Xingyi Jin
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Surgery
- Pathology and Forensic Medicine
- Obstetrics and Gynecology
- Topics
- Thyroid Disorders and Treatments (6 papers)Thyroid Cancer Diagnosis and Treatment (5 papers)Gestational Diabetes Research and Management (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismObstetrics and GynecologyPathology and Forensic Medicine
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Xingyi Jin
16 papers receiving 303 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 236
- Epidemiology 44
- Surgery 43
- Pathology and Forensic Medicine 40
- Obstetrics and Gynecology 40
Countries citing papers authored by Xingyi Jin
This map shows the geographic impact of Xingyi Jin'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 Xingyi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyi Jin more than expected).
Fields of papers citing papers by Xingyi Jin
This network shows the impact of papers produced by Xingyi Jin. 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 Xingyi Jin. The network helps show where Xingyi Jin may publish in the future.
Co-authorship network of co-authors of Xingyi Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Xingyi Jin. A scholar is included among the top collaborators of Xingyi Jin 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 Xingyi Jin. Xingyi Jin 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 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 49 | |
| 7 | 4 | |
| 8 | 15 | |
| 9 | 44 | |
| 10 | [Toxoplasma gondii infection in pet dogs and owners in Hangzhou]. | 2 |
| 11 | 6 | |
| 12 | 60 | |
| 13 | [The iodine status in Hangzhou, Zhejiang province 2010]. | 5 |
| 14 | 90 | |
| 15 | Survey of Sparganum mansoni infection in frogs and snakes in Hangzhou. | 7 |
| 16 | Trimester-specific reference data of thyroid hormones for normal pregnancy | 6 |
| 17 | [Epidemiologic characters of diabetic mellitus in urban and rural community in 2003 in Hangzhou City]. | 3 |
About Xingyi Jin
Xingyi Jin is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Parasitology, having authored 17 papers that have together received 309 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Gestational Diabetes Research and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (236 citations), Obstetrics and Gynecology (40 citations) and Pathology and Forensic Medicine (40 citations). Xingyi Jin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yangmei Huang, Weimin Xu, Yunxian Yu, Zexin Chen, Shanchun Zhang, Jin Deng, Fengrui Wang, Chen Zu-pei, Ling Dong and Yu-qin Yan. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Nutrients.
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.