Guanghua Wan
- Economics and Econometrics top 2%
- Molecular Biology
- Sociology and Political Science top 5%
- Nephrology top 5%
- Global and Planetary Change top 10%
- Co-authors
- Anthony ShorrocksChen WangSiqin ZhaorigetuChien‐An Andy HuRamesh R. KainiZeyu JiangZhihe LiuWang Jing
- Topics
- Fiscal Policy and Economic Growth (15 papers)Income, Poverty, and Inequality (15 papers)Economic Growth and Productivity (9 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Guanghua Wan
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 163
- Economics and Econometrics 612
- Molecular Biology 331
- Sociology and Political Science 295
- Nephrology 175
- Global and Planetary Change 158
Countries citing papers authored by Guanghua Wan
This map shows the geographic impact of Guanghua Wan'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 Guanghua Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanghua Wan more than expected).
Fields of papers citing papers by Guanghua Wan
This network shows the impact of papers produced by Guanghua Wan. 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 Guanghua Wan. The network helps show where Guanghua Wan may publish in the future.
Co-authorship network of co-authors of Guanghua Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Guanghua Wan. A scholar is included among the top collaborators of Guanghua Wan 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 Guanghua Wan. Guanghua Wan 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 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | Food Insecurity in Asia: Why Institutions Matter | 9 |
| 10 | 43 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 94 | |
| 15 | 124 | |
| 16 | 183 | |
| 17 | Interactions Among China-Related Stocks: Evidence from a Causality Test with a New Procedure | 2 |
| 18 | Research methodological issues in projecting China's feedgrains demand and supply | 2 |
| 19 | 20 | |
| 20 | Measuring Input Substitution and Output Expansion Effects: A Nonparametric Approach with Application | 3 |
About Guanghua Wan
Guanghua Wan is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Development, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (15 papers), Income, Poverty, and Inequality (15 papers) and Economic Growth and Productivity (9 papers). The work is most often cited by research in Nephrology (175 citations), Economics and Econometrics (612 citations) and Transportation (109 citations). Guanghua Wan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Anthony Shorrocks, Chen Wang, Siqin Zhaorigetu, Chien‐An Andy Hu, Ramesh R. Kaini, Zeyu Jiang, Zhihe Liu, Wang Jing, Kala Seetharam Sridhar and Nami Goto‐Yamamoto. Their work appears in journals such as Journal of Biological Chemistry, Ecology and Biochemistry.
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.