Jun Gu
Impact in
- Hepatology top 10%
- Hepatitis C virus research
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- Job Satisfaction and Organizational Behavior
Papers in
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- Job Satisfaction and Organizational Behavior 14
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- Workaholism, burnout, and well-being 3
- Co-authors
- Chen‐Bo Zhong (2 shared papers)Francesca Gino (1 shared paper)Cristina Neesham (3 shared papers)Herman H. M. Tse (6 shared papers)Catherine K. Lam (1 shared paper)Elizabeth Page‐Gould (1 shared paper)Lin Xiao (1 shared paper)Heidi E. Drummer (3 shared papers)
In The Last Decade
Jun Gu
36 papers receiving 538 citations
Peers
Comparison fields: 5 of 97
- Hepatology 112
- Organizational Behavior and Human Resource Management 133
- Information Systems and Management 81
- General Decision Sciences 13
- Virology 29
Countries citing papers authored by Jun Gu
This map shows the geographic impact of Jun Gu'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 Jun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gu more than expected).
Fields of papers citing papers by Jun Gu
This network shows the impact of papers produced by Jun Gu. 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 Jun Gu. The network helps show where Jun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 83 | |
| 2 | 2016 | 56 | |
| 3 | 2018 | 46 | |
| 4 | 2015 | 42 | |
| 5 | 2012 | 35 | |
| 6 | 2005 | 30 | |
| 7 | 2014 | 27 | |
| 8 | 2015 | 24 | |
| 9 | 2022 | 21 | |
| 10 | 2018 | 20 | |
| 11 | 2014 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2012 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2017 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2022 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 9 |
About Jun Gu
Jun Gu is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology, Sociology and Political Science, Information Systems and Management and Cognitive Neuroscience, having authored 39 papers that have together received 562 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (14 papers), Ethics in Business and Education (7 papers), Psychology of Moral and Emotional Judgment (6 papers), Social and Intergroup Psychology (6 papers), Gender Diversity and Inequality (4 papers), Workplace Spirituality and Leadership (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Workaholism, burnout, and well-being (3 papers). The work is most often cited by research in Hepatology (112 citations), Organizational Behavior and Human Resource Management (133 citations), Information Systems and Management (81 citations), General Decision Sciences (13 citations) and Virology (29 citations). Jun Gu has collaborated with scholars based in Australia, China and Canada. Frequent co-authors include Chen‐Bo Zhong, Francesca Gino, Cristina Neesham, Herman H. M. Tse, Catherine K. Lam, Elizabeth Page‐Gould, Lin Xiao, Heidi E. Drummer, Irene Boo and Pantelis Poumbourios. Their work appears in journals such as Journal of Business Ethics, Journal of Organizational Behavior, Journal of Business Research, Personnel Review and Journal of Experimental Social 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.