Sheau Yu Hsu
- Molecular Biology top 2%
- Public Health, Environmental and Occupational Health top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Reproductive Medicine top 0.5%
- Genetics top 2%
- Co-authors
- Aaron J.W. HsuehKoji NakabayashiChia Lin ChangMasataka KudoJin KumagaiJaesook RohShinya NishiAntti Kaipia
- Topics
- Neuropeptides and Animal Physiology (17 papers)Cell death mechanisms and regulation (14 papers)Pregnancy-related medical research (14 papers)
- Cited by
- Behavioral NeuroscienceReproductive MedicinePublic Health, Environmental and Occupational Health
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Sheau Yu Hsu
81 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 2.9k
- Public Health, Environmental and Occupational Health 2.3k
- Cellular and Molecular Neuroscience 1.2k
- Reproductive Medicine 1.0k
- Genetics 947
Countries citing papers authored by Sheau Yu Hsu
This map shows the geographic impact of Sheau Yu 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 Sheau Yu Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheau Yu Hsu more than expected).
Fields of papers citing papers by Sheau Yu Hsu
This network shows the impact of papers produced by Sheau Yu 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 Sheau Yu Hsu. The network helps show where Sheau Yu Hsu may publish in the future.
Co-authorship network of co-authors of Sheau Yu Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Sheau Yu Hsu. A scholar is included among the top collaborators of Sheau Yu 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 Sheau Yu Hsu. Sheau Yu 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 | 2 | |
| 2 | 20 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 31 | |
| 8 | 68 | |
| 9 | 103 | |
| 10 | 28 | |
| 11 | 16 | |
| 12 | 119 | |
| 13 | 99 | |
| 14 | 12 | |
| 15 | 134 | |
| 16 | 329 | |
| 17 | 26 | |
| 18 | 73 | |
| 19 | 20 | |
| 20 | 155 |
About Sheau Yu Hsu
Sheau Yu Hsu is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 83 papers that have together received 6.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Cell death mechanisms and regulation (14 papers) and Pregnancy-related medical research (14 papers). The work is most often cited by research in Behavioral Neuroscience (548 citations), Reproductive Medicine (1.0k citations) and Public Health, Environmental and Occupational Health (2.3k citations). Sheau Yu Hsu has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Aaron J.W. Hsueh, Koji Nakabayashi, Chia Lin Chang, Masataka Kudo, Jin Kumagai, Jaesook Roh, Shinya Nishi, Antti Kaipia, Jeehyeon Bae and O. D. Sherwood. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.