Monic Sun

1.6k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Monic Sun is a scholar working on Marketing, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Monic Sun has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Marketing, 11 papers in Strategy and Management and 10 papers in Management Science and Operations Research. Recurrent topics in Monic Sun's work include Consumer Market Behavior and Pricing (16 papers), Auction Theory and Applications (9 papers) and Digital Platforms and Economics (8 papers). Monic Sun is often cited by papers focused on Consumer Market Behavior and Pricing (16 papers), Auction Theory and Applications (9 papers) and Digital Platforms and Economics (8 papers). Monic Sun collaborates with scholars based in United States, Canada and Portugal. Monic Sun's co-authors include J. Miguel Villas‐Boas, Fernando Branco, Feng Zhu, Remi Trudel, Rajeev K. Tyagi, Yuxin Chen, Xinxin Li, Xiaoquan Zhang, Baojun Jiang and T. Tony Ke and has published in prestigious journals such as Management Science, Journal of Marketing Research and Marketing Science.

In The Last Decade

Monic Sun

26 papers receiving 1.1k citations

Hit Papers

How Does the Variance of Product Ratings Matter? 2011 2026 2016 2021 2011 100 200 300 400 500
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. How Does the Variance of Product Ratings Matter?
    2011 506 citations Monic Sun Management Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monic Sun United States 12 777 645 245 218 129 27 1.2k
H. Alice Li United States 7 537 0.7× 632 1.0× 205 0.8× 83 0.4× 209 1.6× 20 1.1k
Jonathan Z. Zhang United States 15 529 0.7× 463 0.7× 155 0.6× 84 0.4× 141 1.1× 22 991
Sangkil Moon United States 17 544 0.7× 539 0.8× 108 0.4× 96 0.4× 92 0.7× 38 1.1k
Zhao Ying Hong Kong 15 769 1.0× 273 0.4× 265 1.1× 204 0.9× 65 0.5× 34 1.2k
Tarun Kushwaha United States 15 890 1.1× 430 0.7× 387 1.6× 143 0.7× 177 1.4× 30 1.5k
Md Afnan Hossain Bangladesh 17 365 0.5× 294 0.5× 220 0.9× 82 0.4× 140 1.1× 30 886
Claudio Vitari France 14 297 0.4× 490 0.8× 208 0.8× 107 0.5× 231 1.8× 43 1.1k
Chunlin Yuan China 13 730 0.9× 404 0.6× 526 2.1× 67 0.3× 192 1.5× 16 1.3k
Manish Gangwar United States 12 409 0.5× 211 0.3× 120 0.5× 113 0.5× 83 0.6× 18 792
Kexin Zhao United States 17 269 0.3× 525 0.8× 173 0.7× 92 0.4× 445 3.4× 36 1.1k

Countries citing papers authored by Monic Sun

Since Specialization
Citations

This map shows the geographic impact of Monic Sun'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 Monic Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monic Sun more than expected).

Fields of papers citing papers by Monic Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monic Sun. 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 Monic Sun. The network helps show where Monic Sun may publish in the future.

Co-authorship network of co-authors of Monic Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Monic Sun. A scholar is included among the top collaborators of Monic Sun 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 Monic Sun. Monic Sun 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.
Ke, T. Tony, Monic Sun, & Baojun Jiang. (2024). Peer-to-Peer Markets with Bilateral Ratings. Marketing Science. 43(5). 1081–1101. 1 indexed citations
2.
Weingarten, Evan, Kristen Duke, Wendy Liu, et al.. (2022). What Makes People Happy? Decoupling the Experiential-Material Continuum. SSRN Electronic Journal. 1 indexed citations
3.
Weingarten, Evan, Kristen Duke, Wendy Liu, et al.. (2022). What makes people happy? Decoupling the experiential‐material continuum. Journal of Consumer Psychology. 33(1). 97–106. 13 indexed citations
4.
Sun, Monic & Rajeev K. Tyagi. (2020). Product Fit Uncertainty and Information Provision in a Distribution Channel. Production and Operations Management. 29(10). 2381–2402. 54 indexed citations
5.
Chen, Yuxin, Xinxin Li, & Monic Sun. (2017). Competitive Mobile Geo Targeting. Marketing Science. 36(5). 666–682. 49 indexed citations
6.
Ke, T. Tony, Baojun Jiang, & Monic Sun. (2017). Peer-to-Peer Markets with Bilateral Ratings. SSRN Electronic Journal. 5 indexed citations
7.
Sun, Monic, Xiaoquan Zhang, & Feng Zhu. (2016). Nonconformity in Online Social Networks. 1 indexed citations
8.
Sun, Monic & Remi Trudel. (2016). The Effect of Recycling versus Trashing on Consumption: Theory and Experimental Evidence. Journal of Marketing Research. 54(2). 293–305. 92 indexed citations
9.
Sun, Monic & Remi Trudel. (2016). The Effect of Recycling Versus Trashing on Consumption: Theory and Experimental Evidence. SSRN Electronic Journal. 3 indexed citations
10.
Branco, Fernando, Monic Sun, & J. Miguel Villas‐Boas. (2015). Too Much Information? Information Provision and Search Costs. SSRN Electronic Journal. 5 indexed citations
11.
Chen, Yuxin, et al.. (2015). Competitive Mobile Targeting. SSRN Electronic Journal. 6 indexed citations
12.
Sun, Monic & Feng Zhu. (2013). Ad Revenue and Content Commercialization: Evidence from Blogs. Management Science. 59(10). 2314–2331. 120 indexed citations
13.
Sun, Monic, Xiaoquan Zhang, & Feng Zhu. (2013). To Belong or to Be Different? Evidence from a Large-Scale Field Experiment. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1 indexed citations
14.
Thomadsen, Raphael, Robert Zeithammer, Ganesh Iyer, et al.. (2012). A reflection on analytical work in marketing: Three points of consensus. Marketing Letters. 23(2). 381–389. 5 indexed citations
15.
Sun, Monic & Feng Zhu. (2012). Ad Revenue and Content Commercialization: Evidence from Blogs. SSRN Electronic Journal. 5 indexed citations
16.
Sun, Monic & Feng Zhu. (2011). Ad Revenue and Content Commercialization: Evidence from Blogs. SSRN Electronic Journal. 21 indexed citations
17.
Thomadsen, Raphael, Robert Zeithammer, Dina Mayzlin, et al.. (2011). A Reflection on Analytical Work in Marketing: Three Points of Consensus. SSRN Electronic Journal. 1 indexed citations
18.
Branco, Fernando, Monic Sun, & J. Miguel Villas‐Boas. (2010). Optimal Search for Product Information. SSRN Electronic Journal. 9 indexed citations
19.
Sun, Monic. (2010). How Does the Variance of Product Ratings Matter?. SSRN Electronic Journal. 20 indexed citations
20.
Sun, Monic, et al.. (2009). Informal Payments in Developing Countries' Public Health Sectors. SSRN Electronic Journal.

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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