Fang Wan

2.1k total citations · 1 hit paper
52 papers, 1.4k citations indexed

About

Fang Wan is a scholar working on Sociology and Political Science, Marketing and Statistics and Probability. According to data from OpenAlex, Fang Wan has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 11 papers in Marketing and 10 papers in Statistics and Probability. Recurrent topics in Fang Wan's 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). Fang Wan is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (9 papers), Statistical Methods in Clinical Trials (7 papers) and Advanced Statistical Methods and Models (7 papers). Fang Wan collaborates with scholars based in China, United States and Canada. Fang Wan's co-authors include Kent Walker, Robert S. Wyer, Hao Shen, Namita Bhatnagar, Seounmi Youn, Na Ni, Ming Shien Cheng, Jiayin Qi, Li Zhang and Frank Bretz and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Neuroscience and Technometrics.

In The Last Decade

Fang Wan

48 papers receiving 1.4k citations

Hit Papers

The Harm of Symbolic Acti... 2011 2026 2016 2021 2011 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Harm of Symbolic Actions and Green-Washing: Corporate Actions and Communications on Environmental Performance and Their Financial Implications
    2011 689 citations Fang Wan et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fang Wan China 17 661 543 314 174 144 52 1.4k
Roger L. Martin Australia 17 274 0.4× 628 1.2× 290 0.9× 448 2.6× 173 1.2× 34 2.2k
Yingying Zhang China 24 190 0.3× 514 0.9× 327 1.0× 343 2.0× 209 1.5× 130 1.8k
Yu-Shan Chen Taiwan 14 2.0k 3.1× 1.3k 2.4× 320 1.0× 246 1.4× 240 1.7× 15 2.7k
Ajay Menon United States 12 1.1k 1.7× 939 1.7× 195 0.6× 408 2.3× 112 0.8× 20 1.9k
Asha Thomas Poland 17 179 0.3× 276 0.5× 525 1.7× 149 0.9× 275 1.9× 53 1.6k
Muhammad Ali Australia 22 200 0.3× 318 0.6× 330 1.1× 531 3.1× 80 0.6× 103 1.6k
Lan Li China 14 265 0.4× 126 0.2× 359 1.1× 394 2.3× 69 0.5× 44 998
Marc H. Anderson United States 26 165 0.2× 757 1.4× 421 1.3× 704 4.0× 91 0.6× 54 2.6k
Andreas Ströbl Austria 18 370 0.6× 389 0.7× 512 1.6× 437 2.5× 119 0.8× 53 1.4k
Marie‐Josée Roy Canada 17 841 1.3× 1.1k 2.0× 74 0.2× 144 0.8× 100 0.7× 34 1.6k

Countries citing papers authored by Fang Wan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Wan, Fang, Wei Liu, & Frank Bretz. (2024). Confidence sets for a level set in linear regression. Statistics in Medicine. 43(6). 1103–1118.
3.
4.
Wan, Fang, et al.. (2023). Is Hearing Loss a Risk Factor for Idiopathic Parkinson’s Disease? An English Longitudinal Study of Ageing Analysis. Brain Sciences. 13(8). 1196–1196. 1 indexed citations
5.
Cheng, Ming Shien, et al.. (2021). Differential effects of firm generated content on consumer digital engagement and firm performance: An outside-in perspective. Industrial Marketing Management. 98. 41–58. 38 indexed citations
6.
Chen, Biqing, Ren Na, Fang Wan, et al.. (2020). A genome-wide association study reveals a substantial genetic basis underlying the Ebbinghaus illusion. Journal of Human Genetics. 66(3). 261–271. 4 indexed citations
7.
Sun, Mingshu, Yuwei He, Lingling Cui, et al.. (2020). Serum CA72-4 is specifically elevated in gout patients and predicts flares. Lara D. Veeken. 59(10). 2872–2880. 7 indexed citations
8.
Chen, Biqing, Ren Na, Fang Wan, et al.. (2019). Heritability of human visual contour integration—an integrated genomic study. European Journal of Human Genetics. 27(12). 1867–1875. 3 indexed citations
9.
Pallmann, Philip, Fang Wan, Adrian Mander, et al.. (2019). Designing and evaluating dose-escalation studies made easy: The MoDEsT web app. Clinical Trials. 17(2). 147–156. 7 indexed citations
10.
Yin, Chun, Yang Liu, Xu Guo, et al.. (2019). An Effective Strategy to Eliminate Inherent Cross-Contamination in mtDNA Next-Generation Sequencing of Multiple Samples. Journal of Molecular Diagnostics. 21(4). 593–601. 9 indexed citations
11.
Chen, Biqing, Ren Na, Fang Wan, et al.. (2018). Genomic Analyses of Visual Cognition: Perceptual Rivalry and Top-Down Control. Journal of Neuroscience. 38(45). 9668–9678. 11 indexed citations
12.
Chen, Biqing, Yingying Wang, Xiaohu Ding, et al.. (2018). Nature vs. nurture in human sociality: multi-level genomic analyses of social conformity. Journal of Human Genetics. 63(5). 605–619. 11 indexed citations
13.
Hu, Miao, et al.. (2018). Love or hate, depends on who's saying it: How legitimacy of brand rejection alters brand preferences. Journal of Business Research. 90. 164–170. 26 indexed citations
14.
Wang, Lin, et al.. (2011). [Impact of excessive blood-lead levels on T cell subsets in lead exposed workers].. PubMed. 19(6). 1509–11. 5 indexed citations
15.
Shen, Hao, Fang Wan, & Robert S. Wyer. (2010). Cross-cultural differences in the refusal to accept a small gift: The differential influence of reciprocity norms on Asians and North Americans.. Journal of Personality and Social Psychology. 100(2). 271–281. 112 indexed citations
16.
Wan, Fang, et al.. (2009). Contrast Or Assimilation Effect As a Result of Upward Social Comparison With Idealized Images: the Role of Mode of Exposure and Priming. ACR North American Advances. 1 indexed citations
17.
Wan, Fang. (2008). Study of optimal operation chart of cascade reservoirs based on linking simulation with differential evolution algorithm. Journal of Hydroelectric Engineering. 1 indexed citations
18.
He, Jing, Fang Wan, & Zhanguo Li. (2008). [The application of combined detection of autoantibodies in primary Sjögren's syndrome].. PubMed. 47(5). 366–8. 4 indexed citations
19.
Wan, Fang & Seounmi Youn. (2004). Motivations to Regulate Online Gambling and Violent Game Sites. Journal of Interactive Advertising. 5(1). 46–59. 23 indexed citations
20.
Wan, Fang, et al.. (1993). Ophthalmologic Manifestations in MELAS Syndrome. Archives of Neurology. 50(9). 977–980. 32 indexed citations

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.

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