Danielle Newton
- General Health Professions top 5%
- Clinical Psychology top 5%
- Sociology and Political Science top 5%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- Marita P. McCabeJane McGillivrayStephane M. ShepherdAndrew DayYin ParadiesCynthia Willis-EsquedaDiane SivasubramaniamLouise Keogh
- Topics
- Criminal Justice and Corrections Analysis (7 papers)Psychopathy, Forensic Psychiatry, Sexual Offending (5 papers)Migration, Health and Trauma (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC Public HealthBMC Health Services Research
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Danielle Newton
48 papers receiving 865 citations
Peers
Comparison fields: 5 of 99
- General Health Professions 326
- Clinical Psychology 284
- Sociology and Political Science 264
- Public Health, Environmental and Occupational Health 248
- Epidemiology 115
Countries citing papers authored by Danielle Newton
This map shows the geographic impact of Danielle Newton'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 Danielle Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Newton more than expected).
Fields of papers citing papers by Danielle Newton
This network shows the impact of papers produced by Danielle Newton. 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 Danielle Newton. The network helps show where Danielle Newton may publish in the future.
Co-authorship network of co-authors of Danielle Newton
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Newton. A scholar is included among the top collaborators of Danielle Newton 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 Danielle Newton. Danielle Newton 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 | 1 | |
| 3 | 24 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 46 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 22 | |
| 11 | 78 | |
| 12 | Treading softly softly: A qualitative study of family physicians' experiences of identifying, managing and treating depression among patients from three ethnic communities | 1 |
| 13 | 28 | |
| 14 | 50 | |
| 15 | 17 | |
| 16 | 36 | |
| 17 | 15 | |
| 18 | 13 | |
| 19 | 75 | |
| 20 | 4 |
About Danielle Newton
Danielle Newton is a scholar working on Equine, Clinical Psychology and Safety Research, having authored 52 papers that have together received 913 indexed citations. Recurring topics across this work include Criminal Justice and Corrections Analysis (7 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (5 papers) and Migration, Health and Trauma (5 papers). The work is most often cited by research in Microbiology (93 citations), Clinical Psychology (284 citations) and General Health Professions (326 citations). Danielle Newton has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Marita P. McCabe, Jane McGillivray, Stephane M. Shepherd, Andrew Day, Yin Paradies, Cynthia Willis-Esqueda, Diane Sivasubramaniam, Louise Keogh, Christopher K. Fairley and Jane S. Hocking. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Public Health and BMC Health Services Research.
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.