Mayoor Mohan

767 citations
31 papers · 594 · h-index 16

Impact in

Papers in

    • Consumer Behavior in Brand Consumption and Identification 14
    • Environmental Sustainability in Business 2
    • Consumer Retail Behavior Studies 2
    • Digital Marketing and Social Media 14

Mayoor Mohan

28 papers receiving 583 citations

Peers

Mayoor Mohan
Comparison fields: 5 of 71
  • Marketing 343
  • Organizational Behavior and Human Resource Management 182
  • Business and International Management 23
  • Strategy and Management 153
  • Information Systems and Management 50
Replace Jiaxun He with:
Jiaxun He China
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Timo Mandler France
Yu-Chun Chung Taiwan
Ruizhi Yuan China
Doreén Pick Germany
Carmen Pérez Cabañero Spain
Richard Gyrd‐Jones Denmark
Elad Granot United States
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Citations per year

Countries citing papers authored by Mayoor Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Mayoor Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayoor Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mayoor Mohan Line = papers co-authored together Mayoor Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 201958
3 201957
4 201949
5 201841
6 201739
7 201833
8 201629
9 201629
10 202127
11 201624
12 201722
13 201720
14 201718
15 202216
16 202015
17 20228
18 20227
19 20216
20 20235

About Mayoor Mohan

Mayoor Mohan is a scholar working on Marketing, Sociology and Political Science, Organizational Behavior and Human Resource Management, Strategy and Management and Gender Studies, having authored 31 papers that have together received 594 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (14 papers), Consumer Behavior in Brand Consumption and Identification (14 papers), Customer Service Quality and Loyalty (11 papers), Media, Gender, and Advertising (3 papers), Corporate Identity and Reputation (3 papers), Environmental Sustainability in Business (2 papers), International Business and FDI (2 papers) and Consumer Retail Behavior Studies (2 papers). The work is most often cited by research in Marketing (343 citations), Organizational Behavior and Human Resource Management (182 citations), Business and International Management (23 citations), Strategy and Management (153 citations) and Information Systems and Management (50 citations). Mayoor Mohan has collaborated with scholars based in United States, Australia and United Arab Emirates. Frequent co-authors include Kevin E. Voss, Munyaradzi W. Nyadzayo, Riza Casidy, Brian P. Brown, Jodie L. Ferguson, Suzanne C. Makarem, Marina Candi, Haeran Jae, Fernando R. Jiménez and D. Eric Boyd. Their work appears in journals such as Industrial Marketing Management, Journal of Business Research, Journal of Service Research, Journal of Business and Industrial Marketing and Journal of Product & Brand Management.

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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