Zhiguang Su
- Molecular Biology
- Surgery top 10%
- Genetics top 10%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- S Samuel YangXueping ZhangBeverly PaigenYulin FengYulong ChenYin LiuFuqiang WenSizhong Zhang
- Topics
- Pancreatic function and diabetes (12 papers)Adipose Tissue and Metabolism (9 papers)Peroxisome Proliferator-Activated Receptors (8 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Zhiguang Su
97 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 598
- Surgery 281
- Genetics 255
- Physiology 232
- Endocrinology, Diabetes and Metabolism 218
Countries citing papers authored by Zhiguang Su
This map shows the geographic impact of Zhiguang Su'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 Zhiguang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiguang Su more than expected).
Fields of papers citing papers by Zhiguang Su
This network shows the impact of papers produced by Zhiguang Su. 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 Zhiguang Su. The network helps show where Zhiguang Su may publish in the future.
Co-authorship network of co-authors of Zhiguang Su
This figure shows the co-authorship network connecting the top 25 collaborators of Zhiguang Su. A scholar is included among the top collaborators of Zhiguang Su 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 Zhiguang Su. Zhiguang Su 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 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | Risk Factors for Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Industrial Regions of China: A Multicenter Cross-Sectional Study | 1 |
| 8 | Impacts of chronic exercise on human blood fibroblast growth factor 21 levels in normal people: a meta-analysis | 2 |
| 9 | 8 | |
| 10 | [Expression of Engrailed-2 and β-catenin in bladder urothelial carcinoma and their significance]. | 2 |
| 11 | 7 | |
| 12 | 78 | |
| 13 | [A study on the haplotype of the solute carrier family 11 member 1 gene in Tibetan patients with pulmonary tuberculosis in China]. | 4 |
| 14 | 27 | |
| 15 | 14 | |
| 16 | 9 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | Oxygen transfer characteristics in the compact callus aggregates of Rhodiola sachalinensis. | 4 |
About Zhiguang Su
Zhiguang Su is a scholar working on Biochemistry, Genetics and Endocrinology, Diabetes and Metabolism, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Adipose Tissue and Metabolism (9 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (218 citations), Biochemistry (87 citations) and Genetics (255 citations). Zhiguang Su has collaborated with scholars based in China, United States and Iran. Frequent co-authors include S Samuel Yang, Xueping Zhang, Beverly Paigen, Yulin Feng, Yulong Chen, Yin Liu, Fuqiang Wen, Sizhong Zhang, Kang Zhang and Min Xiao. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.
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.