Dejun Su

3.6k citations
109 papers · 2.6k · h-index 26

Impact in

Papers in

Dejun Su

103 papers receiving 2.5k citations

Peers

Dejun Su
Comparison fields: 5 of 146
  • Health 177
  • Complementary and alternative medicine 167
  • General Health Professions 493
  • Clinical Psychology 341
  • Social Psychology 282
Replace Adam R. Hafdahl with:
Adam R. Hafdahl United States
Leigh Ann Simmons United States
Christopher Sciamanna United States
Michael L. Berbaum United States
Jeannine S. Schiller United States
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Sarah J. Schmiege United States
Marc Mitchell Canada
Kerem Shuval United States
Masoumeh Simbar Iran
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Citations per field
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Adam R. Hafdahl · 1×
Citations per year

Countries citing papers authored by Dejun Su

Since Specialization
Citations

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

Fields of papers citing papers by Dejun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011267
2 2016235
3 2016130
4 2017123
5 200996
6 201987
7 202185
8 201080
9 201868
10 202166
11 201864
12 201563
13 201359
14 201545
15 202237
16 201136
17 201636
18 200735
19 202329
20 201029

About Dejun Su

Dejun Su is a scholar working on General Health Professions, Clinical Psychology, Public Health, Environmental and Occupational Health, Health and Sociology and Political Science, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include Health disparities and outcomes (10 papers), Migration, Health and Trauma (10 papers), Racial and Ethnic Identity Research (8 papers), Mobile Health and mHealth Applications (7 papers), Obesity, Physical Activity, Diet (7 papers), Employment and Welfare Studies (7 papers), COVID-19 and Mental Health (6 papers) and Global Health Workforce Issues (5 papers). The work is most often cited by research in Health (177 citations), Complementary and alternative medicine (167 citations), General Health Professions (493 citations), Clinical Psychology (341 citations) and Social Psychology (282 citations). Dejun Su has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Lifeng Li, José A. Pagán, Tzeyu L. Michaud, Mohammad Siahpush, Ming Wen, Athena K. Ramos, Junmin Zhou, Fernando A. Wilson, Jim P. Stimpson and Donglan Zhang. Their work appears in journals such as Preventive Medicine Reports, Journal of Immigrant and Minority Health, Telemedicine Journal and e-Health, Preventive Medicine and BMC Public Health.

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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