Andrew J. Sharp

13.7k citations
103 papers · 6.6k indexed · 2 hit papers · h-index 39

Andrew J. Sharp

101 papers receiving 6.4k citations

Hit Papers

Fine-scale structural variation of the human genome7422005202620122019200400600

Peers

Andrew J. Sharp
Comparison fields: 5 of 170
  • Genetics 4.1k
  • Molecular Biology 3.7k
  • Pediatrics, Perinatology and Child Health 908
  • Plant Science 1.3k
  • Cancer Research 440
Replace Paweł Stankiewicz with:
Paweł Stankiewicz United States
Rolph Pfundt Netherlands
Lisenka E.L.M. Vissers Netherlands
Lars Feuk Sweden
Giovanni Neri Italy
Bernice E. Morrow United States
Richard Redon France
Sau Wai Cheung United States
Lisa Stubbs United States
Joan H.M. Knoll United States
Andrew J. Sharp relative to Paweł Stankiewicz United States Paweł Stankiewicz's profile →
Citations per field
00.5×1.5×
Paweł Stankiewicz · 1×
Citations per year

Countries citing papers authored by Andrew J. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. 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 Andrew J. Sharp. The network helps show where Andrew J. Sharp may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Andrew J. Sharp, 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 Andrew J. Sharp Line = papers co-authored together Andrew J. Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 202212
3 202279
4 202118
5 202121
6 201949
7 201763
8 2016101
9 201317
10 201225
11 2011219
12 201025
13 201028
14 200812
15 2008207
16 2007185
17 2006231
18
Segmental Duplications and Copy-Number Variation in the Human Genomebreakdown →
2005678
19
LINE repeats are associated with the spread of X inactivation
20022
20 20019

About Andrew J. Sharp

Andrew J. Sharp is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 103 papers that have together received 6.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (33 papers), Epigenetics and DNA Methylation (21 papers), Chromosomal and Genetic Variations (21 papers), Genetic Syndromes and Imprinting (14 papers), Congenital heart defects research (12 papers), Genetic Associations and Epidemiology (12 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Genomics and Rare Diseases (10 papers). The work is most often cited by research in Genetics (4.1k citations), Molecular Biology (3.7k citations) and Pediatrics, Perinatology and Child Health (908 citations). Andrew J. Sharp has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Evan E. Eichler, Ze Cheng, Daniel Pinkel, Donna G. Albertson, Paras Garg, David Robinson, Patricia A. Jacobs, Jeffrey A. Bailey, L.M. Pertz and Corey T. Watson. Their work appears in journals such as PLoS Genetics, Human Genetics, Human Mutation, Human Molecular Genetics and The American Journal of Human Genetics.

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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