Eric Yao
Impact in
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
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- Wheat and Barley Genetics and Pathology 5
- Plant Disease Resistance and Genetics 3
- Chromosomal and Genetic Variations 2
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- Genomics and Phylogenetic Studies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Ian Holmes (5 shared papers)Christine G. Elsik (3 shared papers)Mónica Muñoz-Torres (2 shared papers)Colin Diesh (2 shared papers)Suzanna Lewis (3 shared papers)Gregg Helt (1 shared paper)Robert Buels (3 shared papers)Richard D. Hayes (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Scientific Data (2 papers)Database (2 papers)Genetics (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Eric Yao
10 papers receiving 752 citations
Eric Yao's Hit Papers
Peers
Comparison fields: 5 of 84
- Plant Science 321
- Molecular Biology 498
- Genetics 169
- Endocrinology 28
- Cancer Research 48
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 | 503 |
| 2 | 2019 | 134 | |
| 3 | 2022 | 49 | |
| 4 | 2019 | 47 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 4 | |
| 7 | 2020 | 2 | |
| 8 | 2017 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2022 | 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 757 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (5 papers), Genomics and Phylogenetic Studies (3 papers), Plant Disease Resistance and Genetics (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Chromosomal and Genetic Variations (2 papers), Food composition and properties (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Plant Science (321 citations), Molecular Biology (498 citations), Genetics (169 citations), Endocrinology (28 citations) and Cancer Research (48 citations). Eric Yao has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ian Holmes, Christine G. Elsik, Mónica Muñoz-Torres, Colin Diesh, Suzanna Lewis, Gregg Helt, Robert Buels, Richard D. Hayes, Lincoln Stein and David Goodstein. Their work appears in journals such as PLoS Computational Biology, Scientific Data, Database, Genetics and Genome biology.
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.