Liana S. E. Hone
- Experimental and Cognitive Psychology top 5%
- Sociology and Political Science top 10%
- Clinical Psychology
- Social Psychology
- Gender Studies top 10%
- Co-authors
- Aaron SellNicholas PoundMichael E. McCulloughMaria TestaEvan C. CarterDebra LiebermanMichael J. ClevelandEric J. Pedersen
- Topics
- Evolutionary Psychology and Human Behavior (8 papers)Sexuality, Behavior, and Technology (6 papers)Adolescent Sexual and Reproductive Health (5 papers)
- Journals
- Journal of Personality and Social PsychologyAlcoholism Clinical and Experimental ResearchAddictive Behaviors
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Liana S. E. Hone
16 papers receiving 315 citations
Peers
Comparison fields: 5 of 55
- Experimental and Cognitive Psychology 174
- Sociology and Political Science 118
- Clinical Psychology 83
- Social Psychology 73
- Gender Studies 65
Countries citing papers authored by Liana S. E. Hone
This map shows the geographic impact of Liana S. E. Hone'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 Liana S. E. Hone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liana S. E. Hone more than expected).
Fields of papers citing papers by Liana S. E. Hone
This network shows the impact of papers produced by Liana S. E. Hone. 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 Liana S. E. Hone. The network helps show where Liana S. E. Hone may publish in the future.
Co-authorship network of co-authors of Liana S. E. Hone
This figure shows the co-authorship network connecting the top 25 collaborators of Liana S. E. Hone. A scholar is included among the top collaborators of Liana S. E. Hone 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 Liana S. E. Hone. Liana S. E. Hone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 19 | |
| 12 | 6 | |
| 13 | 25 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 22 | |
| 17 | 153 | |
| 18 | 41 |
About Liana S. E. Hone
Liana S. E. Hone is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Gender Studies, having authored 18 papers that have together received 323 indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (8 papers), Sexuality, Behavior, and Technology (6 papers) and Adolescent Sexual and Reproductive Health (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (174 citations), Gender Studies (65 citations) and Clinical Psychology (83 citations). Liana S. E. Hone has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Aaron Sell, Nicholas Pound, Michael E. McCullough, Maria Testa, Evan C. Carter, Debra Lieberman, Michael J. Cleveland, Eric J. Pedersen, Thomas McCauley and Weijun Wang. Their work appears in journals such as Journal of Personality and Social Psychology, Alcoholism Clinical and Experimental Research and Addictive Behaviors.
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.