Leslie Cuevas

715 total citations · 1 hit paper
9 papers, 463 citations indexed

About

Leslie Cuevas is a scholar working on Sociology and Political Science, Marketing and Gender Studies. According to data from OpenAlex, Leslie Cuevas has authored 9 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 5 papers in Marketing and 5 papers in Gender Studies. Recurrent topics in Leslie Cuevas's work include Digital Marketing and Social Media (6 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Gender, Feminism, and Media (3 papers). Leslie Cuevas is often cited by papers focused on Digital Marketing and Social Media (6 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Gender, Feminism, and Media (3 papers). Leslie Cuevas collaborates with scholars based in United States and Hong Kong. Leslie Cuevas's co-authors include Heejin Lim, Chung‐Wha Ki, Sze Man Chong, Jewon Lyu, Michelle Childs, Hyo Jung Chang, Stefanie Benjamin and Stacy Lee and has published in prestigious journals such as Journal of Retailing and Consumer Services, International Journal of Retail & Distribution Management and Social Media + Society.

In The Last Decade

Leslie Cuevas

8 papers receiving 440 citations

Hit Papers

Influencer marketing: Social media influencers as human b... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leslie Cuevas United States 4 387 217 105 71 52 9 463
Min Xiao United States 6 395 1.0× 158 0.7× 92 0.9× 65 0.9× 51 1.0× 13 469
Joonghwa Lee United States 11 343 0.9× 194 0.9× 108 1.0× 52 0.7× 28 0.5× 17 432
Eun Sook Kwon United States 9 277 0.7× 187 0.9× 86 0.8× 40 0.6× 23 0.4× 13 373
Dongjae Lim United States 6 565 1.5× 346 1.6× 96 0.9× 128 1.8× 101 1.9× 7 680
Antonia Erz Denmark 8 297 0.8× 144 0.7× 59 0.6× 47 0.7× 31 0.6× 15 391
Naa Amponsah Dodoo United States 14 275 0.7× 260 1.2× 83 0.8× 52 0.7× 41 0.8× 23 431
Sara Kamal United States 9 496 1.3× 351 1.6× 150 1.4× 64 0.9× 31 0.6× 10 605
Heather Shoenberger United States 13 349 0.9× 218 1.0× 73 0.7× 116 1.6× 54 1.0× 29 499
Delia Cristina Balaban Romania 8 255 0.7× 90 0.4× 61 0.6× 47 0.7× 30 0.6× 39 313
Payal S. Kapoor India 10 325 0.8× 236 1.1× 54 0.5× 50 0.7× 15 0.3× 16 436

Countries citing papers authored by Leslie Cuevas

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Cuevas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leslie Cuevas

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Cuevas. A scholar is included among the top collaborators of Leslie Cuevas 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 Leslie Cuevas. Leslie Cuevas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Cuevas, Leslie, et al.. (2024). Fashion Influencer Moms on Instagram: Exploration of Their Affective Labor and Self-Presentation Practices. Social Media + Society. 10(4). 1 indexed citations
2.
Cuevas, Leslie, et al.. (2024). Revisiting consumer loyalty: luxury brand extension into restaurants and cafés. International Journal of Retail & Distribution Management. 53(2). 199–215. 2 indexed citations
3.
Lim, Heejin, Michelle Childs, Leslie Cuevas, & Jewon Lyu. (2021). Between you and me: The effects of content ephemerality and the role of social value orientation in luxury brands’ social media communication. Journal of Global Fashion Marketing. 12(2). 120–132. 13 indexed citations
4.
Cuevas, Leslie, et al.. (2021). Exploring Tattooed Presentation on YouTube: A Case Study of Kat Von D. Fashion Theory. 26(3). 419–440. 2 indexed citations
5.
Cuevas, Leslie, Jewon Lyu, & Heejin Lim. (2021). Flow matters: antecedents and outcomes of flow experience in social search on Instagram. Journal of Research in Interactive Marketing. 15(1). 49–67. 40 indexed citations
6.
Ki, Chung‐Wha, Leslie Cuevas, Sze Man Chong, & Heejin Lim. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services. 55. 102133–102133. 398 indexed citations breakdown →
7.
Cuevas, Leslie. (2020). Becoming a Mom: Intersectionality and Fashion Consumption for Millennial Latinas and the Role of Social Media Influencers. 1 indexed citations
8.
Lim, Heejin, Michelle Childs, Leslie Cuevas, & Jewon Lyu. (2018). CHANEL INVITES YOU BACKSTAGE! PHOTO NARRATIVE AND VIP EMOTIONS IN LUXURY BRANDS’ SOCIAL MEDIA COMMUNICATION. Global Fashion Management Conference. 2018. 454–454. 1 indexed citations
9.
Cuevas, Leslie. (2016). Fashion Bloggers as Human Brands: Exploring Brand Personality within the Blogosphere. 5 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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