DaHee Han

695 total citations
9 papers, 542 citations indexed

About

DaHee Han is a scholar working on Sociology and Political Science, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, DaHee Han has authored 9 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 5 papers in Social Psychology and 3 papers in Cognitive Neuroscience. Recurrent topics in DaHee Han's work include Social and Intergroup Psychology (4 papers), Cultural Differences and Values (4 papers) and Emotions and Moral Behavior (3 papers). DaHee Han is often cited by papers focused on Social and Intergroup Psychology (4 papers), Cultural Differences and Values (4 papers) and Emotions and Moral Behavior (3 papers). DaHee Han collaborates with scholars based in United States, Canada and Australia. DaHee Han's co-authors include Adam Duhachek, Nidhi Agrawal, Ashok K. Lalwani, Zakary L. Tormala, Joshua M. Liao, Gary Hsieh, Spencer Williams, Soojin Jun, Katharina Reinecke and Joshua E. Rosen and has published in prestigious journals such as Journal of Marketing Research, Journal of Consumer Research and Organizational Behavior and Human Decision Processes.

In The Last Decade

DaHee Han

8 papers receiving 504 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
DaHee Han United States	7	254	240	229	166	71	9	542
Lisa A. Cavanaugh United States	9	290 1.1×	154 0.6×	259 1.1×	101 0.6×	60 0.8×	19	542
Loraine Lau‐Gesk United States	11	346 1.4×	175 0.7×	259 1.1×	66 0.4×	33 0.5×	17	548
Pragya Mathur United States	10	238 0.9×	111 0.5×	194 0.8×	98 0.6×	40 0.6×	13	395
Tamar Avnet United States	8	225 0.9×	101 0.4×	177 0.8×	207 1.2×	29 0.4×	19	446
Danit Ein‐Gar Israel	11	150 0.6×	117 0.5×	205 0.9×	133 0.8×	41 0.6×	23	438
Leilei Gao Hong Kong	8	277 1.1×	108 0.5×	161 0.7×	102 0.6×	55 0.8×	14	439
Emily N. Garbinsky United States	11	254 1.0×	161 0.7×	249 1.1×	77 0.5×	44 0.6×	18	529
Morgan K. Ward United States	6	322 1.3×	154 0.6×	262 1.1×	53 0.3×	52 0.7×	12	517
Nicole Verrochi	2	129 0.5×	96 0.4×	213 0.9×	61 0.4×	58 0.8×	3	392
Jesper H. Nielsen United States	9	193 0.8×	96 0.4×	147 0.6×	74 0.4×	45 0.6×	12	382

Countries citing papers authored by DaHee Han

Since Specialization

Citations

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

Fields of papers citing papers by DaHee Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DaHee Han

This figure shows the co-authorship network connecting the top 25 collaborators of DaHee Han. A scholar is included among the top collaborators of DaHee Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with DaHee Han. DaHee Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Rosen, Joshua E., Spencer Williams, DaHee Han, et al.. (2023). Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults. Healthcare. 11(3). 380–380. 2 indexed citations

2.

Han, DaHee, et al.. (2018). Political identity, preference, and persuasion. Social Influence. 13(4). 177–191. 11 indexed citations

3.

Han, DaHee, Ashok K. Lalwani, & Adam Duhachek. (2017). Power Distance Belief, Power, and Charitable Giving. Journal of Consumer Research. ucw084–ucw084. 82 indexed citations

4.

Han, DaHee, Adam Duhachek, & Nidhi Agrawal. (2016). Coping and Construal Level Matching Drives Health Message Effectiveness via Response Efficacy or Self-Efficacy Enhancement. Journal of Consumer Research. 43(3). 429–447. 97 indexed citations

5.

Han, DaHee, et al.. (2015). Study on Interactive Media Installation of Ecological Museum as Educational Exhibit Contents with Experimental Environment - Focused on the -. Design Convergence Study. 14(1). 147–164. 1 indexed citations

6.

Duhachek, Adam, Zakary L. Tormala, & DaHee Han. (2014). Stability Vs. Change: the Effect of Political Ideology on Product Preference. ACR North American Advances. 18 indexed citations

7.

Han, DaHee, Adam Duhachek, & Nidhi Agrawal. (2014). Emotions Shape Decisions through Construal Level: The Case of Guilt and Shame. Journal of Consumer Research. 41(4). 1047–1064. 131 indexed citations

8.

Agrawal, Nidhi, DaHee Han, & Adam Duhachek. (2012). Emotional agency appraisals influence responses to preference inconsistent information. Organizational Behavior and Human Decision Processes. 120(1). 87–97. 36 indexed citations

9.

Duhachek, Adam, Nidhi Agrawal, & DaHee Han. (2012). Guilt versus Shame: Coping, Fluency, and Framing in the Effectiveness of Responsible Drinking Messages. Journal of Marketing Research. 49(6). 928–941. 164 indexed citations

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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