Su-Ying Pan

464 citations
17 papers · 339 · h-index 11

Impact in

Papers in

Su-Ying Pan

17 papers receiving 323 citations

Peers

Su-Ying Pan
Comparison fields: 5 of 50
  • Organizational Behavior and Human Resource Management 236
  • Social Psychology 124
  • Applied Psychology 27
  • Human Factors and Ergonomics 11
  • Demography 41
Replace Daniela Weseler with:
Daniela Weseler Germany
Dana McDaniel Sumpter United States
Joseph T. Liu United States
Özge Tayfur Ekmekci Türkiye
Elham Anasori Cyprus
Zen Goh Australia
Dan Ni China
Phillip S. Thompson United States
Janne Kaltiainen Finland
Changguo Mao China
Su-Ying Pan relative to Daniela Weseler Germany Daniela Weseler's profile →
Citations per field
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Daniela Weseler · 1×
Citations per year

Countries citing papers authored by Su-Ying Pan

Since Specialization
Citations

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

Fields of papers citing papers by Su-Ying Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Su-Ying Pan, 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 Su-Ying Pan Line = papers co-authored together Su-Ying Pan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201186
2 201650
3 201746
4 201929
5 202425
6 201518
7 201218
8 202213
9 201911
10 201110
11 202110
12 20209
13 20237
14 20233
15 20252
16 20161
17 20251

About Su-Ying Pan

Su-Ying Pan is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, Social Psychology, Demography and Gender Studies, having authored 17 papers that have together received 339 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (12 papers), Work-Family Balance Challenges (8 papers), Workaholism, burnout, and well-being (4 papers), Gender Diversity and Inequality (3 papers), Workplace Spirituality and Leadership (2 papers), Workplace Violence and Bullying (2 papers), Organizational Learning and Leadership (1 paper) and Family Business Performance and Succession (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (236 citations), Social Psychology (124 citations), Applied Psychology (27 citations), Human Factors and Ergonomics (11 citations) and Demography (41 citations). Su-Ying Pan has collaborated with scholars based in Macao, Taiwan and Singapore. Frequent co-authors include Nai‐Wen Chi, Ying‐Jung Yeh, Katrina Jia Lin, Jose Weng Chou Wong, Remus Ilieș, Helen Pluut, Jen‐Wei Cheng, Aichia Chuang, Ying Xia and Daniel J. McAllister. Their work appears in journals such as International Journal of Contemporary Hospitality Management, The Journal of Social Psychology, International Journal of Hospitality Management, Journal of Leadership & Organizational Studies and Journal of Managerial Psychology.

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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