S Youngman
Impact in
-
- Genetic Neurodegenerative Diseases
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
Papers in
-
- Genetic Neurodegenerative Diseases 13
-
- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 5
- Mitochondrial Function and Pathology 2
- Co-authors
- Peter S. Harper (11 shared papers)John J. Wasmuth (8 shared papers)Oliver Quarrell (7 shared papers)James F. Gusella (9 shared papers)Marcy E. MacDonald (6 shared papers)William L. Whaley (4 shared papers)Hans Lehrach (5 shared papers)Duncan J. Shaw (4 shared papers)
- Journals
- Journal of Medical Genetics (3 papers)Genomics (2 papers)Human Genetics (1 paper)Obstetrical & Gynecological Survey (1 paper)Neuron (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
S Youngman
16 papers receiving 572 citations
Peers
Comparison fields: 5 of 53
- Cellular and Molecular Neuroscience 358
- Genetics 201
- Neurology 91
- Molecular Biology 432
- Aging 6
Countries citing papers authored by S Youngman
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 81 | |
| 2 | 1989 | 72 | |
| 3 | Defined physical limits of the Huntington disease gene candidate region. | 1991 | 62 |
| 4 | 1987 | 58 | |
| 5 | A yeast artificial chromosome telomere clone spanning a possible location of the Huntington disease gene. | 1990 | 57 |
| 6 | 1991 | 42 | |
| 7 | Evidence from family studies that the gene causing Huntington disease is telomeric to D4S95 and D4S90. | 1989 | 42 |
| 8 | 1996 | 41 | |
| 9 | 1992 | 29 | |
| 10 | 1989 | 27 | |
| 11 | 1986 | 23 | |
| 12 | 1985 | 23 | |
| 13 | 1988 | 17 | |
| 14 | 1988 | 14 | |
| 15 | 1988 | 7 | |
| 16 | 1988 | 1 |
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 596 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), Folate and B Vitamins Research (1 paper), Genomics and Rare Diseases (1 paper), Neurological disorders and treatments (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (358 citations), Genetics (201 citations), Neurology (91 citations), Molecular Biology (432 citations) and Aging (6 citations). S Youngman has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Peter S. Harper, John J. Wasmuth, Oliver Quarrell, James F. Gusella, Marcy E. MacDonald, William L. Whaley, Hans Lehrach, Duncan J. Shaw, Sarah Baxendale and Gillian P. Bates. Their work appears in journals such as Journal of Medical Genetics, Genomics, Human Genetics, Obstetrical & Gynecological Survey 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.