Neil A. Youngson

4.6k citations
58 papers · 3.0k indexed · h-index 22
Topics
Epigenetics and DNA Methylation (25 papers)Genetic Syndromes and Imprinting (16 papers)Adipose Tissue and Metabolism (11 papers)
Journals
Proceedings of the National Academy of SciencesNature GeneticsSHILAP Revista de lepidopterología

In The Last Decade

Neil A. Youngson

56 papers receiving 3.0k citations

Peers

Neil A. Youngson
Comparison fields: 5 of 116
  • Molecular Biology 2.1k
  • Genetics 1.3k
  • Pediatrics, Perinatology and Child Health 835
  • Cancer Research 331
  • Physiology 328
Replace Ulrich Zechner with:
Ulrich Zechner Germany
N. Adrian Leu United States
Armin Schumacher United States
Yoichi Gondo Japan
Shin‐ichiro Honda Japan
George L. Wolff United States
N. Henriette Uhlenhaut Germany
Katrina G. Waymire United States
Ryo Maekawa Japan
Joanna L. Elson United Kingdom
Neil A. Youngson relative to Ulrich Zechner Germany Ulrich Zechner's profile →
Citations per field
00.5×1.5×2.1×
Ulrich Zechner · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 8
3 4
4 2
5 4
6 2
7 19
8 14
9 4
10 11
11 21
12 14
13 106
14 8
15 19
16 129
17 19
18 288
19 108
20
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
3

About Neil A. Youngson

Neil A. Youngson is a scholar working on Aging, Pediatrics, Perinatology and Child Health and Genetics, having authored 58 papers that have together received 3.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (25 papers), Genetic Syndromes and Imprinting (16 papers) and Adipose Tissue and Metabolism (11 papers). The work is most often cited by research in Genetics (1.3k citations), Pediatrics, Perinatology and Child Health (835 citations) and Aging (68 citations). Neil A. Youngson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

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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