Yue‐Ie Hsing
- Plant Science top 0.5%
- Molecular Biology top 5%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Biochemistry top 10%
- Co-authors
- Teh‐Yuan ChowHironori ItohMotoyuki AshikariMasatomo KobayashiMasatoshi NakajimaHidemi KitanoEtsuko KatohMakoto Matsuoka
- Topics
- Plant Molecular Biology Research (15 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)Chromosomal and Genetic Variations (10 papers)
- Journals
- NatureNature CommunicationsPLoS ONE
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Yue‐Ie Hsing
61 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Plant Science 2.6k
- Molecular Biology 1.6k
- Genetics 433
- Ecology, Evolution, Behavior and Systematics 198
- Biochemistry 71
Countries citing papers authored by Yue‐Ie Hsing
This map shows the geographic impact of Yue‐Ie Hsing'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 Yue‐Ie Hsing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue‐Ie Hsing more than expected).
Fields of papers citing papers by Yue‐Ie Hsing
This network shows the impact of papers produced by Yue‐Ie Hsing. 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 Yue‐Ie Hsing. The network helps show where Yue‐Ie Hsing may publish in the future.
Co-authorship network of co-authors of Yue‐Ie Hsing
This figure shows the co-authorship network connecting the top 25 collaborators of Yue‐Ie Hsing. A scholar is included among the top collaborators of Yue‐Ie Hsing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yue‐Ie Hsing. Yue‐Ie Hsing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 25 | |
| 5 | 20 | |
| 6 | 4 | |
| 7 | 35 | |
| 8 | 87 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 131 | |
| 12 | Genetic diversity of rice germplasm used in Taiwan breeding programs | 23 |
| 13 | Mapping of quantitative trait loci for plant height and heading date in two inter-subspecific crosses of rice and comparison across Oryza genus. | 13 |
| 14 | Two soybean (Glycine max L.) GmPM proteins reduce liposome leakage during desiccation | 2 |
| 15 | 4 | |
| 16 | Detection of SNPs between Tainung 67 and Nipponbare rice cultivars | 4 |
| 17 | 171 | |
| 18 | 1 | |
| 19 | 10 | |
| 20 | The relationships of cultivated soybeans and their wild relatives collected from Taiwan: revealed by seed proteins | 3 |
About Yue‐Ie Hsing
Yue‐Ie Hsing is a scholar working on Plant Science, Geography, Planning and Development and Genetics, having authored 62 papers that have together received 3.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (15 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Chromosomal and Genetic Variations (10 papers). The work is most often cited by research in Plant Science (2.6k citations), Molecular Biology (1.6k citations) and Genetics (433 citations). Yue‐Ie Hsing has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Teh‐Yuan Chow, Hironori Itoh, Motoyuki Ashikari, Masatomo Kobayashi, Masatoshi Nakajima, Hidemi Kitano, Etsuko Katoh, Makoto Matsuoka, Miyako Ueguchi‐Tanaka and Isomaro Yamaguchi. Their work appears in journals such as Nature, Nature Communications and PLoS ONE.
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.