Fang Wan
- Marketing top 1%
- Strategy and Management top 2%
- Sociology and Political Science top 5%
- Organizational Behavior and Human Resource Management top 5%
- Economics and Econometrics top 10%
- Co-authors
- Kent WalkerHao ShenRobert S. WyerNamita BhatnagarSeounmi YounNa NiLi ZhangJiayin Qi
- Topics
- Consumer Behavior in Brand Consumption and Identification (9 papers)Statistical Methods in Clinical Trials (7 papers)Advanced Statistical Methods and Models (7 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fang Wan
48 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Marketing 661
- Strategy and Management 543
- Sociology and Political Science 314
- Organizational Behavior and Human Resource Management 174
- Economics and Econometrics 144
Countries citing papers authored by Fang Wan
This map shows the geographic impact of Fang 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 Fang Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Wan more than expected).
Fields of papers citing papers by Fang Wan
This network shows the impact of papers produced by Fang 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 Fang Wan. The network helps show where Fang Wan may publish in the future.
Co-authorship network of co-authors of Fang Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Wan. A scholar is included among the top collaborators of Fang 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 Fang Wan. Fang 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 | 16 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | [Impact of excessive blood-lead levels on T cell subsets in lead exposed workers]. | 5 |
| 14 | 112 | |
| 15 | Contrast Or Assimilation Effect As a Result of Upward Social Comparison With Idealized Images: the Role of Mode of Exposure and Priming | 1 |
| 16 | [The application of combined detection of autoantibodies in primary Sjögren's syndrome]. | 4 |
| 17 | Study of optimal operation chart of cascade reservoirs based on linking simulation with differential evolution algorithm | 1 |
| 18 | 23 | |
| 19 | 28 | |
| 20 | 32 |
About Fang Wan
Fang Wan is a scholar working on Statistics and Probability, Marketing and Management Science and Operations Research, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (9 papers), Statistical Methods in Clinical Trials (7 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in Marketing (661 citations), Strategy and Management (543 citations) and Organizational Behavior and Human Resource Management (174 citations). Fang Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kent Walker, Hao Shen, Robert S. Wyer, Namita Bhatnagar, Seounmi Youn, Na Ni, Li Zhang, Jiayin Qi, Ming Shien Cheng and Anthony Fung. Their work appears in journals such as Journal of Personality and Social Psychology, Journal of Neuroscience and Technometrics.
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.