Sing-Yung Wu

1.8k citations
49 papers · 1.5k · h-index 18

Impact in

Papers in

Sing-Yung Wu

46 papers receiving 1.4k citations

Peers

Sing-Yung Wu
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Endocrine and Autonomic Systems 200
  • Pediatrics, Perinatology and Child Health 349
  • Obstetrics and Gynecology 56
  • Nutrition and Dietetics 91
Replace George C. Schussler with:
George C. Schussler United States
Shih-Lieh Fang United States
Tai Ma China
Simone Magagnin Wajner Brazil
GUADALUPE N. CHUA TECO United States
Richard J. Hershcopf United States
Wendy M. van der Deure Netherlands
Ana M. Masini‐Repiso Argentina
Richard D. Levere United States
Geneviève Escher Switzerland
Sing-Yung Wu relative to George C. Schussler United States George C. Schussler's profile →
Citations per field
00.5×3.3×
George C. Schussler · 1×
Citations per year

Countries citing papers authored by Sing-Yung Wu

Since Specialization
Citations

This map shows the geographic impact of Sing-Yung 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 Sing-Yung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sing-Yung Wu more than expected).

Fields of papers citing papers by Sing-Yung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sing-Yung 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 Sing-Yung Wu. The network helps show where Sing-Yung Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Sing-Yung Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sing-Yung Wu Line = papers co-authored together Sing-Yung Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005204
2 2005157
3 2004132
4 1978107
5 200483
6 197875
7 197869
8 198257
9 197851
10 199242
11 199241
12 197640
13 197637
14 198337
15 198537
16
Carcinoma of the thyroid with a mixed medullary, papillary, follicular, and undifferentiated pattern.
198536
17 198533
18 198627
19 200514
20
Thyroid hormone metabolism : molecular biology and alternate pathways
199414

About Sing-Yung Wu

Sing-Yung Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Molecular Biology, Endocrine and Autonomic Systems and Physiology, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (34 papers), Neonatal Health and Biochemistry (11 papers), Neuroscience of respiration and sleep (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Ion channel regulation and function (5 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Endocrine and Autonomic Systems (200 citations), Pediatrics, Perinatology and Child Health (349 citations), Obstetrics and Gynecology (56 citations) and Nutrition and Dietetics (91 citations). Sing-Yung Wu has collaborated with scholars based in United States, Taiwan and Ireland. Frequent co-authors include INDER J. CHOPRA, David H. Solomon, Wen-Sheng Huang, Delbert A. Fisher, William L. Green, Leslie R. Bennett, Marguerite T. Hays, Theo J. Visser, Valerie Anne Galton and J.S. Chopra. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Pediatric Research, Endocrinology, Thyroid and European Journal of Endocrinology.

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.

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