Emily M LeProust
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies 8
- CRISPR and Genetic Engineering 7
- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 4
- Advanced biosensing and bioanalysis techniques 4
- RNA modifications and cancer 4
- Gene expression and cancer classification 3
- Genetics top 1%
- Genomics and Rare Diseases 4
- Cancer Research top 2%
- Aging top 5%
- Sensory Systems top 5%
- Co-authors
- George M. ChurchJin Billy LiBin XieYuan GaoGeorge Q. DaleyIn‐Hyun ParkSiyuan ChenKun Zhang
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Emily M LeProust
39 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 6.1k
- Genetics 1.5k
- Cancer Research 762
- Aging 42
- Sensory Systems 103
Countries citing papers authored by Emily M LeProust
This map shows the geographic impact of Emily M LeProust'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 Emily M LeProust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily M LeProust more than expected).
Fields of papers citing papers by Emily M LeProust
This network shows the impact of papers produced by Emily M LeProust. 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 Emily M LeProust. The network helps show where Emily M LeProust may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emily M LeProust, 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 | 2021 | 2 | |
| 2 | 2019 | 3 | |
| 3 | 2019 | 32 | |
| 4 | Mapping long-range promoter contacts in human cells with high-resolution capture Hi-Cbreakdown → | 2015 | 623 |
| 5 | 2013 | 203 | |
| 6 | Towards practical, high-capacity, low-maintenance information storage in synthesized DNAbreakdown → | 2013 | 738 |
| 7 | 2013 | 260 | |
| 8 | Overview of the Agilent Technologies SureSelectTM Target Enrichment System | 2011 | 2 |
| 9 | 2011 | 1 | |
| 10 | 2011 | 14 | |
| 11 | 2011 | 43 | |
| 12 | 2011 | 212 | |
| 13 | 2009 | 434 | |
| 14 | 2009 | 51 | |
| 15 | 2009 | 84 | |
| 16 | 2009 | 357 | |
| 17 | Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencingbreakdown → | 2009 | 983 |
| 18 | Targeted and genome-scale strategies reveal gene-body methylation signatures in human cellsbreakdown → | 2009 | 824 |
| 19 | The DNA-encoded nucleosome organization of a eukaryotic genomebreakdown → | 2008 | 908 |
| 20 | 2007 | 295 |
About Emily M LeProust
Emily M LeProust is a scholar working on Molecular Biology, Sensory Systems and Genetics, having authored 39 papers that have together received 7.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), CRISPR and Genetic Engineering (7 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Rare Diseases (4 papers), Genomics and Chromatin Dynamics (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA modifications and cancer (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Molecular Biology (6.1k citations), Genetics (1.5k citations) and Cancer Research (762 citations). Emily M LeProust has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include George M. Church, Jin Billy Li, Bin Xie, Yuan Gao, George Q. Daley, In‐Hyun Park, Siyuan Chen, Kun Zhang, Paul Bertone and Nick Goldman. Their work appears in journals such as Nature, Science and Cell.
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.