Dino Sepúlveda
- Public Health, Environmental and Occupational Health
- General Health Professions
- Physiology
- Epidemiology
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Karen A. RobinsonAllison GatesMichelle PollockCarole LunnyRicardo M. FernandesDavid MoherTianjing LiMichelle Gates
- Topics
- Global Public Health Policies and Epidemiology (3 papers)Clinical practice guidelines implementation (2 papers)Health Policy Implementation Science (2 papers)
- Cited by
- Statistics, Probability and UncertaintyPublic Health, Environmental and Occupational HealthGeriatrics and Gerontology
- Partner nations
- ChileCanadaUnited Kingdom
In The Last Decade
Dino Sepúlveda
7 papers receiving 471 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Public Health, Environmental and Occupational Health 98
- General Health Professions 72
- Physiology 58
- Epidemiology 48
- Statistics, Probability and Uncertainty 47
Countries citing papers authored by Dino Sepúlveda
This map shows the geographic impact of Dino Sepúlveda'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 Dino Sepúlveda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dino Sepúlveda more than expected).
Fields of papers citing papers by Dino Sepúlveda
This network shows the impact of papers produced by Dino Sepúlveda. 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 Dino Sepúlveda. The network helps show where Dino Sepúlveda may publish in the future.
Co-authorship network of co-authors of Dino Sepúlveda
This figure shows the co-authorship network connecting the top 25 collaborators of Dino Sepúlveda. A scholar is included among the top collaborators of Dino Sepúlveda 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 Dino Sepúlveda. Dino Sepúlveda 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 | 0 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | Reporting guideline for overviews of reviews of healthcare interventions: development of the PRIOR statementbreakdown → | 418 |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 5 |
About Dino Sepúlveda
Dino Sepúlveda is a scholar working on Organizational Behavior and Human Resource Management, Dermatology and General Health Professions, having authored 10 papers that have together received 476 indexed citations. Recurring topics across this work include Global Public Health Policies and Epidemiology (3 papers), Clinical practice guidelines implementation (2 papers) and Health Policy Implementation Science (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (47 citations), Public Health, Environmental and Occupational Health (98 citations) and Geriatrics and Gerontology (13 citations). Dino Sepúlveda has collaborated with scholars based in Chile, Canada and United Kingdom. Frequent co-authors include Karen A. Robinson, Allison Gates, Michelle Pollock, Carole Lunny, Ricardo M. Fernandes, David Moher, Tianjing Li, Michelle Gates, Dawid Pieper and Shannon D. Scott. Their work appears in journals such as BMJ, Journal of Clinical Epidemiology and Expert Review of Vaccines.
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.