Marlys J. Mason

40 total papers · 785 total citations
28 papers, 588 citations indexed

About

Marlys J. Mason is a scholar working on Marketing, Social Psychology and General Health Professions. According to data from OpenAlex, Marlys J. Mason has authored 28 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Marketing, 5 papers in Social Psychology and 5 papers in General Health Professions. Recurrent topics in Marlys J. Mason's work include Consumer Behavior in Brand Consumption and Identification (6 papers), Behavioral Health and Interventions (3 papers) and Pharmaceutical industry and healthcare (3 papers). Marlys J. Mason is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (6 papers), Behavioral Health and Interventions (3 papers) and Pharmaceutical industry and healthcare (3 papers). Marlys J. Mason collaborates with scholars based in United States, France and United Kingdom. Marlys J. Mason's co-authors include Teresa M. Pavia, Debra L. Scammon, Xiang Fang, Mark Weiser, David Biros, Steven W. Rayburn, Darrell E. Bartholomew, Christopher L. Newman, Jeff Langenderfer and Ingrid M. Martin and has published in prestigious journals such as Journal of Consumer Research, Journal of Business Research and Journal of Marketing Management.

In The Last Decade

Marlys J. Mason

26 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Marlys J. Mason	256	187	81	67	60	28	588
Melissa G. Bublitz	274 1.1×	158 0.8×	103 1.3×	57 0.9×	26 0.4×	26	689
Erika Matulich	192 0.8×	134 0.7×	53 0.7×	102 1.5×	71 1.2×	16	678
Natalie Ross Adkins	337 1.3×	233 1.2×	103 1.3×	78 1.2×	110 1.8×	19	690
Kenny K. Chan	176 0.7×	221 1.2×	64 0.8×	28 0.4×	66 1.1×	15	519
Lawrence R. Lepisto	148 0.6×	127 0.7×	65 0.8×	111 1.7×	144 2.4×	21	523
Luigina Canova	141 0.6×	194 1.0×	122 1.5×	32 0.5×	20 0.3×	24	557
Lu Zheng	84 0.3×	149 0.8×	118 1.5×	45 0.7×	80 1.3×	41	549
Kate Smith	68 0.3×	223 1.2×	68 0.8×	104 1.6×	68 1.1×	24	571
Susan Gregory	151 0.6×	210 1.1×	48 0.6×	68 1.0×	172 2.9×	31	577
Sarah Dodds	235 0.9×	208 1.1×	46 0.6×	86 1.3×	94 1.6×	25	564

Countries citing papers authored by Marlys J. Mason

Since Specialization

Citations

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

Fields of papers citing papers by Marlys J. Mason

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marlys J. Mason. 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 Marlys J. Mason. The network helps show where Marlys J. Mason may publish in the future.

Co-authorship network of co-authors of Marlys J. Mason

This figure shows the co-authorship network connecting the top 25 collaborators of Marlys J. Mason. A scholar is included among the top collaborators of Marlys J. Mason 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 Marlys J. Mason. Marlys J. Mason 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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