Lisa L. Shu
- Cognitive Neuroscience top 5%
- Sociology and Political Science top 5%
- Information Systems and Management top 1%
- Safety Research top 1%
- Social Psychology top 5%
- Co-authors
- Francesca GinoMax H. BazermanTimothy D. WilsonCarey K. MorewedgeDaniel T. GilbertChia‐Jung TsayNina MažarDan Ariely
- Topics
- Experimental Behavioral Economics Studies (11 papers)Psychology of Moral and Emotional Judgment (9 papers)Ethics in Business and Education (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Personality and Social PsychologyPersonality and Social Psychology Bulletin
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Lisa L. Shu
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 455
- Sociology and Political Science 349
- Information Systems and Management 341
- Safety Research 317
- Social Psychology 239
Countries citing papers authored by Lisa L. Shu
This map shows the geographic impact of Lisa L. Shu'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 Lisa L. Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa L. Shu more than expected).
Fields of papers citing papers by Lisa L. Shu
This network shows the impact of papers produced by Lisa L. Shu. 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 Lisa L. Shu. The network helps show where Lisa L. Shu may publish in the future.
Co-authorship network of co-authors of Lisa L. Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa L. Shu. A scholar is included among the top collaborators of Lisa L. Shu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa L. Shu. Lisa L. Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 5 | |
| 3 | 95 | |
| 4 | Signing at the Beginning Makes Ethics Salient and Decreases Dishonest Self-Reports in Comparison to Signing at the End | 27 |
| 5 | 403 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 32 | |
| 10 | 52 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 13 | |
| 16 | 13 | |
| 17 | 145 | |
| 18 | 219 | |
| 19 | 16 |
About Lisa L. Shu
Lisa L. Shu is a scholar working on General Decision Sciences, Safety Research and Information Systems and Management, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (11 papers), Psychology of Moral and Emotional Judgment (9 papers) and Ethics in Business and Education (7 papers). The work is most often cited by research in General Decision Sciences (181 citations), Information Systems and Management (341 citations) and Safety Research (317 citations). Lisa L. Shu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Francesca Gino, Max H. Bazerman, Timothy D. Wilson, Carey K. Morewedge, Daniel T. Gilbert, Chia‐Jung Tsay, Nina Mažar, Dan Ariely, Katherine L. Milkman and Ashley V. Whillans. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Personality and Social Psychology Bulletin.
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.