Tam-Tri Le

48 papers receiving 653 citations

Peers

Tam-Tri Le
Comparison fields: 5 of 110
  • Social Psychology 111
  • Applied Psychology 25
  • Information Systems and Management 34
  • Family Practice 8
  • Communication 33
Replace Fiona J. Newton with:
Fiona J. Newton Australia
David Halpern United Kingdom
Béatrice d’Hombres Italy
Salman Majeed China
Filomena Maggino Italy
Sibila Marques Portugal
Jinok Susanna Kim South Korea
Kyung Hee Lee South Korea
So Young Bae South Korea
Megan Woods Australia
Tam-Tri Le relative to Fiona J. Newton Australia Fiona J. Newton's profile →
Citations per field
00.5×3.6×
Fiona J. Newton · 1×
Citations per year

Countries citing papers authored by Tam-Tri Le

Since Specialization
Citations

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

Fields of papers citing papers by Tam-Tri Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tam-Tri Le. 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 Tam-Tri Le. The network helps show where Tam-Tri Le may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202290
2 202284
3 202156
4 201953
5 202330
6 202127
7 202226
8 202126
9 202226
10 202126
11 202324
12 202320
13 202216
14 202313
15 202212
16 202111
17 202311
18 202011
19 20219
20 20249

About Tam-Tri Le

Tam-Tri Le is a scholar working on Social Psychology, Sociology and Political Science, Experimental and Cognitive Psychology, Health, Toxicology and Mutagenesis and Health, having authored 52 papers that have together received 670 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (4 papers), Mental Health Research Topics (4 papers), Urban Transport and Accessibility (3 papers), Health disparities and outcomes (3 papers), Cultural Differences and Values (3 papers), scientometrics and bibliometrics research (3 papers), Media Influence and Health (3 papers) and Mental Health Treatment and Access (3 papers). The work is most often cited by research in Social Psychology (111 citations), Applied Psychology (25 citations), Information Systems and Management (34 citations), Family Practice (8 citations) and Communication (33 citations). Tam-Tri Le has collaborated with scholars based in Vietnam, China and Japan. Frequent co-authors include Minh‐Hoang Nguyen, Quan‐Hoang Vuong, Viet‐Phuong La, Nguyễn Thanh Thanh Huyền, Manh‐Toan Ho, Ruining Jin, Quy Van Khuc, Serik Meirmanov, Hong‐Kong T. Nguyen and Thu‐Trang Vuong. Their work appears in journals such as International Journal of Environmental Research and Public Health, Sustainability, Frontiers in Psychology, MethodsX and International Journal of Intercultural Relations.

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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