Jay Shendure
Impact in
- Genetics top 0.01%
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 141
- Genomics and Rare Diseases 50
- Genomic variations and chromosomal abnormalities 34
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- Single-cell and spatial transcriptomics 58
- Genomics and Phylogenetic Studies 54
- RNA and protein synthesis mechanisms 54
- Genomics and Chromatin Dynamics 51
- CRISPR and Genetic Engineering 49
- RNA Research and Splicing 36
- Co-authors
- Martin Kircher (24 shared papers)Hanlee P. Ji (1 shared paper)Gregory M. Cooper (6 shared papers)Daniela Witten (4 shared papers)Brian J. O’Roak (13 shared papers)Cole Trapnell (30 shared papers)Riza M. Daza (30 shared papers)Choli Lee (35 shared papers)
- Journals
- Nature (29 papers)Nature Genetics (28 papers)The American Journal of Human Genetics (26 papers)Science (22 papers)Nature Methods (19 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jay Shendure
391 papers receiving 81.6k citations
Jay Shendure's Hit Papers
Peers
Comparison fields: 5 of 224
- Genetics 28.5k
- Cancer Research 9.6k
- Molecular Biology 47.0k
- Aging 743
- Biophysics 1.7k
Countries citing papers authored by Jay Shendure
This map shows the geographic impact of Jay Shendure'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 Jay Shendure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Shendure more than expected).
Fields of papers citing papers by Jay Shendure
This network shows the impact of papers produced by Jay Shendure. 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 Jay Shendure. The network helps show where Jay Shendure may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Shendure, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 403 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A general framework for estimating the relative pathogenicity of human genetic variants Hit paper breakdown → | 2014 | 4709 |
| 2 | Next-generation DNA sequencing Hit paper breakdown → | 2008 | 3265 |
| 3 | The single-cell transcriptional landscape of mammalian organogenesis Hit paper breakdown → | 2019 | 2781 |
| 4 | CADD: predicting the deleteriousness of variants throughout the human genome Hit paper breakdown → | 2018 | 2503 |
| 5 | The contribution of de novo coding mutations to autism spectrum disorder Hit paper breakdown → | 2014 | 1929 |
| 6 | Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations Hit paper breakdown → | 2012 | 1728 |
| 7 | Targeted capture and massively parallel sequencing of 12 human exomes Hit paper breakdown → | 2009 | 1544 |
| 8 | Exome sequencing identifies the cause of a mendelian disorder Hit paper breakdown → | 2009 | 1518 |
| 9 | The complete genome sequence of a Neanderthal from the Altai Mountains Hit paper breakdown → | 2013 | 1499 |
| 10 | A High-Coverage Genome Sequence from an Archaic Denisovan Individual Hit paper breakdown → | 2012 | 1392 |
| 11 | Exome sequencing as a tool for Mendelian disease gene discovery Hit paper breakdown → | 2011 | 1314 |
| 12 | Integrative genome analyses identify key somatic driver mutations of small-cell lung cancer Hit paper breakdown → | 2012 | 1157 |
| 13 | Cell-free DNA Comprises an In Vivo Nucleosome Footprint that Informs Its Tissues-Of-Origin Hit paper breakdown → | 2016 | 1127 |
| 14 | Exome sequencing identifies MLL2 mutations as a cause of Kabuki syndrome Hit paper breakdown → | 2010 | 1050 |
| 15 | Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions Hit paper breakdown → | 2013 | 1038 |
| 16 | Multiplex Targeted Sequencing Identifies Recurrently Mutated Genes in Autism Spectrum Disorders Hit paper breakdown → | 2012 | 1017 |
| 17 | Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome Hit paper breakdown → | 2005 | 998 |
| 18 | Comprehensive single-cell transcriptional profiling of a multicellular organism Hit paper breakdown → | 2017 | 965 |
| 19 | Guidelines for investigating causality of sequence variants in human disease Hit paper breakdown → | 2014 | 964 |
| 20 | Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations Hit paper breakdown → | 2011 | 959 |
About Jay Shendure
Jay Shendure is a scholar working on Genetics, Molecular Biology, Cancer Research, Biophysics and Infectious Diseases, having authored 403 papers that have together received 83.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (58 papers), Genomics and Phylogenetic Studies (54 papers), RNA and protein synthesis mechanisms (54 papers), Genomics and Chromatin Dynamics (51 papers), Genomics and Rare Diseases (50 papers), CRISPR and Genetic Engineering (49 papers), RNA Research and Splicing (36 papers) and Genomic variations and chromosomal abnormalities (34 papers). The work is most often cited by research in Genetics (28.5k citations), Cancer Research (9.6k citations), Molecular Biology (47.0k citations), Aging (743 citations) and Biophysics (1.7k citations). Jay Shendure has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Martin Kircher, Hanlee P. Ji, Gregory M. Cooper, Daniela Witten, Brian J. O’Roak, Cole Trapnell, Riza M. Daza, Choli Lee, Deborah A. Nickerson and Michael J. Bamshad. Their work appears in journals such as Nature, Nature Genetics, The American Journal of Human Genetics, Science and Nature Methods.
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.