Emma Su
Impact in
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- Entrepreneurship Studies and Influences
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- Family Business Performance and Succession
Papers in
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- Family Business Performance and Succession 15
- Human Resource and Talent Management 1
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- Entrepreneurship Studies and Influences 13
- Co-authors
- Junsheng Dou (9 shared papers)Joshua J. Daspit (1 shared paper)Michael Carney (1 shared paper)Daniel T. Holt (1 shared paper)Shengxiao Li (1 shared paper)Esra Memili (3 shared papers)Ning Wang (1 shared paper)Hanqing Fang (1 shared paper)
- Journals
- Family Business Review (4 papers)Journal of Business Research (2 papers)Asia Pacific Journal of Management (1 paper)Emerging Markets Finance and Trade (1 paper)Journal of Knowledge Management (1 paper)
- Partner nations
- United StatesChinaLebanon
In The Last Decade
Emma Su
16 papers receiving 346 citations
Peers
Comparison fields: 5 of 30
- Management of Technology and Innovation 204
- Organizational Behavior and Human Resource Management 274
- Accounting 181
- Business and International Management 24
- Strategy and Management 82
Countries citing papers authored by Emma Su
This map shows the geographic impact of Emma 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 Emma Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Su more than expected).
Fields of papers citing papers by Emma Su
This network shows the impact of papers produced by Emma 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 Emma Su. The network helps show where Emma Su may publish in the future.
Co-authors
The 17 scholars most cited alongside Emma Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2014 | 62 | |
| 3 | 2021 | 47 | |
| 4 | 2012 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2013 | 28 | |
| 7 | 2020 | 28 | |
| 8 | 2024 | 11 | |
| 9 | 2020 | 8 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2025 | 0 |
About Emma Su
Emma Su is a scholar working on Organizational Behavior and Human Resource Management, Management of Technology and Innovation, Accounting, Sociology and Political Science and Strategy and Management, having authored 17 papers that have together received 352 indexed citations. Recurring topics across this work include Family Business Performance and Succession (15 papers), Entrepreneurship Studies and Influences (13 papers), Corporate Finance and Governance (9 papers), Migration, Ethnicity, and Economy (4 papers), Human Resource and Talent Management (1 paper), Financial Markets and Investment Strategies (1 paper), International Business and FDI (1 paper) and Private Equity and Venture Capital (1 paper). The work is most often cited by research in Management of Technology and Innovation (204 citations), Organizational Behavior and Human Resource Management (274 citations), Accounting (181 citations), Business and International Management (24 citations) and Strategy and Management (82 citations). Emma Su has collaborated with scholars based in United States, China and Lebanon. Frequent co-authors include Junsheng Dou, Joshua J. Daspit, Michael Carney, Daniel T. Holt, Shengxiao Li, Esra Memili, Ning Wang, Hanqing Fang, Clay Dibrell and Zonghui Li. Their work appears in journals such as Family Business Review, Journal of Business Research, Asia Pacific Journal of Management, Emerging Markets Finance and Trade and Journal of Knowledge Management.
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.