Kuo Zhang
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Cell Biology top 10%
- Co-authors
- Wenyao WangYi‐Da TangChunli ShaoJie YangXiangbin MengJun GaoChuanyue WuYaw Bia Tan
- Topics
- Cardiac Imaging and Diagnostics (8 papers)Thyroid Disorders and Treatments (8 papers)Wastewater Treatment and Nitrogen Removal (8 papers)
- Cited by
- Biological PsychiatryEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kuo Zhang
82 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 418
- Cardiology and Cardiovascular Medicine 259
- Endocrinology, Diabetes and Metabolism 252
- Epidemiology 192
- Cell Biology 125
Countries citing papers authored by Kuo Zhang
This map shows the geographic impact of Kuo Zhang'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 Kuo Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo Zhang more than expected).
Fields of papers citing papers by Kuo Zhang
This network shows the impact of papers produced by Kuo Zhang. 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 Kuo Zhang. The network helps show where Kuo Zhang may publish in the future.
Co-authorship network of co-authors of Kuo Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuo Zhang. A scholar is included among the top collaborators of Kuo Zhang 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 Kuo Zhang. Kuo Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | The Impact of the Stress Hyperglycemia Ratio on Short-term and Long-term Poor Prognosis in Patients With Acute Coronary Syndrome: Insight From a Large Cohort Study in Asiabreakdown → | 131 |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 4 | |
| 17 | 68 | |
| 18 | 8 | |
| 19 | 36 | |
| 20 | 1 |
About Kuo Zhang
Kuo Zhang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (8 papers), Thyroid Disorders and Treatments (8 papers) and Wastewater Treatment and Nitrogen Removal (8 papers). The work is most often cited by research in Biological Psychiatry (54 citations), Endocrinology, Diabetes and Metabolism (252 citations) and Cardiology and Cardiovascular Medicine (259 citations). Kuo Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wenyao Wang, Yi‐Da Tang, Chunli Shao, Jie Yang, Xiangbin Meng, Jun Gao, Chuanyue Wu, Yaw Bia Tan, Dahai Luo and Yitian Zheng. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
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.