Dan Ni

624 citations
53 papers · 369 · h-index 13

Impact in

Papers in

Dan Ni

43 papers receiving 351 citations

Peers

Dan Ni
Comparison fields: 5 of 54
  • Organizational Behavior and Human Resource Management 204
  • Social Psychology 122
  • Applied Psychology 30
  • Clinical Psychology 100
  • Demography 50
Replace Tina Urbach with:
Tina Urbach Germany
Keith L. Zabel United States
Baihe Song China
Phillip S. Thompson United States
Xinhui Jiang China
Lingtao Yu United States
Brian D. Webster United States
Ozgun Burcu Rodopman United States
Yashuo Chen China
Susie S. Cox United States
Dan Ni relative to Tina Urbach Germany Tina Urbach's profile →
Citations per field
00.5×
Tina Urbach · 1×
Citations per year

Countries citing papers authored by Dan Ni

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202227
2 202225
3 202123
4 202221
5 202019
6 202119
7 202118
8 202218
9 202215
10 202214
11 202114
12 202214
13 202214
14 202112
15 202211
16 20229
17 20239
18 20238
19 20247
20 20237

About Dan Ni

Dan Ni is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology, Clinical Psychology, Sociology and Political Science and Applied Psychology, having authored 53 papers that have together received 369 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (30 papers), Mindfulness and Compassion Interventions (10 papers), Personality Traits and Psychology (6 papers), Attachment and Relationship Dynamics (6 papers), Cultural Differences and Values (5 papers), Social and Intergroup Psychology (5 papers), Emotional Intelligence and Performance (5 papers) and Perfectionism, Procrastination, Anxiety Studies (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (204 citations), Social Psychology (122 citations), Applied Psychology (30 citations), Clinical Psychology (100 citations) and Demography (50 citations). Dan Ni has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Xiaoming Zheng, Xin Liu, Lindie H. Liang, Lynda Jiwen Song, P. D. Harms, Wen Wu, Daisy Mui Hung Kee, Hui Liao, Jinlong Zhu and Wansi Chen. Their work appears in journals such as Journal of Organizational Behavior, Journal of Business Research, Journal of Occupational and Organizational Psychology, Journal of Vocational Behavior and Journal of Management & Organization.

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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