S Youngman

3.8k citations
16 papers · 577 indexed · h-index 14

Impact in

Papers in

    • Genetic Neurodegenerative Diseases 13
    • CRISPR and Genetic Engineering 6
    • DNA Repair Mechanisms 5
    • Mitochondrial Function and Pathology 2
    • Biochemical and Molecular Research 1
    • RNA and protein synthesis mechanisms 1

S Youngman

16 papers receiving 560 citations

Peers

S Youngman
Comparison fields: 5 of 54
  • Cellular and Molecular Neuroscience 348
  • Genetics 201
  • Molecular Biology 424
  • Neurology 83
  • Aging 5
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S Youngman relative to Tetsushi Yamagata Japan Tetsushi Yamagata's profile →
Citations per field
00.5×3.1×
Tetsushi Yamagata · 1×
Citations per year

Countries citing papers authored by S Youngman

Since Specialization
Citations

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

Fields of papers citing papers by S Youngman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S Youngman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S Youngman Line = papers co-authored together S Youngman links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 198979
2 198970
3
Defined physical limits of the Huntington disease gene candidate region.
199159
4
A yeast artificial chromosome telomere clone spanning a possible location of the Huntington disease gene.
199056
5 198755
6 199641
7 199140
8
Evidence from family studies that the gene causing Huntington disease is telomeric to D4S95 and D4S90.
198940
9 199228
10 198925
11 198623
12 198523
13 198817
14 198814
15 19886
16 19881

About S Youngman

S Youngman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 16 papers that have together received 577 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (13 papers), CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (5 papers), Mitochondrial Function and Pathology (2 papers), Cystic Fibrosis Research Advances (1 paper), Plant nutrient uptake and metabolism (1 paper), Biochemical and Molecular Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (348 citations), Genetics (201 citations), Molecular Biology (424 citations), Neurology (83 citations) and Aging (5 citations). S Youngman has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Peter S. Harper, John J. Wasmuth, James F. Gusella, Oliver Quarrell, Marcy E. MacDonald, William L. Whaley, Duncan J. Shaw, Hans Lehrach, Sarah Baxendale and Gillian P. Bates. Their work appears in journals such as Journal of Medical Genetics, Genomics, FEBS Letters, The Lancet and Neuron.

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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