James Hose
Impact in
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- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
Papers in
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- Fungal and yeast genetics research 11
- Genomics and Phylogenetic Studies 4
- Bioinformatics and Genomic Networks 4
- Gene Regulatory Network Analysis 3
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- Chromosomal and Genetic Variations 5
- Plant Disease Resistance and Genetics 2
- Co-authors
- Audrey P. Gasch (16 shared papers)Joshua J. Coon (4 shared papers)Shane L. Hubler (1 shared paper)Scott Topper (1 shared paper)Craig D. Wenger (1 shared paper)Maria Sardi (3 shared papers)Michael A. Newton (2 shared papers)Zhishi Wang (2 shared papers)
- Journals
- eLife (5 papers)PLoS Genetics (3 papers)Genetics (2 papers)Molecular Systems Biology (2 papers)Cell Genomics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
James Hose
16 papers receiving 800 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 675
- Aging 17
- Genetics 151
- Plant Science 177
- Cell Biology 72
Countries citing papers authored by James Hose
This map shows the geographic impact of James Hose'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 James Hose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Hose more than expected).
Fields of papers citing papers by James Hose
This network shows the impact of papers produced by James Hose. 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 James Hose. The network helps show where James Hose may publish in the future.
Co-authors
The 25 scholars most cited alongside James Hose, 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 | 2011 | 237 | |
| 2 | 2017 | 107 | |
| 3 | 2015 | 100 | |
| 4 | 2011 | 74 | |
| 5 | 2014 | 69 | |
| 6 | 2020 | 48 | |
| 7 | 2018 | 40 | |
| 8 | 2016 | 37 | |
| 9 | 2018 | 32 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 17 | |
| 12 | 2023 | 8 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 1 |
About James Hose
James Hose is a scholar working on Molecular Biology, Plant Science, Genetics, Cell Biology and Aging, having authored 16 papers that have together received 808 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (11 papers), Chromosomal and Genetic Variations (5 papers), Genomics and Phylogenetic Studies (4 papers), Bioinformatics and Genomic Networks (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Gene Regulatory Network Analysis (3 papers), Evolution and Genetic Dynamics (3 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Molecular Biology (675 citations), Aging (17 citations), Genetics (151 citations), Plant Science (177 citations) and Cell Biology (72 citations). James Hose has collaborated with scholars based in United States and Canada. Frequent co-authors include Audrey P. Gasch, Joshua J. Coon, Shane L. Hubler, Scott Topper, Craig D. Wenger, Maria Sardi, Michael A. Newton, Zhishi Wang, Leah E. Escalante and David B. Berry. Their work appears in journals such as eLife, PLoS Genetics, Genetics, Molecular Systems Biology and Cell Genomics.
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.