Oliver Lyttleton

2.5k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Oliver Lyttleton is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Oliver Lyttleton has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Oliver Lyttleton's work include Epigenetics and DNA Methylation (9 papers), Birth, Development, and Health (7 papers) and Health, Environment, Cognitive Aging (7 papers). Oliver Lyttleton is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Birth, Development, and Health (7 papers) and Health, Environment, Cognitive Aging (7 papers). Oliver Lyttleton collaborates with scholars based in United Kingdom, United States and Germany. Oliver Lyttleton's co-authors include Susan M. Ring, Wendy L. McArdle, George Davey Smith, Caroline L. Relton, Tom R. Gaunt, Andrew J. Simpkin, Geoff Woodward, Kate Tilling, Hashem A. Shihab and Rebecca C. Richmond and has published in prestigious journals such as PLoS ONE, Diabetes and Human Molecular Genetics.

In The Last Decade

Oliver Lyttleton

16 papers receiving 1.5k citations

Hit Papers

Systematic identification of genetic influences on methyl... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Lyttleton United Kingdom 10 973 733 291 284 166 16 1.5k
Julia L. MacIsaac Canada 20 728 0.7× 497 0.7× 199 0.7× 129 0.5× 125 0.8× 59 1.3k
Geoff Woodward United Kingdom 8 702 0.7× 423 0.6× 285 1.0× 242 0.9× 67 0.4× 12 1.2k
Rudolf P. Talens Netherlands 5 1.0k 1.1× 686 0.9× 379 1.3× 108 0.4× 203 1.2× 5 1.5k
William P. Accomando United States 9 2.0k 2.0× 567 0.8× 580 2.0× 271 1.0× 80 0.5× 14 2.4k
Matthew A. Maccani United States 17 767 0.8× 888 1.2× 188 0.6× 298 1.0× 467 2.8× 20 1.7k
Alexandra M. Binder United States 20 802 0.8× 535 0.7× 239 0.8× 356 1.3× 177 1.1× 49 1.5k
Jenny van Dongen Netherlands 21 642 0.7× 307 0.4× 511 1.8× 89 0.3× 44 0.3× 66 1.6k
Kunio Miyake Japan 20 564 0.6× 178 0.2× 291 1.0× 188 0.7× 66 0.4× 87 1.3k
Margarita Craen Belgium 23 523 0.5× 530 0.7× 473 1.6× 110 0.4× 112 0.7× 72 1.8k
Rosie M. Walker United Kingdom 21 878 0.9× 259 0.4× 286 1.0× 124 0.4× 31 0.2× 59 1.4k

Countries citing papers authored by Oliver Lyttleton

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Lyttleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver Lyttleton. 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 Oliver Lyttleton. The network helps show where Oliver Lyttleton may publish in the future.

Co-authorship network of co-authors of Oliver Lyttleton

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

All Works

16 of 16 papers shown
1.
Gaunt, Tom R., Hashem A. Shihab, Gibran Hemani, et al.. (2016). Systematic identification of genetic influences on methylation across the human life course. Genome biology. 17(1). 61–61. 351 indexed citations breakdown →
2.
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
3.
Richardson, Tom G., Hashem A. Shihab, Gibran Hemani, et al.. (2016). Collapsed methylation quantitative trait loci analysis for low frequency and rare variants. Human Molecular Genetics. 25(19). 4339–4349. 8 indexed citations
4.
Simpkin, Andrew J., Laura D Howe, Kate Tilling, et al.. (2016). The epigenetic clock and physical development during childhood and adolescence: longitudinal analysis from a UK birth cohort. International Journal of Epidemiology. 46(2). dyw307–dyw307. 100 indexed citations
5.
Simpkin, Andrew J., Gibran Hemani, Matthew Suderman, et al.. (2015). Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies. Human Molecular Genetics. 25(1). 191–201. 144 indexed citations
6.
Relton, Caroline L., Tom R. Gaunt, Wendy L. McArdle, et al.. (2015). Data Resource Profile: Accessible Resource for Integrated Epigenomic Studies (ARIES). International Journal of Epidemiology. 44(4). 1181–1190. 180 indexed citations
7.
Simpkin, Andrew J., Matthew Suderman, Tom R. Gaunt, et al.. (2015). Longitudinal analysis of DNA methylation associated with birth weight and gestational age. Human Molecular Genetics. 24(13). 3752–3763. 98 indexed citations
8.
Sharp, Gemma C., Debbie A. Lawlor, Rebecca C. Richmond, et al.. (2015). Maternal pre-pregnancy BMI and gestational weight gain, offspring DNA methylation and later offspring adiposity: findings from the Avon Longitudinal Study of Parents and Children. International Journal of Epidemiology. 44(4). 1288–1304. 194 indexed citations
9.
Tilling, Kate, Laura D Howe, Tom R. Gaunt, et al.. (2015). OP77 The epigenetic clock and development during childhood and adolescence: longitudinal analysis from a UK birth cohort. Oral Presentations. A43.1–A43. 1 indexed citations
10.
Richmond, Rebecca C., Andrew J. Simpkin, Geoff Woodward, et al.. (2014). Prenatal exposure to maternal smoking and offspring DNA methylation across the lifecourse: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC). Human Molecular Genetics. 24(8). 2201–2217. 257 indexed citations
11.
Duncan, Niall W., Christine Wiebking, Brice Tiret, et al.. (2013). Glutamate Concentration in the Medial Prefrontal Cortex Predicts Resting-State Cortical-Subcortical Functional Connectivity in Humans. PLoS ONE. 8(4). e60312–e60312. 85 indexed citations
12.
Duncan, Niall W., Christine Wiebking, Brice Tiret, et al.. (2013). Correction: Glutamate Concentration in the Medial Prefrontal Cortex Predicts Resting-State Cortical-Subcortical Functional Connectivity in Humans. PLoS ONE. 8(6). 12 indexed citations
13.
Lyttleton, Oliver, Alexander Wright, Darren Treanor, & Paul D. Lewis. (2011). Using XML to encode TMA DES metadata. Journal of Pathology Informatics. 2(1). 40–40. 3 indexed citations
14.
Wright, Alexander, Oliver Lyttleton, Paul D. Lewis, Philip Quirke, & Darren Treanor. (2011). The tissue microarray data exchange specification: Extending TMA DES to provide flexible scoring and incorporate virtual slides. Journal of Pathology Informatics. 2(1). 15–15. 4 indexed citations
15.
Lyttleton, Oliver, Alexander Wright, Darren Treanor, Philip Quirke, & Paul D. Lewis. (2011). Extending the tissue microarray data exchange specification for inclusion of data analysis results. Journal of Pathology Informatics. 2(1). 17–17. 2 indexed citations
16.
Lyttleton, Oliver, et al.. (2005). Mediating between heterogeneous ontologies using schema matching techniques. 247–252. 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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