Nathan Yang

36 papers receiving 346 citations

Peers

Nathan Yang
Comparison fields: 5 of 92
  • Marketing 140
  • Economics and Econometrics 97
  • Strategy and Management 52
  • Information Systems and Management 23
  • Experimental and Cognitive Psychology 30
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Duarte Trigueiros Portugal
Agnieszka Wołk Poland
Eike B. Kroll Germany
Ashwin Aravindakshan United States
Ge Zhang China
Shujie Zhang China
Mayuri Duggirala India
Loïck Menvielle France
Lingling Pan China
Olivier Sibony France
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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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201239
2 201336
3 201636
4 202036
5 201927
6 201727
7 202115
8 202314
9 201213
10 201911
11
Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity
20149
12
March of the Chains: Herding in Restaurant Locations
20129
13 20219
14 20119
15 20218
16 20138
17 20227
18 20176
19 20205
20 20225

About Nathan Yang

Nathan Yang is a scholar working on Marketing, Applied Psychology, Economics and Econometrics, General Decision Sciences and Strategy and Management, having authored 41 papers that have together received 369 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (21 papers), Merger and Competition Analysis (9 papers), Firm Innovation and Growth (6 papers), Digital Platforms and Economics (6 papers), Consumer Retail Behavior Studies (6 papers), Economic theories and models (4 papers), Social Media and Politics (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Marketing (140 citations), Economics and Econometrics (97 citations), Strategy and Management (52 citations), Information Systems and Management (23 citations) and Experimental and Cognitive Psychology (30 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, Jason R. Blevins, K. Sudhir, Rajani Muraleedharan, Ilker Demirkol, Melissa L. Sturge‐Apple, Wendi Heinzelman and Jūra Liaukonytė. Their work appears in journals such as Marketing Science, Management Science, Journal of the Association for Consumer Research, Canadian Respiratory Journal and International Journal of Mobile Communications.

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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