Jih‐Tay Hsu
- Agronomy and Crop Science top 2%
- Molecular Biology
- Genetics top 10%
- Plant Science
- Food Science top 5%
- Co-authors
- Chingwen YingG. C. FaheyHan‐Tsung WangClive A. SlaughterMelanie H. CobbCarolyn R. MoomawJoie RowlesL.D. Satter
- Topics
- Ruminant Nutrition and Digestive Physiology (15 papers)Genetic and phenotypic traits in livestock (10 papers)Phytoestrogen effects and research (7 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaAmerican Journal of Psychiatry
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jih‐Tay Hsu
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 132
- Agronomy and Crop Science 339
- Molecular Biology 313
- Genetics 198
- Plant Science 171
- Food Science 162
Countries citing papers authored by Jih‐Tay Hsu
This map shows the geographic impact of Jih‐Tay Hsu'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 Jih‐Tay Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jih‐Tay Hsu more than expected).
Fields of papers citing papers by Jih‐Tay Hsu
This network shows the impact of papers produced by Jih‐Tay Hsu. 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 Jih‐Tay Hsu. The network helps show where Jih‐Tay Hsu may publish in the future.
Co-authorship network of co-authors of Jih‐Tay Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Jih‐Tay Hsu. A scholar is included among the top collaborators of Jih‐Tay Hsu 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 Jih‐Tay Hsu. Jih‐Tay Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 29 | |
| 8 | 114 | |
| 9 | 19 | |
| 10 | 17 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 60 | |
| 15 | 12 | |
| 16 | 14 | |
| 17 | 37 | |
| 18 | Effect of protein and starch degradation rates on rumen metabolism in Taiwan native goat. | 2 |
| 19 | 6 | |
| 20 | 29 |
About Jih‐Tay Hsu
Jih‐Tay Hsu is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (15 papers), Genetic and phenotypic traits in livestock (10 papers) and Phytoestrogen effects and research (7 papers). The work is most often cited by research in Agronomy and Crop Science (339 citations), Molecular Medicine (67 citations) and Animal Science and Zoology (131 citations). Jih‐Tay Hsu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chingwen Ying, G. C. Fahey, Han‐Tsung Wang, Clive A. Slaughter, Melanie H. Cobb, Carolyn R. Moomaw, Joie Rowles, L.D. Satter, Wei‐Liang Chao and Keith A. Garleb. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and American Journal of Psychiatry.
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.