Zhirong Guo
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology
- Cardiology and Cardiovascular Medicine top 10%
- Topics
- Peroxisome Proliferator-Activated Receptors (22 papers)Liver Disease Diagnosis and Treatment (17 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Zhirong Guo
62 papers receiving 839 citations
Peers
Comparison fields: 5 of 109
- Epidemiology 291
- Endocrinology, Diabetes and Metabolism 259
- Molecular Biology 219
- Physiology 174
- Cardiology and Cardiovascular Medicine 167
Countries citing papers authored by Zhirong Guo
This map shows the geographic impact of Zhirong Guo'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 Zhirong Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhirong Guo more than expected).
Fields of papers citing papers by Zhirong Guo
This network shows the impact of papers produced by Zhirong Guo. 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 Zhirong Guo. The network helps show where Zhirong Guo may publish in the future.
Co-authorship network of co-authors of Zhirong Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Zhirong Guo. A scholar is included among the top collaborators of Zhirong Guo 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 Zhirong Guo. Zhirong Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 17 | |
| 5 | 40 | |
| 6 | 19 | |
| 7 | 4 | |
| 8 | 19 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 17 | |
| 12 | [Association of both peroxisome proliferator-activated receptor, gene-gene interactions and the lipid accumulation product]. | 2 |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 31 | |
| 16 | [Impact of lifestyle and obesity to the risk of type 2 diabetes: a prospective study in Jiangsu province]. | 1 |
| 17 | Continuous metabolic syndrome risk score for predicting cardiovascular disease in the Chinese population. | 20 |
| 18 | 19 | |
| 19 | 12 | |
| 20 | [A comparison between the metabolic syndrome score and the Framingham risk score in the prediction of cardiovascular disease]. | 4 |
About Zhirong Guo
Zhirong Guo is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 64 papers that have together received 850 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (22 papers), Liver Disease Diagnosis and Treatment (17 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Epidemiology (291 citations) and Hepatology (63 citations). Zhirong Guo has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Ming Wu, Xiao‐shu Hu, Zhengyuan Zhou, Chen Dong, Wenshu Luo, Fang Liu, Zumin Shi, Akhtar Hussain, Hui Zuo and Lijun Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.
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.