Ginger Zhe Jin
- Marketing top 1%
- Consumer Market Behavior and Pricing 20
- Health Informatics top 2%
- Economics and Econometrics top 0.5%
- Pharmaceutical Economics and Policy 13
- Healthcare Policy and Management 8
- Safety Research top 1%
- Experimental Behavioral Economics Studies 14
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- Pharmaceutical industry and healthcare 11
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- Auction Theory and Applications 9
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- Digital Platforms and Economics 8
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- Gender, Labor, and Family Dynamics 7
- Co-authors
- David DranoveSeth FreedmanPhillip LeslieAndrew KatoToshiaki IizukaMichael LucaGuang ShiNaresh Kumar
- Partner nations
- United StatesCanadaChina
In The Last Decade
Ginger Zhe Jin
104 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Marketing 852
- Health Informatics 72
- Economics and Econometrics 1.3k
- Safety Research 390
- Management Information Systems 399
Countries citing papers authored by Ginger Zhe Jin
This map shows the geographic impact of Ginger Zhe Jin'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 Ginger Zhe Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ginger Zhe Jin more than expected).
Fields of papers citing papers by Ginger Zhe Jin
This network shows the impact of papers produced by Ginger Zhe Jin. 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 Ginger Zhe Jin. The network helps show where Ginger Zhe Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ginger Zhe Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 19 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 33 | |
| 11 | 2019 | 13 | |
| 12 | Learning by Suffering? Patterns in Flu Shot Take-Up | 2018 | 2 |
| 13 | Mobile Messaging for Offline Social Interactions: A Large Field Experiment | 2015 | 2 |
| 14 | 2014 | 8 | |
| 15 | 2013 | 128 | |
| 16 | 2012 | 4 | |
| 17 | Does Health Insurance Coverage Lead to Better Health and Educational Outcomes? Evidence from Rural China. NBER Working Paper No. 16417. | 2010 | 5 |
| 18 | Price, Quality and Reputation: Evidence from an Online Field Experiment | 2006 | 15 |
| 19 | 2005 | 19 | |
| 20 | The Effects of Direct-to-Consumer Advertising in the Prescription Drug Markets | 2002 | 10 |
About Ginger Zhe Jin
Ginger Zhe Jin is a scholar working on Marketing, Economics and Econometrics and Safety Research, having authored 113 papers that have together received 3.4k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (20 papers), Experimental Behavioral Economics Studies (14 papers), Pharmaceutical Economics and Policy (13 papers), Pharmaceutical industry and healthcare (11 papers), Auction Theory and Applications (9 papers), Digital Platforms and Economics (8 papers), Healthcare Policy and Management (8 papers) and Gender, Labor, and Family Dynamics (7 papers). The work is most often cited by research in Marketing (852 citations), Health Informatics (72 citations) and Economics and Econometrics (1.3k citations). Ginger Zhe Jin has collaborated with scholars based in United States, Canada and China. Frequent co-authors include David Dranove, Seth Freedman, Phillip Leslie, Andrew Kato, Toshiaki Iizuka, Michael Luca, Guang Shi, Naresh Kumar, Yuyu Chen and Alan Sorensen. Their work appears in journals such as Science, PLoS ONE and American Economic Review.
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.