S. Y. Wu
- Endocrinology, Diabetes and Metabolism top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Endocrine and Autonomic Systems top 5%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Co-authors
- D A FisherDaniel H. PolkCaroline DelahuntyHans van ToorFerruccio SantiniRobert HumeFiona WilliamsJudith Simpson
- Topics
- Thyroid Disorders and Treatments (13 papers)Birth, Development, and Health (7 papers)Neonatal Health and Biochemistry (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsPediatrics, Perinatology and Child Health
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismJournal of Applied Physiology
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
S. Y. Wu
24 papers receiving 551 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 350
- Pediatrics, Perinatology and Child Health 247
- Endocrine and Autonomic Systems 108
- Pulmonary and Respiratory Medicine 103
- Molecular Biology 99
Countries citing papers authored by S. Y. Wu
This map shows the geographic impact of S. Y. Wu'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 S. Y. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Y. Wu more than expected).
Fields of papers citing papers by S. Y. Wu
This network shows the impact of papers produced by S. Y. Wu. 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 S. Y. Wu. The network helps show where S. Y. Wu may publish in the future.
Co-authorship network of co-authors of S. Y. Wu
This figure shows the co-authorship network connecting the top 25 collaborators of S. Y. Wu. A scholar is included among the top collaborators of S. Y. Wu 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 S. Y. Wu. S. Y. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 67 | |
| 6 | 94 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 34 | |
| 11 | 24 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 30 | |
| 15 | 8 | |
| 16 | 21 | |
| 17 | 20 | |
| 18 | 15 | |
| 19 | 31 | |
| 20 | Atlas of nuclear medicine imaging | 15 |
About S. Y. Wu
S. Y. Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 573 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (13 papers), Birth, Development, and Health (7 papers) and Neonatal Health and Biochemistry (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (350 citations), Endocrine and Autonomic Systems (108 citations) and Pediatrics, Perinatology and Child Health (247 citations). S. Y. Wu has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include D A Fisher, Daniel H. Polk, Caroline Delahunty, Hans van Toor, Ferruccio Santini, Robert Hume, Fiona Williams, Judith Simpson, Theo J. Visser and I J Chopra. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Journal of Applied Physiology.
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.