Guangrong Wang
- Molecular Biology
- Physiology
- Cardiology and Cardiovascular Medicine
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Michael E. MendelsohnYan ZhuPerry V. HalushkaThomas LincolnBuqing CaoJianxun LiuMingdong TangZibin Zheng
- Topics
- Protein Kinase Regulation and GTPase Signaling (4 papers)Service-Oriented Architecture and Web Services (4 papers)Caching and Content Delivery (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guangrong Wang
23 papers receiving 522 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 146
- Physiology 125
- Cardiology and Cardiovascular Medicine 103
- Information Systems 69
- Computer Networks and Communications 52
Countries citing papers authored by Guangrong Wang
This map shows the geographic impact of Guangrong Wang'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 Guangrong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangrong Wang more than expected).
Fields of papers citing papers by Guangrong Wang
This network shows the impact of papers produced by Guangrong Wang. 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 Guangrong Wang. The network helps show where Guangrong Wang may publish in the future.
Co-authorship network of co-authors of Guangrong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guangrong Wang. A scholar is included among the top collaborators of Guangrong Wang 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 Guangrong Wang. Guangrong Wang 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 | 5 | |
| 3 | 15 | |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 23 | |
| 9 | 11 | |
| 10 | [Measurement and correlation analysis of plasma VEGF level in the patients of hyperthyroidism]. | 5 |
| 11 | 12 | |
| 12 | 61 | |
| 13 | Mashup services network and its topology analysis | 0 |
| 14 | 46 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 17 | |
| 19 | 226 | |
| 20 | 1 |
About Guangrong Wang
Guangrong Wang is a scholar working on Hepatology, Computer Networks and Communications and Information Systems, having authored 25 papers that have together received 531 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Service-Oriented Architecture and Web Services (4 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Physiology (125 citations), Cardiology and Cardiovascular Medicine (103 citations) and Hematology (40 citations). Guangrong Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Michael E. Mendelsohn, Yan Zhu, Perry V. Halushka, Thomas Lincoln, Buqing Cao, Jianxun Liu, Mingdong Tang, Zibin Zheng, Robert M. Blanton and Richard H. Karas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.