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
-
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Machine Learning in Bioinformatics
Papers in
-
- Gene Regulatory Network Analysis 4
- Bioinformatics and Genomic Networks 3
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Receptor Mechanisms and Signaling 1
-
- Evolutionary Algorithms and Applications 5
- Co-authors
- Jason H. Moore (7 shared papers)Bill C. White (6 shared papers)Chia‐Ti Tsai (2 shared papers)Fu‐Tien Chiang (2 shared papers)Todd Holden (1 shared paper)Joshua C. Gilbert (1 shared paper)Jiang Gui (2 shared papers)Heather H. Nelson (1 shared paper)
- Journals
- Human Heredity (1 paper)Genetic Epidemiology (1 paper)Journal of Theoretical Biology (1 paper)Lecture notes in computer science (1 paper)PubMed (1 paper)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Nate Barney
7 papers receiving 639 citations
Nate Barney's Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 298
- Molecular Biology 311
- Cancer Research 32
- Artificial Intelligence 65
- Psychiatry and Mental health 24
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 17 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 | A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility Hit paper breakdown → | 2006 | 510 |
| 2 | 2008 | 69 | |
| 3 | 2007 | 39 | |
| 4 | 2008 | 23 | |
| 5 | 2006 | 13 | |
| 6 | 2007 | 7 | |
| 7 | 2008 | 3 |
About Nate Barney
Nate Barney is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 664 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (5 papers), Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (3 papers), Evolution and Genetic Dynamics (2 papers), Genetic Associations and Epidemiology (2 papers), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Genetics (298 citations), Molecular Biology (311 citations), Cancer Research (32 citations), Artificial Intelligence (65 citations) and Psychiatry and Mental health (24 citations). Nate Barney has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Jason H. Moore, Bill C. White, Chia‐Ti Tsai, Fu‐Tien Chiang, Todd Holden, Joshua C. Gilbert, Jiang Gui, Heather H. Nelson, Angeline S. Andrew and Margaret R. Karagas. Their work appears in journals such as Human Heredity, Genetic Epidemiology, Journal of Theoretical Biology, Lecture notes in computer science and PubMed.
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.