Kevin Sharp

15.7k total citations · 3 hit papers
17 papers, 5.4k citations indexed

About

Kevin Sharp is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Kevin Sharp has authored 17 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Kevin Sharp's work include Genetics and Neurodevelopmental Disorders (8 papers), Genetic Associations and Epidemiology (6 papers) and Autism Spectrum Disorder Research (6 papers). Kevin Sharp is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Genetic Associations and Epidemiology (6 papers) and Autism Spectrum Disorder Research (6 papers). Kevin Sharp collaborates with scholars based in United States, United Kingdom and Switzerland. Kevin Sharp's co-authors include Lloyd T. Elliott, Jonathan Marchini, Olivier Delaneau, Jared O’Connell, Peter Donnelly, Gil McVean, Stephen Leslie, Gavin Band, Colin Freeman and A. P. Young and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Kevin Sharp

17 papers receiving 5.3k citations

Hit Papers

The UK Biobank resource with deep phenotyping and genomic... 2018 2026 2020 2023 2018 2018 2021 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin Sharp United States 11 2.7k 1.5k 539 487 465 17 5.4k
Lloyd T. Elliott Canada 10 2.5k 0.9× 1.4k 0.9× 547 1.0× 486 1.0× 584 1.3× 25 5.4k
Brendan Bulik‐Sullivan United States 11 4.4k 1.6× 1.8k 1.2× 540 1.0× 578 1.2× 365 0.8× 14 6.6k
Stephen Leslie United States 21 2.7k 1.0× 1.7k 1.1× 560 1.0× 602 1.2× 202 0.4× 66 6.4k
Adrián Cortés United Kingdom 19 2.6k 1.0× 1.7k 1.1× 515 1.0× 595 1.2× 177 0.4× 30 6.0k
Clare Bycroft United Kingdom 4 2.5k 0.9× 1.7k 1.1× 469 0.9× 478 1.0× 178 0.4× 4 5.2k
Jared O’Connell United Kingdom 9 2.4k 0.9× 1.3k 0.9× 457 0.8× 464 1.0× 181 0.4× 13 4.8k
Gavin Band United Kingdom 7 2.7k 1.0× 1.3k 0.9× 460 0.9× 460 0.9× 183 0.4× 10 5.0k
Samantha Welsh United Kingdom 2 2.2k 0.8× 1.2k 0.8× 459 0.9× 458 0.9× 174 0.4× 5 4.5k
Allan Motyer Australia 7 2.2k 0.8× 1.2k 0.8× 467 0.9× 463 1.0× 171 0.4× 17 4.5k
Mark Effingham United Kingdom 5 2.2k 0.8× 1.2k 0.8× 467 0.9× 473 1.0× 173 0.4× 7 4.6k

Countries citing papers authored by Kevin Sharp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kevin Sharp

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Sharp. A scholar is included among the top collaborators of Kevin Sharp 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 Kevin Sharp. Kevin Sharp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Thompson, Deborah J., Daniel Wells, Saskia Selzam, et al.. (2024). A systematic evaluation of the performance and properties of the UK Biobank Polygenic Risk Score (PRS) Release. PLoS ONE. 19(9). e0307270–e0307270. 43 indexed citations
2.
Smith, Stephen M., Gwenaëlle Douaud, Taylor Hanayik, et al.. (2021). An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank. Nature Neuroscience. 24(5). 737–745. 244 indexed citations breakdown →
3.
Maltman, Nell, Kritika Nayar, Gary E. Martin, et al.. (2021). The Phenotypic Profile Associated With the FMR1 Premutation in Women: An Investigation of Clinical-Behavioral, Social-Cognitive, and Executive Abilities. Frontiers in Psychiatry. 12. 718485–718485. 11 indexed citations
4.
Nayar, Kritika, Nell Maltman, John Sideris, et al.. (2021). A Unique Visual Attention Profile Associated With the FMR1 Premutation. Frontiers in Genetics. 12. 591211–591211. 3 indexed citations
5.
Bowling, Heather, Erin Carmody, Kevin Sharp, et al.. (2020). Optimization of Protocols for Detection of De Novo Protein Synthesis in Whole Blood Samples via Azide–Alkyne Cycloaddition. Journal of Proteome Research. 19(9). 3856–3866. 5 indexed citations
6.
Budimirovic, Dejan B., Annette Schlageter, Stela Filipovic-Sadic, et al.. (2020). A Genotype-Phenotype Study of High-Resolution FMR1 Nucleic Acid and Protein Analyses in Fragile X Patients with Neurobehavioral Assessments. Brain Sciences. 10(10). 694–694. 57 indexed citations
7.
Nayar, Kritika, Abigail L. Hogan, Jamie Barstein, et al.. (2019). Physiological regulation and social-emotional processing in female carriers of the FMR1 premutation. Physiology & Behavior. 214. 112746–112746. 8 indexed citations
8.
Nayar, Kritika, Abigail L. Hogan, Gary E. Martin, et al.. (2019). Language processing skills linked to FMR1 variation: A study of gaze-language coordination during rapid automatized naming among women with the FMR1 premutation. PLoS ONE. 14(7). e0219924–e0219924. 9 indexed citations
9.
Bowling, Heather, Aditi Bhattacharya, Guoan Zhang, et al.. (2019). Altered steady state and activity-dependent de novo protein expression in fragile X syndrome. Nature Communications. 10(1). 1710–1710. 21 indexed citations
10.
Bycroft, Clare, Colin Freeman, Desislava Petkova, et al.. (2018). The UK Biobank resource with deep phenotyping and genomic data. Nature. 562(7726). 203–209. 4399 indexed citations breakdown →
11.
Elliott, Lloyd T., Kevin Sharp, Fidel Alfaro‐Almagro, et al.. (2018). Genome-wide association studies of brain imaging phenotypes in UK Biobank. Nature. 562(7726). 210–216. 429 indexed citations breakdown →
12.
Sharp, Kevin, Elizabeth Berry‐Kravis, Lili Zhou, et al.. (2018). ASFMR1 splice variant. Neurology Genetics. 4(4). e246–e246. 13 indexed citations
13.
Sharp, Kevin, Elizabeth Berry‐Kravis, Lili Zhou, et al.. (2017). Antisense FMR1 splice variant and loss of AGG interruptions are predictors of Fragile X-associated tremor/ataxia syndrome (FXTAS) (P3.002). Neurology. 88(16_supplement). 1 indexed citations
14.
O’Connell, Jared, Kevin Sharp, Nick Shrine, et al.. (2016). Haplotype estimation for biobank-scale data sets. Nature Genetics. 48(7). 817–820. 106 indexed citations
15.
Sharp, Kevin, Warren W. Kretzschmar, Olivier Delaneau, & Jonathan Marchini. (2016). Phasing for medical sequencing using rare variants and large haplotype reference panels. Bioinformatics. 32(13). 1974–1980. 12 indexed citations
16.
Sharp, Kevin, et al.. (1990). Voluntary and involuntary maternal separation in guinea pig pups with mothers required to forage. Developmental Psychobiology. 23(8). 783–796. 19 indexed citations
17.
Sharp, Kevin, et al.. (1988). Alterations of Temperature, Sleepiness, Mood, and Performance in Residents Are Not Associated With Changes in Sulfatoxymelatonin Excretion. Journal of Pineal Research. 5(6). 499–512. 10 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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