Yi Hou
Impact in
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- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Plant Virus Research Studies
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- Animal Genetics and Reproduction
Papers in
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- CRISPR and Genetic Engineering 3
- Machine Learning in Bioinformatics 1
- Biochemical and Structural Characterization 1
- Sphingolipid Metabolism and Signaling 1
- TGF-β signaling in diseases 1
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- Plant Virus Research Studies 2
- Chromosomal and Genetic Variations 2
- Plant-Microbe Interactions and Immunity 1
- Co-authors
- Daniel F. Voytas (2 shared papers)Hirotaka Ebina (1 shared paper)Henry L. Levin (1 shared paper)Xiang Gao (1 shared paper)Yi‐Lin Yan (2 shared papers)Zhaomin Zhong (2 shared papers)Mingyong Wang (2 shared papers)Guodong Huang (2 shared papers)
- Journals
- Scientific Reports (1 paper)Biomedicine & Pharmacotherapy (1 paper)Genome Research (1 paper)Science Bulletin (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Hou
8 papers receiving 348 citations
Peers
Comparison fields: 5 of 61
- Plant Science 153
- Genetics 115
- Endocrinology 18
- Molecular Biology 231
- Business and International Management 6
Countries citing papers authored by Yi Hou
This map shows the geographic impact of Yi Hou'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 Yi Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Hou more than expected).
Fields of papers citing papers by Yi Hou
This network shows the impact of papers produced by Yi Hou. 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 Yi Hou. The network helps show where Yi Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Hou, 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 | 2008 | 147 | |
| 2 | 2016 | 132 | |
| 3 | 2020 | 35 | |
| 4 | 2017 | 20 | |
| 5 | 2023 | 8 | |
| 6 | 2010 | 6 | |
| 7 | 2025 | 3 | |
| 8 | 2016 | 1 |
About Yi Hou
Yi Hou is a scholar working on Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Ecology, Evolution, Behavior and Systematics, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Plant Virus Research Studies (2 papers), Chromosomal and Genetic Variations (2 papers), Machine Learning in Bioinformatics (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Biochemical and Structural Characterization (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Plant Science (153 citations), Genetics (115 citations), Endocrinology (18 citations), Molecular Biology (231 citations) and Business and International Management (6 citations). Yi Hou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Daniel F. Voytas, Hirotaka Ebina, Henry L. Levin, Xiang Gao, Yi‐Lin Yan, Zhaomin Zhong, Mingyong Wang, Guodong Huang, Pengfei Niu and Xiaona Xu. Their work appears in journals such as Scientific Reports, Biomedicine & Pharmacotherapy, Genome Research, Science Bulletin and Frontiers in Pharmacology.
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.