Laura J. Dixon
- Epidemiology top 2%
- Molecular Biology top 10%
- Clinical Psychology top 2%
- Experimental and Cognitive Psychology top 2%
- Physiology top 5%
- Co-authors
- Ariel E. FeldsteinNaim AlkhouriLaura E. NagyHui TangMichele T. PritchardMark BarnesBrett J. DeaconSamjhana Thapaliya
- Topics
- Child and Adolescent Psychosocial and Emotional Development (23 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (23 papers)Mental Health Research Topics (7 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Laura J. Dixon
68 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Epidemiology 1.1k
- Molecular Biology 841
- Clinical Psychology 719
- Experimental and Cognitive Psychology 489
- Physiology 391
Countries citing papers authored by Laura J. Dixon
This map shows the geographic impact of Laura J. Dixon'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 Laura J. Dixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura J. Dixon more than expected).
Fields of papers citing papers by Laura J. Dixon
This network shows the impact of papers produced by Laura J. Dixon. 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 Laura J. Dixon. The network helps show where Laura J. Dixon may publish in the future.
Co-authorship network of co-authors of Laura J. Dixon
This figure shows the co-authorship network connecting the top 25 collaborators of Laura J. Dixon. A scholar is included among the top collaborators of Laura J. Dixon 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 Laura J. Dixon. Laura J. Dixon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 26 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 11 | |
| 13 | 104 | |
| 14 | 3 | |
| 15 | Kupffer Cells in the Liverbreakdown → | 498 |
| 16 | 170 | |
| 17 | 107 | |
| 18 | 5 | |
| 19 | 307 | |
| 20 | 313 |
About Laura J. Dixon
Laura J. Dixon is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Sensory Systems, having authored 71 papers that have together received 3.5k indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (23 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (23 papers) and Mental Health Research Topics (7 papers). The work is most often cited by research in Hepatology (318 citations), Experimental and Cognitive Psychology (489 citations) and Clinical Psychology (719 citations). Laura J. Dixon has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ariel E. Feldstein, Naim Alkhouri, Laura E. Nagy, Hui Tang, Michele T. Pritchard, Mark Barnes, Brett J. Deacon, Samjhana Thapaliya, Michael Berk and Nicholas R. Farrell. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Development.
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.