David B. Jaffe
Impact in
- Genetics top 0.1%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetic diversity and population structure
- Molecular Biology top 0.05%
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
Papers in
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- Algebraic Geometry and Number Theory 11
-
- Genomics and Phylogenetic Studies 27
- Co-authors
- Eric S. Lander (9 shared papers)Chad Nusbaum (9 shared papers)Andrey Sivachenko (2 shared papers)Stacey L. Gabriel (2 shared papers)Gad A. Getz (2 shared papers)Scott L. Carter (2 shared papers)Matthew Meyerson (2 shared papers)Andreas Gnirke (5 shared papers)
- Journals
- Nature (19 papers)Genome biology (5 papers)Nature Genetics (3 papers)Mathematische Annalen (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
David B. Jaffe
63 papers receiving 43.2k citations
David B. Jaffe's Hit Papers
Peers
Comparison fields: 5 of 194
- Genetics 11.6k
- Molecular Biology 20k
- Cancer Research 3.7k
- Plant Science 5.5k
- Cell Biology 1.2k
Countries citing papers authored by David B. Jaffe
This map shows the geographic impact of David B. Jaffe'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 David B. Jaffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. Jaffe more than expected).
Fields of papers citing papers by David B. Jaffe
This network shows the impact of papers produced by David B. Jaffe. 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 David B. Jaffe. The network helps show where David B. Jaffe may publish in the future.
Co-authors
The 25 scholars most cited alongside David B. Jaffe, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A map of human genome variation from population-scale sequencing Hit paper breakdown → | 2010 | 6377 |
| 2 | Initial sequencing and comparative analysis of the mouse genome Hit paper breakdown → | 2002 | 5353 |
| 3 | Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project Hit paper breakdown → | 2007 | 4026 |
| 4 | Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples Hit paper breakdown → | 2013 | 3822 |
| 5 | Genome-wide maps of chromatin state in pluripotent and lineage-committed cells Hit paper breakdown → | 2007 | 3252 |
| 6 | Genome-scale DNA methylation maps of pluripotent and differentiated cells Hit paper breakdown → | 2008 | 2000 |
| 7 | Genome sequence, comparative analysis and haplotype structure of the domestic dog Hit paper breakdown → | 2005 | 1983 |
| 8 | Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype Hit paper breakdown → | 2004 | 1614 |
| 9 | Evolution of genes and genomes on the Drosophila phylogeny Hit paper breakdown → | 2007 | 1594 |
| 10 | The genome sequence of the filamentous fungus Neurospora crassa Hit paper breakdown → | 2003 | 1392 |
| 11 | High-quality draft assemblies of mammalian genomes from massively parallel sequence data Hit paper breakdown → | 2010 | 1211 |
| 12 | Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencing Hit paper breakdown → | 2009 | 1147 |
| 13 | Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis Hit paper breakdown → | 2006 | 995 |
| 14 | Genome Sequence of Aedes aegypti , a Major Arbovirus Vector Hit paper breakdown → | 2007 | 922 |
| 15 | Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries Hit paper breakdown → | 2011 | 886 |
| 16 | A high-resolution map of human evolutionary constraint using 29 mammals Hit paper breakdown → | 2011 | 834 |
| 17 | The genomic substrate for adaptive radiation in African cichlid fish Hit paper breakdown → | 2014 | 764 |
| 18 | Characterizing and measuring bias in sequence data Hit paper breakdown → | 2013 | 661 |
| 19 | The African coelacanth genome provides insights into tetrapod evolution Hit paper breakdown → | 2013 | 558 |
| 20 | 2013 | 498 |
About David B. Jaffe
David B. Jaffe is a scholar working on Geometry and Topology, Molecular Biology, Genetics, Plant Science and Artificial Intelligence, having authored 63 papers that have together received 44.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (27 papers), Algebraic Geometry and Number Theory (11 papers), Chromosomal and Genetic Variations (10 papers), Coding theory and cryptography (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Genomics and Rare Diseases (5 papers), Diptera species taxonomy and behavior (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Genetics (11.6k citations), Molecular Biology (20k citations), Cancer Research (3.7k citations), Plant Science (5.5k citations) and Cell Biology (1.2k citations). David B. Jaffe has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Eric S. Lander, Chad Nusbaum, Andrey Sivachenko, Stacey L. Gabriel, Gad A. Getz, Scott L. Carter, Matthew Meyerson, Andreas Gnirke, Carrie L. Sougnez and Michael S. Lawrence. Their work appears in journals such as Nature, Genome biology, Nature Genetics, Mathematische Annalen and Proceedings of the National Academy of Sciences.
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.