datasets
Impact in
- General Health Professions top 10%
- Geriatric Care and Nursing Homes
-
- Global Health Workforce Issues
Papers in
In The Last Decade
datasets
35 papers receiving 428 citations
Peers
Comparison fields: 5 of 131
- General Health Professions 109
- Emergency Medical Services 27
- Health 30
- Health Information Management 15
- Public Health, Environmental and Occupational Health 89
Countries citing papers authored by datasets
This map shows the geographic impact of datasets'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 datasets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites datasets more than expected).
Fields of papers citing papers by datasets
This network shows the impact of papers produced by datasets. 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 datasets. The network helps show where datasets may publish in the future.
Co-authors
The 2 scholars most cited alongside datasets, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rural and remote health | 2016 | 160 |
| 2 | Therapeutic Goods Administration (TGA) | 2015 | 124 |
| 3 | Australian Breastfeeding Association | 2016 | 31 |
| 4 | ACSQHC – Australian Commission on Safety and Quality in Health Care | 2016 | 21 |
| 5 | Dietitians Association of Australia | 2016 | 18 |
| 6 | Physical activity guidelines for older adults | 2016 | 17 |
| 7 | What is breast cancer | 2015 | 10 |
| 8 | National Asthma Council Australia | 2016 | 7 |
| 9 | PEDro – Physiotherapy Evidence Database | 2015 | 6 |
| 10 | Glycemic Index Foundation | 2016 | 4 |
| 11 | ARPANSA – Australian Radiation Protection and Nuclear Safety Agency | 2015 | 4 |
| 12 | NHMRC – National Health and Medical Research Council | 2016 | 4 |
| 13 | High blood pressure (hypertension) | 2016 | 3 |
| 14 | Breast cancer symptoms | 2015 | 3 |
| 15 | CRUfAD – Clinical Research Unit for Anxiety and Depression | 2016 | 3 |
| 16 | NSW Health Care Complaints Commission | 2015 | 2 |
| 17 | RACS – Royal Australasian College of Surgeons | 2016 | 2 |
| 18 | Health benefits of swimming | 2016 | 2 |
| 19 | Cervical cancer treatment | 2015 | 2 |
| 20 | What is peripheral vascular disease | 2014 | 2 |
About datasets
datasets is a scholar working on Surgery, Oncology, Cardiology and Cardiovascular Medicine, General Health Professions and Health Information Management, having authored 48 papers that have together received 441 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (2 papers), Hemophilia Treatment and Research (1 paper), Metabolism and Genetic Disorders (1 paper), Health Literacy and Information Accessibility (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Food Security and Health in Diverse Populations (1 paper), Global Health Workforce Issues (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in General Health Professions (109 citations), Emergency Medical Services (27 citations), Health (30 citations), Health Information Management (15 citations) and Public Health, Environmental and Occupational Health (89 citations). Frequent co-authors include partners and healthinsite.
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.