Carole Lunny
- General Health Professions top 5%
- Statistics, Probability and Uncertainty top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Physiology top 10%
- Co-authors
- Joanne E. McKenzieSue BrennanSteve McDonaldDawid PieperShawn N. FraserSalmaan KanjiAndrea C. TriccoMark Gilbert
- Topics
- Meta-analysis and systematic reviews (31 papers)Delphi Technique in Research (11 papers)Health Systems, Economic Evaluations, Quality of Life (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECochrane Database of Systematic Reviews
- Partner nations
- CanadaAustraliaUnited Kingdom
In The Last Decade
Carole Lunny
56 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- General Health Professions 364
- Statistics, Probability and Uncertainty 304
- Public Health, Environmental and Occupational Health 277
- Epidemiology 251
- Physiology 203
Countries citing papers authored by Carole Lunny
This map shows the geographic impact of Carole Lunny'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 Carole Lunny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carole Lunny more than expected).
Fields of papers citing papers by Carole Lunny
This network shows the impact of papers produced by Carole Lunny. 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 Carole Lunny. The network helps show where Carole Lunny may publish in the future.
Co-authorship network of co-authors of Carole Lunny
This figure shows the co-authorship network connecting the top 25 collaborators of Carole Lunny. A scholar is included among the top collaborators of Carole Lunny 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 Carole Lunny. Carole Lunny 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 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 9 | |
| 10 | 118 | |
| 11 | 7 | |
| 12 | 56 | |
| 13 | 43 | |
| 14 | 36 | |
| 15 | 109 | |
| 16 | 35 | |
| 17 | 139 | |
| 18 | 19 | |
| 19 | 30 | |
| 20 | 7 |
About Carole Lunny
Carole Lunny is a scholar working on Statistics, Probability and Uncertainty, Health Informatics and Toxicology, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (31 papers), Delphi Technique in Research (11 papers) and Health Systems, Economic Evaluations, Quality of Life (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (304 citations), Microbiology (93 citations) and General Health Professions (364 citations). Carole Lunny has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include Joanne E. McKenzie, Sue Brennan, Steve McDonald, Dawid Pieper, Shawn N. Fraser, Salmaan Kanji, Andrea C. Tricco, Mark Gilbert, Tom Wong and Darlene Taylor. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cochrane Database of Systematic Reviews.
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.