaborates with scholars based in United Kingdom, United States and Netherlands. Caroline L. Relton's co-authors include George Davey Smith, Tom R. Gaunt, Gibran Hemani, Philip Haycock, Kaitlin H. Wade, Richard M. Martin, Stephen Burgess, Ryan Langdon, Jack Bowden and Nicholas J. Timpson and has published in prestigious journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Caroline L. Relton

247 papers receiving 15.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The MR-Base platform supports systematic causal inference across the human phenome

2018 4.4k citations Gibran Hemani, Jie Zheng et al. profile →
Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies

2016 356 citations Philip Haycock, Kaitlin H. Wade et al. profile →
Systematic identification of genetic influences on methylation across the human life course

2016 351 citations Tom R. Gaunt, Hashem A. Shihab et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caroline L. Relton United Kingdom	61	6.8k	4.6k	3.7k	1.7k	1.5k	252	15.5k
Tom R. Gaunt United Kingdom	47	5.6k 0.8×	5.4k 1.2×	1.7k 0.5×	1.5k 0.9×	1.5k 1.0×	200	13.8k
Nicholas J. Timpson United Kingdom	62	5.2k 0.8×	9.3k 2.0×	2.1k 0.6×	3.2k 1.9×	3.1k 2.0×	250	22.6k
Harold Snieder Netherlands	65	2.9k 0.4×	3.1k 0.7×	1.8k 0.5×	1.6k 0.9×	1.5k 1.0×	404	15.4k
Anders Juul Denmark	90	8.3k 1.2×	5.6k 1.2×	5.0k 1.3×	2.7k 1.6×	1.4k 0.9×	655	29.8k
Bastiaan T. Heijmans Netherlands	48	5.3k 0.8×	2.3k 0.5×	3.8k 1.0×	1.4k 0.8×	478 0.3×	125	9.7k
Gibran Hemani United Kingdom	40	4.7k 0.7×	8.3k 1.8×	1.2k 0.3×	1.8k 1.1×	2.1k 1.4×	110	16.4k
David M. Evans United Kingdom	57	4.3k 0.6×	6.2k 1.4×	1.1k 0.3×	1.6k 0.9×	2.0k 1.3×	277	15.4k
Carmen J. Marsit United States	71	10.8k 1.6×	2.3k 0.5×	5.0k 1.3×	773 0.5×	727 0.5×	360	18.7k
Jean Wactawski‐Wende United States	77	2.7k 0.4×	4.5k 1.0×	1.3k 0.3×	2.9k 1.7×	1.3k 0.8×	467	21.5k
Philip Haycock United Kingdom	22	3.4k 0.5×	6.2k 1.3×	1.1k 0.3×	2.1k 1.2×	1.9k 1.3×	38	13.1k

Countries citing papers authored by Caroline L. Relton

Since Specialization

Citations

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

Fields of papers citing papers by Caroline L. Relton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline L. Relton. 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 Caroline L. Relton. The network helps show where Caroline L. Relton may publish in the future.

Co-authorship network of co-authors of Caroline L. Relton

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mhatre, Sharayu, Fiona Bragg, Nandkumar Panse, et al.. (2024). Cohort Profile: Indian Study of Healthy Ageing (ISHA-Barshi). International Journal of Epidemiology. 53(4). 1 indexed citations

Howell, Amy, Caroline L. Relton, Richard M. Martin, Jie Zheng, & Kathreena M. Kurian. (2023). Role of DNA methylation in the relationship between glioma risk factors and glioma incidence: a two-step Mendelian randomization study. Scientific Reports. 13(1). 6590–6590. 5 indexed citations

Sharp, Gemma C., et al.. (2023). Investigating causality in the association between DNA methylation and type 2 diabetes using bidirectional two-sample Mendelian randomisation. Diabetologia. 66(7). 1247–1259. 12 indexed citations

Barbu, Miruna C., Carmen Amador, Alex S. F. Kwong, et al.. (2022). Complex trait methylation scores in the prediction of major depressive disorder. EBioMedicine. 79. 104000–104000. 4 indexed citations

Mulder, Rosa H., Alexander Neumann, Charlotte A. M. Cecil, et al.. (2021). Epigenome-wide change and variation in DNA methylation in childhood: trajectories from birth to late adolescence. Human Molecular Genetics. 30(1). 119–134. 69 indexed citations

