Jisu Huh

2.5k citations
87 papers · 2.0k · h-index 25

Impact in

  • Marketing top 1%
    • Consumer Behavior in Brand Consumption and Identification
  • Pharmacology top 0.5%
    • Pharmaceutical industry and healthcare

Papers in

Jisu Huh

82 papers receiving 1.8k citations

Peers

Jisu Huh
Comparison fields: 5 of 109
  • Marketing 585
  • Pharmacology 438
  • Applied Psychology 221
  • Communication 294
  • Medical Terminology 8
Replace Leonard N. Reid with:
Leonard N. Reid United States
Dena Cox United States
Jason Dana United States
Bruce A. Huhmann United States
Karen Whitehill King United States
Soontae An South Korea
Jeremy Kees United States
Rosemary J. Avery United States
Daylian M. Cain United States
Mariea Grubbs Hoy United States
Jisu Huh relative to Leonard N. Reid United States Leonard N. Reid's profile →
Citations per field
00.5×1.5×2.1×
Leonard N. Reid · 1×
Citations per year

Countries citing papers authored by Jisu Huh

Since Specialization
Citations

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

Fields of papers citing papers by Jisu Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011112
2 201493
3 200588
4 202385
5 200476
6 200473
7 201070
8 202068
9 202066
10 201665
11 201262
12 201158
13 200554
14 200449
15 200447
16 200645
17 201044
18 200943
19 201738
20 200630

About Jisu Huh

Jisu Huh is a scholar working on Sociology and Political Science, Marketing, Pharmacology, Information Systems and Management and Applied Psychology, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmaceutical industry and healthcare (29 papers), Digital Marketing and Social Media (26 papers), Consumer Behavior in Brand Consumption and Identification (26 papers), Behavioral Health and Interventions (13 papers), Technology Adoption and User Behaviour (12 papers), Pharmaceutical Economics and Policy (11 papers), Social Media in Health Education (9 papers) and Health Literacy and Information Accessibility (7 papers). The work is most often cited by research in Marketing (585 citations), Pharmacology (438 citations), Applied Psychology (221 citations), Communication (294 citations) and Medical Terminology (8 citations). Jisu Huh has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Denise E. DeLorme, Leonard N. Reid, Wonsun Shin, Ronald J. Faber, Brenda J. Cude, Hyejin Kim, Lee B. Becker, Edward C. Malthouse, Michelle R. Nelson and Cristel Antonia Russell. Their work appears in journals such as Journal of Advertising, Journal of Health Communication, International Journal of Advertising, Journal of Current Issues & Research in Advertising and Health Communication.

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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