Yu-qin Yan
- Endocrinology, Diabetes and Metabolism top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Obstetrics and Gynecology top 10%
- Pathology and Forensic Medicine
- Surgery
- Co-authors
- Chen Zu-peiLing DongFengrui WangXingyi JinJun ChenJiayu LiuZhongna SangJun Shen
- Topics
- Thyroid Disorders and Treatments (7 papers)Thyroid Cancer Diagnosis and Treatment (3 papers)Neonatal Health and Biochemistry (2 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismObstetrics and GynecologyPediatrics, Perinatology and Child Health
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yu-qin Yan
19 papers receiving 311 citations
Peers
Comparison fields: 5 of 55
- Endocrinology, Diabetes and Metabolism 226
- Pediatrics, Perinatology and Child Health 107
- Obstetrics and Gynecology 52
- Pathology and Forensic Medicine 50
- Surgery 35
Countries citing papers authored by Yu-qin Yan
This map shows the geographic impact of Yu-qin Yan'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 Yu-qin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-qin Yan more than expected).
Fields of papers citing papers by Yu-qin Yan
This network shows the impact of papers produced by Yu-qin Yan. 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 Yu-qin Yan. The network helps show where Yu-qin Yan may publish in the future.
Co-authorship network of co-authors of Yu-qin Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-qin Yan. A scholar is included among the top collaborators of Yu-qin Yan 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 Yu-qin Yan. Yu-qin Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 66 | |
| 15 | 24 | |
| 16 | 3 | |
| 17 | 90 | |
| 18 | 50 | |
| 19 | [Meta-analysis on the relationship between children's intelligence and factors as iodine deficiency, supplement iodine and excessive iodine]. | 13 |
About Yu-qin Yan
Yu-qin Yan is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 319 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (226 citations), Obstetrics and Gynecology (52 citations) and Pediatrics, Perinatology and Child Health (107 citations). Yu-qin Yan has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chen Zu-pei, Ling Dong, Fengrui Wang, Xingyi Jin, Jun Chen, Jiayu Liu, Zhongna Sang, Jun Shen, Na Zhao and Wen Chen. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Psychology.
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.