Xiaoguang Shi
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Oncology
- Pathology and Forensic Medicine top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Weiping TengZhongyan ShanCheng HanYongze LiLei ZhaoXinghai XiaXue HeGuangwu Zhu
- Topics
- Thyroid Disorders and Treatments (20 papers)Thyroid Cancer Diagnosis and Treatment (18 papers)Vitamin D Research Studies (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPathology and Forensic MedicineEndocrine and Autonomic Systems
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiaoguang Shi
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 131
- Endocrinology, Diabetes and Metabolism 859
- Molecular Biology 342
- Oncology 158
- Pathology and Forensic Medicine 154
- Pediatrics, Perinatology and Child Health 143
Countries citing papers authored by Xiaoguang Shi
This map shows the geographic impact of Xiaoguang Shi'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 Xiaoguang Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoguang Shi more than expected).
Fields of papers citing papers by Xiaoguang Shi
This network shows the impact of papers produced by Xiaoguang Shi. 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 Xiaoguang Shi. The network helps show where Xiaoguang Shi may publish in the future.
Co-authorship network of co-authors of Xiaoguang Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoguang Shi. A scholar is included among the top collaborators of Xiaoguang Shi 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 Xiaoguang Shi. Xiaoguang Shi 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 | 0 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 50 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 65 | |
| 10 | 23 | |
| 11 | 11 | |
| 12 | 17 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 188 | |
| 18 | 180 | |
| 19 | 26 | |
| 20 | 17 |
About Xiaoguang Shi
Xiaoguang Shi is a scholar working on Endocrinology, Diabetes and Metabolism, Biological Psychiatry and Pathology and Forensic Medicine, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (20 papers), Thyroid Cancer Diagnosis and Treatment (18 papers) and Vitamin D Research Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (859 citations), Pathology and Forensic Medicine (154 citations) and Endocrine and Autonomic Systems (56 citations). Xiaoguang Shi has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Weiping Teng, Zhongyan Shan, Cheng Han, Yongze Li, Lei Zhao, Xinghai Xia, Xue He, Guangwu Zhu, Rengyun Liu and Shen Qu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.