Nathan Yang

25 papers receiving 313 citations

Peers

Nathan Yang
Comparison fields: 5 of 88
  • Marketing 107
  • Information Systems and Management 23
  • Applied Psychology 12
  • Experimental and Cognitive Psychology 32
  • Economics and Econometrics 62
Replace Mayuri Duggirala with:
Mayuri Duggirala India
Cathy (Liu) Yang France
Agnieszka Wołk Poland
Duarte Trigueiros Portugal
Xuejie Yang China
Varol Onur Kayhan United States
Eike B. Kroll Germany
George Miaoulis Greece
Ainslie E. Schultz United States
Daniel Westmattelmann Germany
Nathan Yang relative to Mayuri Duggirala India Mayuri Duggirala's profile →
Citations per field
00.5×1.5×2×2.4×
Mayuri Duggirala · 1×
Citations per year

Countries citing papers authored by Nathan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nathan Yang, 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 Nathan Yang Line = papers co-authored together Nathan Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202042
2 201241
3 201341
4 201629
5 201923
6 202320
7 201720
8 202117
9 201211
10 20219
11 20139
12 20228
13 20198
14 20117
15 20177
16 20217
17
March of the Chains: Herding in Restaurant Locations
20127
18 20226
19 20226
20 20204

About Nathan Yang

Nathan Yang is a scholar working on Marketing, Economics and Econometrics, Applied Psychology, Strategy and Management and Media Technology, having authored 26 papers that have together received 329 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (11 papers), Merger and Competition Analysis (6 papers), Digital Platforms and Economics (3 papers), Consumer Retail Behavior Studies (3 papers), ICT Impact and Policies (2 papers), Behavioral Health and Interventions (2 papers), Mobile Health and mHealth Applications (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Marketing (107 citations), Information Systems and Management (23 citations), Applied Psychology (12 citations), Experimental and Cognitive Psychology (32 citations) and Economics and Econometrics (62 citations). Nathan Yang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mitsuru Igami, Kosuke Uetake, Ahmed Khwaja, Wendi Heinzelman, Rajani Muraleedharan, Ilker Demirkol, Melissa L. Sturge‐Apple, Jūra Liaukonytė, Jason R. Blevins and Weitao Yang. Their work appears in journals such as Marketing Science, Management Science, Journal of the Association for Consumer Research, Production and Operations Management and International Journal of the Economics of Business.

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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