Kevin Sharp
- Genetics top 0.5%
- Genetics and Neurodevelopmental Disorders 8
- Genetic Associations and Epidemiology 6
- Genomic variations and chromosomal abnormalities 2
- Genetic Syndromes and Imprinting 1
- Biological Psychiatry top 5%
- Aging top 5%
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research 6
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 3
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- Language Development and Disorders 2
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- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Lloyd T. ElliottJonathan MarchiniOlivier DelaneauJared O’ConnellPeter DonnellyGil McVeanSamantha WelshAllan Motyer
- Cited by
- GeneticsBiological PsychiatryAging
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kevin Sharp
17 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Genetics 2.7k
- Biological Psychiatry 84
- Aging 43
- Cognitive Neuroscience 465
- Molecular Biology 1.5k
Countries citing papers authored by Kevin Sharp
This map shows the geographic impact of Kevin Sharp'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 Kevin Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Sharp more than expected).
Fields of papers citing papers by Kevin Sharp
This network shows the impact of papers produced by Kevin Sharp. 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 Kevin Sharp. The network helps show where Kevin Sharp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Sharp, 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 | 2024 | 43 | |
| 2 | An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobankbreakdown → | 2021 | 244 |
| 3 | 2021 | 3 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 57 | |
| 7 | 2019 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 21 | |
| 10 | The UK Biobank resource with deep phenotyping and genomic databreakdown → | 2018 | 4399 |
| 11 | Genome-wide association studies of brain imaging phenotypes in UK Biobankbreakdown → | 2018 | 429 |
| 12 | 2018 | 13 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 106 | |
| 15 | 2016 | 12 | |
| 16 | 1990 | 19 | |
| 17 | 1988 | 10 |
About Kevin Sharp
Kevin Sharp is a scholar working on Genetics, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 17 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Genetic Associations and Epidemiology (6 papers), Autism Spectrum Disorder Research (6 papers), Epigenetics and DNA Methylation (3 papers), Language Development and Disorders (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Genetics (2.7k citations), Biological Psychiatry (84 citations) and Aging (43 citations). Kevin Sharp has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Lloyd T. Elliott, Jonathan Marchini, Olivier Delaneau, Jared O’Connell, Peter Donnelly, Gil McVean, Samantha Welsh, Allan Motyer, Adrián Cortés and Clare Bycroft. Their work appears in journals such as Nature, PLoS ONE, Journal of Pineal Research, Nature Genetics and Frontiers in Psychiatry.
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.