Neil A. Youngson

4.6k total citations
58 papers, 3.0k citations indexed

About

Neil A. Youngson is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Neil A. Youngson has authored 58 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 21 papers in Genetics and 15 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Neil A. Youngson's work include Epigenetics and DNA Methylation (25 papers), Genetic Syndromes and Imprinting (16 papers) and Adipose Tissue and Metabolism (11 papers). Neil A. Youngson is often cited by papers focused on Epigenetics and DNA Methylation (25 papers), Genetic Syndromes and Imprinting (16 papers) and Adipose Tissue and Metabolism (11 papers). Neil A. Youngson collaborates with scholars based in Australia, United Kingdom and United States. Neil A. Youngson's co-authors include Emma Whitelaw, Anne C. Ferguson‐Smith, Margaret J. Morris, Martina Paulsen, Shau‐Ping Lin, Jérôme Cavaillé, Hervé Seitz, Philip Leder, Fen Zhou and Mitsuteru Ito and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Neil A. Youngson

56 papers receiving 3.0k citations

Peers

Neil A. Youngson
N. Adrian Leu United States
Hugh D. Morgan Australia
Armin Schumacher United States
Reinhard Stöger United Kingdom
George L. Wolff United States
Travis J. Maures United States
Colum P. Walsh United Kingdom
Neil A. Youngson
Citations per year, relative to Neil A. Youngson Neil A. Youngson (= 1×) peers Ulrich Zechner

Countries citing papers authored by Neil A. Youngson

Since Specialization
Citations

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

Fields of papers citing papers by Neil A. Youngson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil A. Youngson

This figure shows the co-authorship network connecting the top 25 collaborators of Neil A. Youngson. A scholar is included among the top collaborators of Neil A. Youngson 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 Neil A. Youngson. Neil A. Youngson 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.
Qu, Zhipeng, Te‐Sha Tsai, Neil A. Youngson, et al.. (2024). Fetal growth delay caused by loss of non-canonical imprinting is resolved late in pregnancy and culminates in offspring overgrowth. eLife. 13. 4 indexed citations
2.
Weinberg‐Shukron, Ariella, Neil A. Youngson, Anne C. Ferguson‐Smith, & Carol A. Edwards. (2023). Epigenetic control and genomic imprinting dynamics of the Dlk1-Dio3 domain. Frontiers in Cell and Developmental Biology. 11. 1328806–1328806. 8 indexed citations
3.
Youngson, Neil A., Susan Corley, Justin C. St. John, et al.. (2022). Ancestral dietary change alters the development of Drosophila larvae through MAPK signalling. Fly. 16(1). 298–310. 4 indexed citations
4.
Youngson, Neil A., et al.. (2022). A role for a novel natural antisense-BDNF in the maintenance of nicotine-seeking. SHILAP Revista de lepidopterología. 2. 100010–100010. 2 indexed citations
5.
Laybutt, D. Ross, et al.. (2022). Concurrent betaine administration enhances exercise-induced improvements to glucose handling in obese mice. Nutrition Metabolism and Cardiovascular Diseases. 32(10). 2439–2449. 4 indexed citations
6.
Ferrari, Fabrizio, Daniele Prati, Flora Peyvandi, et al.. (2022). Reduced circulating FABP2 in patients with moderate to severe COVID-19 may indicate enterocyte functional change rather than cell death. Scientific Reports. 12(1). 18792–18792. 2 indexed citations
7.
Chandrasekaran, Sriram, Stanley Ng, Aikaterini Tourna, et al.. (2022). Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease. Genome Medicine. 14(1). 67–67. 19 indexed citations
8.
Laybutt, D. Ross, Lynn‐Jee Kim, Lake‐Ee Quek, et al.. (2021). Exercise-induced benefits on glucose handling in a model of diet-induced obesity are reduced by concurrent nicotinamide mononucleotide. American Journal of Physiology-Endocrinology and Metabolism. 321(1). E176–E189. 14 indexed citations
9.
Yamashita, Hironori, Aikaterini Tourna, Masayuki Akita, et al.. (2021). Epigenetic upregulation of TET2 is an independent poor prognostic factor for intrahepatic cholangiocarcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 480(5). 1077–1085. 4 indexed citations
10.
Bertoldo, Michael J., Golam M. Uddin, Neil A. Youngson, et al.. (2018). Multigenerational obesity-induced perturbations in oocyte-secreted factor signalling can be ameliorated by exercise and nicotinamide mononucleotide. Human Reproduction Open. 2018(3). hoy010–hoy010. 11 indexed citations
11.
Uddin, Golam M., et al.. (2018). Long-term behavioural effects of maternal obesity in C57BL/6J mice. Physiology & Behavior. 199. 306–313. 21 indexed citations
12.
Baker‐Andresen, Danay, Vikram S. Ratnu, Kevin V. Morris, et al.. (2017). Persistent histone modifications at the BDNF and Cdk‐5 promoters following extinction of nicotine‐seeking in rats. Genes Brain & Behavior. 17(2). 98–106. 14 indexed citations
14.
Youngson, Neil A., Trevor Epp, Lucia Daxinger, et al.. (2013). No evidence for cumulative effects in a Dnmt3b hypomorph across multiple generations. Mammalian Genome. 24(5-6). 206–217. 8 indexed citations
15.
Youngson, Neil A., Nicola Vickaryous, Armando van der Horst, et al.. (2011). A missense mutation in the transcription factor Foxo3a causes teratomas and oocyte abnormalities in mice. Mammalian Genome. 22(3-4). 235–248. 19 indexed citations
16.
Chong, Suyinn, Nicola Vickaryous, Alyson Ashe, et al.. (2007). Modifiers of epigenetic reprogramming show paternal effects in the mouse. Nature Genetics. 39(5). 614–622. 129 indexed citations
17.
Ferguson‐Smith, Anne C., et al.. (2003). Genomic imprinting—insights from studies in mice. Seminars in Cell and Developmental Biology. 14(1). 43–49. 19 indexed citations
18.
Seitz, Hervé, Neil A. Youngson, Shau‐Ping Lin, et al.. (2003). Imprinted microRNA genes transcribed antisense to a reciprocally imprinted retrotransposon-like gene. Nature Genetics. 34(3). 261–262. 288 indexed citations
19.
Paulsen, Martina, Shuji Takada, Neil A. Youngson, et al.. (2001). Comparative Sequence Analysis of the Imprinted Dlk1–Gtl2 Locus in Three Mammalian Species Reveals Highly Conserved Genomic Elements and Refines Comparison with the Igf2–H19 Region. Genome Research. 11(12). 2085–2094. 108 indexed citations
20.
Paulsen, Martina, et al.. (2001). Comparative sequence analysis of the imprinted Dlk1-Gtl2 locus in three mammalian species reveals highly conserved genomic elements and refines comparison with the Igf2-H19 region. HAL (Le Centre pour la Communication Scientifique Directe). 3 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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