Nate Barney
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- RNA modifications and cancer
Papers in
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- Gene Regulatory Network Analysis 3
- Bioinformatics and Genomic Networks 2
- Epigenetics and DNA Methylation 1
- Machine Learning in Bioinformatics 1
- Receptor Mechanisms and Signaling 1
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- Evolutionary Algorithms and Applications 3
- Co-authors
- Jason H. Moore (5 shared papers)Bill C. White (4 shared papers)Fu‐Tien Chiang (2 shared papers)Chia‐Ti Tsai (2 shared papers)Todd Holden (1 shared paper)Joshua C. Gilbert (1 shared paper)Jiang Gui (2 shared papers)Angeline S. Andrew (1 shared paper)
- Journals
- Journal of Theoretical Biology (1 paper)Genetic Epidemiology (1 paper)Human Heredity (1 paper)PubMed (1 paper)Physical Review E (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Nate Barney
5 papers receiving 575 citations
Peers
Comparison fields: 5 of 98
- Genetics 289
- Molecular Biology 341
- Biological Psychiatry 7
- Cancer Research 34
- Rheumatology 32
Countries citing papers authored by Nate Barney
This map shows the geographic impact of Nate Barney'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 Nate Barney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nate Barney more than expected).
Fields of papers citing papers by Nate Barney
This network shows the impact of papers produced by Nate Barney. 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 Nate Barney. The network helps show where Nate Barney may publish in the future.
Co-authors
The 16 scholars most cited alongside Nate Barney, 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 | 2006 | 483 | |
| 2 | 2008 | 67 | |
| 3 | 2007 | 30 | |
| 4 | 2006 | 12 | |
| 5 | 2008 | 2 |
About Nate Barney
Nate Barney is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 594 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (3 papers), Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (2 papers), Genetic Associations and Epidemiology (2 papers), Epigenetics and DNA Methylation (1 paper), Genetic and phenotypic traits in livestock (1 paper), Machine Learning in Bioinformatics (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Genetics (289 citations), Molecular Biology (341 citations), Biological Psychiatry (7 citations), Cancer Research (34 citations) and Rheumatology (32 citations). Nate Barney has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Jason H. Moore, Bill C. White, Fu‐Tien Chiang, Chia‐Ti Tsai, Todd Holden, Joshua C. Gilbert, Jiang Gui, Angeline S. Andrew, Karl T. Kelsey and Margaret R. Karagas. Their work appears in journals such as Journal of Theoretical Biology, Genetic Epidemiology, Human Heredity, PubMed and Physical Review E.
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.