Jay Shendure

122.9k citations
297 papers · 52.4k indexed · 38 hit papers · h-index 115
  • Genetics top 0.01%
    • Genomics and Rare Diseases 26
  • Cancer Research top 0.05%
    • RNA and protein synthesis mechanisms 55
    • Genomics and Chromatin Dynamics 54
    • Single-cell and spatial transcriptomics 51
    • Genomics and Phylogenetic Studies 51
    • CRISPR and Genetic Engineering 44
    • RNA Research and Splicing 38
    • RNA modifications and cancer 31
  • Aging top 0.2%
  • Biophysics top 0.1%

Jay Shendure

291 papers receiving 51.6k citations

Hit Papers

Pluripoten...134200520262012201950010001.5k2.0k

Peers

Jay Shendure
Comparison fields: 5 of 207
  • Genetics 17.1k
  • Cancer Research 8.2k
  • Molecular Biology 36.0k
  • Aging 598
  • Biophysics 1.4k
Replace Rafael A. Irizarry with:
Rafael A. Irizarry United States
B Bernstein United States
Mark Gerstein United States
Mark D. Robinson Switzerland
R Myers United States
Lior Pachter United States
Wolf Reik United Kingdom
Robert Tjian United States
Richard A. Young United States
John C. Matese United States
Jay Shendure relative to Rafael A. Irizarry United States Rafael A. Irizarry's profile →
Citations per field
00.5×1.5×2.1×
Rafael A. Irizarry · 1×
Citations per year

Countries citing papers authored by Jay Shendure

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jay Shendure Line = papers co-authored together Jay Shendure links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20235
4 202245
5 202216
6 202136
7 202116
8 2021170
9 2019129
10 2019198
11 201919
12 201850
13 2017380
14
Whole-organism lineage tracing by combinatorial and cumulative genome editingbreakdown →
2016477
15 2016218
16 201681
17 201329
18 2013127
19
Analysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencingbreakdown →
2010722
20
Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genomebreakdown →
2005860

About Jay Shendure

Jay Shendure is a scholar working on Aging, Molecular Biology and Genetics, having authored 297 papers that have together received 52.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (55 papers), Genomics and Chromatin Dynamics (54 papers), Single-cell and spatial transcriptomics (51 papers), Genomics and Phylogenetic Studies (51 papers), CRISPR and Genetic Engineering (44 papers), RNA Research and Splicing (38 papers), RNA modifications and cancer (31 papers) and Genomics and Rare Diseases (26 papers). The work is most often cited by research in Genetics (17.1k citations), Cancer Research (8.2k citations) and Molecular Biology (36.0k citations). Jay Shendure has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Hanlee P. Ji, Martin Kircher, Gregory M. Cooper, Daniela Witten, Brian J. O’Roak, Cole Trapnell, Riza M. Daza, Choli Lee, Andrew C. Adey and Deborah A. Nickerson. Their work appears in journals such as Nature, Science, Nature Biotechnology, Nature Genetics and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026