Lay Peng Tan

35 total papers · 1.5k total citations
17 papers, 944 citations indexed

About

Lay Peng Tan is a scholar working on Marketing, Sociology and Political Science and Management, Monitoring, Policy and Law. According to data from OpenAlex, Lay Peng Tan has authored 17 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Marketing, 5 papers in Sociology and Political Science and 4 papers in Management, Monitoring, Policy and Law. Recurrent topics in Lay Peng Tan's work include Consumer Behavior in Brand Consumption and Identification (8 papers), Environmental Sustainability in Business (6 papers) and Environmental Education and Sustainability (4 papers). Lay Peng Tan is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (8 papers), Environmental Sustainability in Business (6 papers) and Environmental Education and Sustainability (4 papers). Lay Peng Tan collaborates with scholars based in Australia, New Zealand and Malaysia. Lay Peng Tan's co-authors include Micael‐Lee Johnstone, Yang Lin, Cynthia Webster, Denni Arli, Chedia Dhaoui, Fandy Tjiptono, Sheau Fen Yap, Yingzi Xu, Leigh Wood and Yvonne Breyer and has published in prestigious journals such as Journal of Business Ethics, Journal of Retailing and Consumer Services and Journal of Consumer Marketing.

In The Last Decade

Lay Peng Tan

16 papers receiving 914 citations

Author Peers

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

Author						Papers	Cites
Lay Peng Tan	598	292	251	168	89	17	944
Brahim Chekima	717 1.2×	373 1.3×	211 0.8×	156 0.9×	76 0.9×	33	1.1k
Booi Chen Tan	732 1.2×	346 1.2×	251 1.0×	162 1.0×	36 0.4×	34	1.1k
Diana Gregory‐Smith	638 1.1×	376 1.3×	316 1.3×	244 1.5×	94 1.1×	32	1.1k
Hye-Yoon Choi	645 1.1×	247 0.8×	505 2.0×	156 0.9×	67 0.8×	21	1.1k
Naman Sreen	759 1.3×	416 1.4×	269 1.1×	179 1.1×	23 0.3×	29	1.0k
Tahseen Ahmed Bhutto	544 0.9×	234 0.8×	143 0.6×	301 1.8×	80 0.9×	7	798
Nisar Ahmed Channa	586 1.0×	290 1.0×	116 0.5×	359 2.1×	45 0.5×	18	798
Márcia Maurer Herter	600 1.0×	232 0.8×	436 1.7×	107 0.6×	73 0.8×	32	1.0k
Prashant Kumar	799 1.3×	291 1.0×	303 1.2×	275 1.6×	39 0.4×	32	1.1k
Ewelina Lacka	459 0.8×	198 0.7×	464 1.8×	192 1.1×	74 0.8×	24	1.2k

Countries citing papers authored by Lay Peng Tan

Since Specialization

Citations

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

Fields of papers citing papers by Lay Peng Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lay Peng Tan. 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 Lay Peng Tan. The network helps show where Lay Peng Tan may publish in the future.

Co-authorship network of co-authors of Lay Peng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Lay Peng Tan. A scholar is included among the top collaborators of Lay Peng Tan 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 Lay Peng Tan. Lay Peng Tan 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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