Marioni, Riccardo E., Carolina Ochoa‐Rosales, Tom C. Russ, et al.. (2021). DNA methylation of blood cells is associated with prevalent type 2 diabetes in a meta-analysis of four European cohorts. Clinical Epigenetics. 13(1). 40–40. 41 indexed citations

Rijlaarsdam, Jolien, Charlotte A. M. Cecil, Caroline L. Relton, & Edward D. Barker. (2021). Epigenetic profiling of social communication trajectories and co-occurring mental health problems: a prospective, methylome-wide association study. Development and Psychopathology. 34(3). 854–863. 9 indexed citations

McBride, Nancy, Paul Yousefi, Ulla Sovio, et al.. (2021). Do Mass Spectrometry-Derived Metabolomics Improve the Prediction of Pregnancy-Related Disorders? Findings from a UK Birth Cohort with Independent Validation. Metabolites. 11(8). 530–530. 8 indexed citations

Dardani, Christina, Laurence J Howe, Nandita Mukhopadhyay, et al.. (2020). Cleft lip/palate and educational attainment: cause, consequence or correlation? A Mendelian randomization study. International Journal of Epidemiology. 49(4). 1282–1293. 23 indexed citations

10.

Hartwig, Fernando Pires, George Davey Smith, Andrew J. Simpkin, et al.. (2020). Association between Breastfeeding and DNA Methylation over the Life Course: Findings from the Avon Longitudinal Study of Parents and Children (ALSPAC). Nutrients. 12(11). 3309–3309. 13 indexed citations

11.

Yarmolinsky, James, Caroline L. Relton, Artitaya Lophatananon, et al.. (2019). Appraising the role of previously reported risk factors in epithelial ovarian cancer risk: A Mendelian randomization analysis. PLoS Medicine. 16(8). e1002893–e1002893. 58 indexed citations

12.

Walton, Esther, Caroline L. Relton, & Doretta Caramaschi. (2019). Using Openly Accessible Resources to Strengthen Causal Inference in Epigenetic Epidemiology of Neurodevelopment and Mental Health. Genes. 10(3). 193–193. 13 indexed citations

13.

Roberts, Susanna, Matthew Suderman, Stanley Zammit, et al.. (2019). Longitudinal investigation of DNA methylation changes preceding adolescent psychotic experiences. Translational Psychiatry. 9(1). 69–69. 12 indexed citations

14.

Arathimos, Ryan, Raquel Granell, Philip Haycock, et al.. (2019). Genetic and observational evidence supports a causal role of sex hormones on the development of asthma. Thorax. 74(7). 633–642. 26 indexed citations

15.

Yarmolinsky, James, Kaitlin H. Wade, Rebecca C. Richmond, et al.. (2018). Causal Inference in Cancer Epidemiology: What Is the Role of Mendelian Randomization?. Cancer Epidemiology Biomarkers & Prevention. 27(9). 995–1010. 105 indexed citations

16.

Ambatipudi, Srikant, Ryan Langdon, Rebecca C. Richmond, et al.. (2018). DNA methylation derived systemic inflammation indices are associated with head and neck cancer development and survival. Oral Oncology. 85. 87–94. 12 indexed citations

17.

Caramaschi, Doretta, Amy E. Taylor, Rebecca C. Richmond, et al.. (2018). Maternal smoking during pregnancy and autism: using causal inference methods in a birth cohort study. Translational Psychiatry. 8(1). 262–262. 32 indexed citations

18.

Richmond, Rebecca C., Gemma C. Sharp, Abigail Fraser, et al.. (2016). DNA Methylation and BMI: Investigating Identified Methylation Sites at HIF3A in a Causal Framework. Diabetes. 65(5). 1231–1244. 69 indexed citations

19.

Zheng, Jie, Philip Haycock, Gibran Hemani, et al.. (2016). LD hub and MR-base: online platforms for preforming LD score regression and Mendelian randomization analysis using GWAS summary data. Behavior Genetics. 46(6). 815–815. 5 indexed citations

20.

Elliott, Hannah R., Therese Tillin, Nish Chaturvedi, et al.. (2013). DNA methylation, cardio metabolic risk and type 2 diabetes in south Asians and Europeans. Bristol Research (University of Bristol). 1 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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