Que‐Lam Huynh

1.2k total citations
23 papers, 618 citations indexed

About

Que‐Lam Huynh is a scholar working on Sociology and Political Science, Clinical Psychology and Social Psychology. According to data from OpenAlex, Que‐Lam Huynh has authored 23 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 7 papers in Clinical Psychology and 6 papers in Social Psychology. Recurrent topics in Que‐Lam Huynh's work include Racial and Ethnic Identity Research (16 papers), Social and Intergroup Psychology (6 papers) and Cultural Differences and Values (5 papers). Que‐Lam Huynh is often cited by papers focused on Racial and Ethnic Identity Research (16 papers), Social and Intergroup Psychology (6 papers) and Cultural Differences and Values (5 papers). Que‐Lam Huynh collaborates with scholars based in United States, Russia and Italy. Que‐Lam Huynh's co-authors include Verónica Benet‐Martínez, Angela‐MinhTu D. Nguyen, Thierry Devos, Richard M. Lee, Ryan T. Howell, Virginia W. Huynh, Adriana J. Umaña‐Taylor, Seth J. Schwartz, Byron L. Zamboanga and Su Yeong Kim and has published in prestigious journals such as Psychological Assessment, Journal of Social Issues and Journal of Clinical Psychology.

In The Last Decade

Que‐Lam Huynh

23 papers receiving 591 citations

Peers

Que‐Lam Huynh
Comparison fields: 5 of 69
  • Sociology and Political Science 444
  • Clinical Psychology 253
  • Social Psychology 195
  • Education 107
  • Communication 66
Replace Que-Lam Huynh with:
Que-Lam Huynh United States
Jessica A. Latack United States
Peggy H. Yang United States
Mark W. Driscoll United States
Kyunghwa Kwak United Kingdom
Alex L. Pieterse United States
Henry A. Willis United States
Debbiesiu L. Lee United States
Cory L. Cobb United States
Angela Clawson United States
Que-Lam Huynh United States View profile →
Citations per field, relative to Que‐Lam Huynh
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Citations per year, relative to Que‐Lam Huynh
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Countries citing papers authored by Que‐Lam Huynh

Since Specialization
Citations

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

Fields of papers citing papers by Que‐Lam Huynh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Que‐Lam Huynh. 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 Que‐Lam Huynh. The network helps show where Que‐Lam Huynh may publish in the future.

Co-authorship network of co-authors of Que‐Lam Huynh

This figure shows the co-authorship network connecting the top 25 collaborators of Que‐Lam Huynh. A scholar is included among the top collaborators of Que‐Lam Huynh 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 Que‐Lam Huynh. Que‐Lam Huynh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 2
4 2
5 44
6 5
7 41
8 78
9 49
10 43
11 5
12 21
13 96
14 24
15 34
16 21
17 40
18
Variations in biculturalism: Measurement, validity, mental and physical health correlates, and group differences
13
19 10
20 1

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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