Guang Wang
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Physiology top 5%
- Surgery top 10%
- Topics
- Adipose Tissue and Metabolism (22 papers)Thyroid Disorders and Treatments (17 papers)Metabolism, Diabetes, and Cancer (16 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Guang Wang
157 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.2k
- Endocrinology, Diabetes and Metabolism 640
- Epidemiology 478
- Physiology 386
- Surgery 359
Countries citing papers authored by Guang Wang
This map shows the geographic impact of Guang 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 Guang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Wang more than expected).
Fields of papers citing papers by Guang Wang
This network shows the impact of papers produced by Guang 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 Guang Wang. The network helps show where Guang Wang may publish in the future.
Co-authorship network of co-authors of Guang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Wang. A scholar is included among the top collaborators of Guang 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 Guang Wang. Guang 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 | 1 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 40 | |
| 11 | 31 | |
| 12 | 63 | |
| 13 | 27 | |
| 14 | PPAR-α agonist fenofibrate up-regulates tetrahydrobiopterin level through increasing the expression of Guanosine 5′-triphosphate cyclohydrolase-I in human umbilical vein endothelial cells | 1 |
| 15 | Primary culture and identification of rat renal proximal tubule cells | 1 |
| 16 | Improvement of the sequence and ligation-independent cloning(SLIC)method | 4 |
| 17 | 3 | |
| 18 | Preparation of GBE50 Oral Proliposome and Determination of Its Physicochemical Properties | 4 |
| 19 | Effects of aminoguanidine on transplantation stomach cancer in mice | 2 |
| 20 | Monochoria vaginalis var. angustifolia, a new variety of the Pontederiaceae from Thailand variety of the Pontederiaceae from Thailand | 2 |
About Guang Wang
Guang Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology, having authored 161 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (22 papers), Thyroid Disorders and Treatments (17 papers) and Metabolism, Diabetes, and Cancer (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (640 citations), Cancer Research (311 citations) and Molecular Biology (1.2k citations). Guang Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jia Liu, Yuan Xu, Yanjin Hu, Jing Fu, Ning Yang, Yumei Jia, Fusheng Zhang, Xiaofeng Jiang, Zhi Yang and Xuesong Yang. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología 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.