Saerom Lee

549 total citations
25 papers, 413 citations indexed

About

Saerom Lee is a scholar working on Sociology and Political Science, Marketing and Molecular Biology. According to data from OpenAlex, Saerom Lee has authored 25 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 6 papers in Marketing and 4 papers in Molecular Biology. Recurrent topics in Saerom Lee's work include Consumer Behavior in Brand Consumption and Identification (5 papers), Digital Marketing and Social Media (4 papers) and Innovation Diffusion and Forecasting (3 papers). Saerom Lee is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (5 papers), Digital Marketing and Social Media (4 papers) and Innovation Diffusion and Forecasting (3 papers). Saerom Lee collaborates with scholars based in United States, South Korea and Canada. Saerom Lee's co-authors include Karen Page Winterich, William T. Ross, Lisa E. Bolton, Hans Baumgartner, Hyunmi Baek, JoongHo Ahn, Yang‐Guk Chung, Mi Hee Park, Jee Young Sung and Christopher Rongo and has published in prestigious journals such as Langmuir, Journal of Marketing Research and Journal of Consumer Research.

In The Last Decade

Saerom Lee

22 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saerom Lee United States 7 208 161 80 63 60 25 413
Adam Farmer United States 11 278 1.3× 249 1.5× 116 1.4× 48 0.8× 91 1.5× 18 582
Kirk Kristofferson Canada 6 235 1.1× 201 1.2× 88 1.1× 38 0.6× 51 0.8× 11 495
Michael Lwin Australia 13 290 1.4× 286 1.8× 65 0.8× 75 1.2× 28 0.5× 38 509
Promothesh Chatterjee United States 9 92 0.4× 192 1.2× 69 0.9× 45 0.7× 57 0.9× 19 385
Ting‐Jui Chou China 10 339 1.6× 167 1.0× 53 0.7× 127 2.0× 40 0.7× 15 566
Jungsil Choi United States 11 155 0.7× 269 1.7× 103 1.3× 37 0.6× 26 0.4× 21 424
Lina Pilelienė Lithuania 11 156 0.8× 205 1.3× 47 0.6× 24 0.4× 60 1.0× 75 444
Jennifer Wiggins Johnson United States 10 267 1.3× 287 1.8× 112 1.4× 63 1.0× 38 0.6× 16 533
Nicole Votolato Montgomery United States 10 202 1.0× 268 1.7× 60 0.8× 39 0.6× 44 0.7× 16 474
Hsuan‐Yi Chou Taiwan 15 186 0.9× 319 2.0× 89 1.1× 50 0.8× 20 0.3× 37 488

Countries citing papers authored by Saerom Lee

Since Specialization
Citations

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

Fields of papers citing papers by Saerom Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saerom Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Saerom Lee. A scholar is included among the top collaborators of Saerom Lee 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 Saerom Lee. Saerom Lee 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.
Lee, Saerom, et al.. (2024). Unveiling the types of growth patterns of mobile startups: do business models matter?. Technology Analysis and Strategic Management. 37(12). 2379–2393. 1 indexed citations
2.
Eom, Su Jin, Jae-Hoon Kim, Hee-Jin Park, et al.. (2024). Skin Improvement Effects of Ultrasound-Enzyme-Treated Collagen Peptide Extracts from Flatfish (Paralichthys olivaceus) Skin in an In Vitro Model. International Journal of Molecular Sciences. 25(17). 9300–9300. 2 indexed citations
3.
Lee, Saerom, et al.. (2024). In Touch with Those in Need: How Touchscreen Devices Lead Consumers to Support Social Causes. Journal of the Association for Consumer Research. 10(1). 82–93.
4.
Lee, Saerom & Britta Glennon. (2023). The Effect of Immigration Policy on Founding Location Choice: Evidence from Canada's Start-Up Visa Program. SSRN Electronic Journal. 1 indexed citations
5.
Lee, Saerom & Karen Page Winterich. (2022). The Price Entitlement Effect: When and Why High Price Entitles Consumers to Purchase Socially Costly Products. Journal of Marketing Research. 59(6). 1141–1160. 12 indexed citations
6.
Lee, Saerom, et al.. (2022). The Hidden Cost of Flat Hierarchies on Applicant Pool Diversity: Evidence from Experiments. SSRN Electronic Journal. 3 indexed citations
7.
Kim, Ha-Rim, Eun‐Mi Noh, Saerom Lee, et al.. (2022). Momordica charantia extracts obtained by ultrasound-assisted extraction inhibit the inflammatory pathways. Molecular & Cellular Toxicology. 20(1). 67–74. 5 indexed citations
8.
Lee, Saerom, et al.. (2022). When Do Startups Scale? Large-scale Evidence from Job Postings. Academy of Management Proceedings. 2022(1). 5 indexed citations
9.
Lee, Saerom, et al.. (2021). AP2M1 Supports TGF-β Signals to Promote Collagen Expression by Inhibiting Caveolin Expression. International Journal of Molecular Sciences. 22(4). 1639–1639. 3 indexed citations
10.
Lee, Saerom & Lisa E. Bolton. (2020). Mixed signals? Decoding luxury consumption in the workplace. Journal of Business Research. 117. 331–345. 23 indexed citations
11.
Lee, Saerom, Hans Baumgartner, & Rik Pieters. (2020). A Triadic Model of Social Motivations in Pay-What-You-Want Decisions. Journal of the Association for Consumer Research. 6(1). 105–119. 4 indexed citations
12.
Choi, Jung Hwa, Jee Young Sung, Saerom Lee, et al.. (2020). Rab8 and Rabin8-Mediated Tumor Formation by Hyperactivated EGFR Signaling via FGFR Signaling. International Journal of Molecular Sciences. 21(20). 7770–7770. 6 indexed citations
13.
Lee, Joo‐Yup, et al.. (2019). Comparison of the regeneration induced by acellular nerve allografts processed with or without chondroitinase in a rat model. Cell and Tissue Banking. 20(2). 307–319. 4 indexed citations
14.
Lee, Saerom, et al.. (2019). Artificial Intelligence and the Next Frontier of Organizational Modeling. Academy of Management Proceedings. 2019(1). 12483–12483. 2 indexed citations
16.
Lee, Saerom, Jeong Hoon Yoon, Joon Suk Oh, et al.. (2018). DNA-Functionalized 100 nm Polymer Nanoparticles from Block Copolymer Micelles. Langmuir. 34(37). 11042–11048. 7 indexed citations
17.
Lee, Saerom, Hans Baumgartner, & Karen Page Winterich. (2018). Did They Earn It? Observing Unearned Luxury Consumption Decreases Brand Attitude When Observers Value Fairness. Journal of Consumer Psychology. 28(3). 412–436. 40 indexed citations
18.
Lee, Saerom, Min Ho Ryu, Sang Yup Lee, & Dong-Heon Kwak. (2018). Where do you sell your products online? A seller perspective on online shopping platforms. RePEc: Research Papers in Economics. 1 indexed citations
19.
Lee, Saerom, Lisa E. Bolton, & Karen Page Winterich. (2017). To Profit or Not to Profit? The Role of Greed Perceptions in Consumer Support for Social Ventures. Journal of Consumer Research. 44(4). 853–876. 78 indexed citations
20.
Baek, Hyunmi, et al.. (2015). Normative Social Influence and Online Review Helpfulness: Polynomial Modeling and Response Surface Analysis. Journal of electronic commerce research. 16(4). 290. 38 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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