Michelle P. Lee

34 total papers · 495 total citations
11 papers, 338 citations indexed

About

Michelle P. Lee is a scholar working on Applied Psychology, Organizational Behavior and Human Resource Management and Marketing. According to data from OpenAlex, Michelle P. Lee has authored 11 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Applied Psychology, 4 papers in Organizational Behavior and Human Resource Management and 3 papers in Marketing. Recurrent topics in Michelle P. Lee's work include Behavioral Health and Interventions (4 papers), Management and Organizational Studies (3 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Michelle P. Lee is often cited by papers focused on Behavioral Health and Interventions (4 papers), Management and Organizational Studies (3 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Michelle P. Lee collaborates with scholars based in Singapore, United States and South Africa. Michelle P. Lee's co-authors include Carolyn Yoon, Catherine Cole, Kwanho Suk, Leonard Lee, Marco Bertini, Gal Zauberman, Dan Ariely, Sheldon Danziger, Amna Kirmani and Howard Thomas and has published in prestigious journals such as Journal of Marketing Research, Journal of Consumer Research and Psychology and Marketing.

In The Last Decade

Michelle P. Lee

10 papers receiving 306 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michelle P. Lee	160	90	54	49	48	11	338
Michelle Barnhart	178 1.1×	139 1.5×	12 0.2×	43 0.9×	50 1.0×	14	386
Ashley S. Otto	119 0.7×	114 1.3×	31 0.6×	44 0.9×	96 2.0×	12	305
R Pagès	47 0.3×	151 1.7×	40 0.7×	84 1.7×	32 0.7×	12	385
Kellen Mrkva	72 0.5×	92 1.0×	58 1.1×	54 1.1×	6 0.1×	13	329
Carter A. Mandrik	223 1.4×	159 1.8×	23 0.4×	39 0.8×	63 1.3×	10	376
Graeme A. Haynes	81 0.5×	119 1.3×	65 1.2×	69 1.4×	30 0.6×	7	298
Namika Sagara	26 0.2×	122 1.4×	47 0.9×	72 1.5×	18 0.4×	7	295
Dennis L. Rosen	194 1.2×	148 1.6×	10 0.2×	73 1.5×	65 1.4×	11	352
Jeff T. Casey	28 0.2×	58 0.6×	23 0.4×	69 1.4×	21 0.4×	14	350
Peggy Sue Loroz	190 1.2×	162 1.8×	51 0.9×	51 1.0×	55 1.1×	12	378

Countries citing papers authored by Michelle P. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Michelle P. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle P. Lee

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

All Works

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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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