Eric Yao
Impact in
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Genetics and Plant Breeding
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
-
- Wheat and Barley Genetics and Pathology 5
- Plant Disease Resistance and Genetics 3
- Chromosomal and Genetic Variations 2
- Phytase and its Applications 1
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- Genomics and Phylogenetic Studies 2
- Co-authors
- Ian Holmes (5 shared papers)Mónica Muñoz-Torres (2 shared papers)Suzanna Lewis (3 shared papers)Christine G. Elsik (3 shared papers)Colin Diesh (2 shared papers)Robert Buels (3 shared papers)Gregg Helt (1 shared paper)David Goodstein (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Database (2 papers)Scientific Data (2 papers)Genetics (1 paper)Crop and Pasture Science (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Eric Yao
10 papers receiving 796 citations
Eric Yao's Hit Papers
Peers
Comparison fields: 5 of 81
- Plant Science 317
- Molecular Biology 466
- Genetics 158
- Endocrinology 23
- Cancer Research 44
Countries citing papers authored by Eric Yao
This map shows the geographic impact of Eric Yao'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 Eric Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Yao more than expected).
Fields of papers citing papers by Eric Yao
This network shows the impact of papers produced by Eric Yao. 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 Eric Yao. The network helps show where Eric Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Yao, 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 | JBrowse: a dynamic web platform for genome visualization and analysis Hit paper breakdown → | 2016 | 527 |
| 2 | 2019 | 138 | |
| 3 | 2022 | 56 | |
| 4 | 2019 | 53 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2020 | 2 | |
| 9 | 2017 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 |
About Eric Yao
Eric Yao is a scholar working on Plant Science, Molecular Biology, Nutrition and Dietetics, Genetics and Agronomy and Crop Science, having authored 11 papers that have together received 802 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (5 papers), Plant Disease Resistance and Genetics (3 papers), Food composition and properties (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genomics and Phylogenetic Studies (2 papers), Chromosomal and Genetic Variations (2 papers), Crop Yield and Soil Fertility (1 paper) and Phytase and its Applications (1 paper). The work is most often cited by research in Plant Science (317 citations), Molecular Biology (466 citations), Genetics (158 citations), Endocrinology (23 citations) and Cancer Research (44 citations). Eric Yao has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ian Holmes, Mónica Muñoz-Torres, Suzanna Lewis, Christine G. Elsik, Colin Diesh, Robert Buels, Gregg Helt, David Goodstein, Lincoln Stein and Richard D. Hayes. Their work appears in journals such as PLoS Computational Biology, Database, Scientific Data, Genetics and Crop and Pasture Science.
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.