Chad Nusbaum
Impact in
- Molecular Biology top 0.01%
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Gut microbiota and health
- Epigenetics and DNA Methylation
- Fungal and yeast genetics research
- RNA Research and Splicing
- Genetics top 0.05%
- Genetic Associations and Epidemiology
Papers in
-
- Genomics and Phylogenetic Studies 36
- Genomics and Chromatin Dynamics 12
- Epigenetics and DNA Methylation 6
- Genetics 26
- Genomic variations and chromosomal abnormalities 8
- Genetic Associations and Epidemiology 7
- Genomics and Rare Diseases 6
- Co-authors
- Bradley Bernstein (3 shared papers)David S. Johnson (1 shared paper)Yong Zhang (1 shared paper)X. Shirley Liu (1 shared paper)Jérôme Eeckhoute (1 shared paper)Wei Li (1 shared paper)Clifford A. Meyer (1 shared paper)Richard M. Myers (1 shared paper)
- Journals
- Nature (18 papers)Genome biology (15 papers)Science (8 papers)Nature Genetics (5 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Chad Nusbaum
116 papers receiving 100.9k citations
Chad Nusbaum's Hit Papers
Peers
Comparison fields: 5 of 225
- Molecular Biology 51.6k
- Genetics 16.1k
- Plant Science 17.8k
- Cancer Research 4.1k
- Immunology 3.8k
Countries citing papers authored by Chad Nusbaum
This map shows the geographic impact of Chad Nusbaum'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 Chad Nusbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Nusbaum more than expected).
Fields of papers citing papers by Chad Nusbaum
This network shows the impact of papers produced by Chad Nusbaum. 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 Chad Nusbaum. The network helps show where Chad Nusbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Nusbaum, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Initial sequencing and analysis of the human genome Hit paper breakdown → | 2001 | 17743 |
| 2 | Full-length transcriptome assembly from RNA-Seq data without a reference genome Hit paper breakdown → | 2011 | 16492 |
| 3 | Model-based Analysis of ChIP-Seq (MACS) Hit paper breakdown → | 2008 | 13255 |
| 4 | Structure, function and diversity of the healthy human microbiome Hit paper breakdown → | 2012 | 9323 |
| 5 | Initial sequencing and comparative analysis of the mouse genome Hit paper breakdown → | 2002 | 5353 |
| 6 | Genome-wide maps of chromatin state in pluripotent and lineage-committed cells Hit paper breakdown → | 2007 | 3252 |
| 7 | A Draft Sequence of the Neandertal Genome Hit paper breakdown → | 2010 | 2953 |
| 8 | A framework for human microbiome research Hit paper breakdown → | 2012 | 2110 |
| 9 | Genome-scale DNA methylation maps of pluripotent and differentiated cells Hit paper breakdown → | 2008 | 2000 |
| 10 | Large-Scale Identification, Mapping, and Genotyping of Single-Nucleotide Polymorphisms in the Human Genome Hit paper breakdown → | 1998 | 1644 |
| 11 | Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype Hit paper breakdown → | 2004 | 1614 |
| 12 | The genome sequence of the filamentous fungus Neurospora crassa Hit paper breakdown → | 2003 | 1392 |
| 13 | The genome sequence of the rice blast fungus Magnaporthe grisea Hit paper breakdown → | 2005 | 1373 |
| 14 | Genome sequence and analysis of the Irish potato famine pathogen Phytophthora infestans Hit paper breakdown → | 2009 | 1217 |
| 15 | High-quality draft assemblies of mammalian genomes from massively parallel sequence data Hit paper breakdown → | 2010 | 1211 |
| 16 | Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencing Hit paper breakdown → | 2009 | 1147 |
| 17 | Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry Hit paper breakdown → | 2019 | 1023 |
| 18 | Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs Hit paper breakdown → | 2010 | 1018 |
| 19 | Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis Hit paper breakdown → | 2006 | 995 |
| 20 | Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak Hit paper breakdown → | 2014 | 964 |
About Chad Nusbaum
Chad Nusbaum is a scholar working on Molecular Biology, Genetics, Plant Science, Rheumatology and Paleontology, having authored 116 papers that have together received 103.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (36 papers), Genomics and Chromatin Dynamics (12 papers), Chromosomal and Genetic Variations (8 papers), Plant Pathogens and Resistance (8 papers), Genomic variations and chromosomal abnormalities (8 papers), Genetic Associations and Epidemiology (7 papers), Genomics and Rare Diseases (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Molecular Biology (51.6k citations), Genetics (16.1k citations), Plant Science (17.8k citations), Cancer Research (4.1k citations) and Immunology (3.8k citations). Chad Nusbaum has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Bradley Bernstein, David S. Johnson, Yong Zhang, X. Shirley Liu, Jérôme Eeckhoute, Wei Li, Clifford A. Meyer, Richard M. Myers, Myles Brown and Andreas Gnirke. Their work appears in journals such as Nature, Genome biology, Science, Nature Genetics and PLoS ONE.
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.