Heather M McIntosh
- Statistics, Probability and Uncertainty top 2%
- Public Health, Environmental and Occupational Health
- General Health Professions top 10%
- Oncology
- Economics and Econometrics top 10%
- Co-authors
- Su GolderYoon K. LokeSteve DuffyJulie GlanvillePiero OlliaroDavid WellerAllen J. DietrichJulietta Patnick
- Topics
- Meta-analysis and systematic reviews (5 papers)Malaria Research and Control (5 papers)Delphi Technique in Research (3 papers)
- Partner nations
- United KingdomCanadaPhilippines
In The Last Decade
Heather M McIntosh
14 papers receiving 472 citations
Peers
Comparison fields: 5 of 107
- Statistics, Probability and Uncertainty 160
- Public Health, Environmental and Occupational Health 125
- General Health Professions 100
- Oncology 88
- Economics and Econometrics 70
Countries citing papers authored by Heather M McIntosh
This map shows the geographic impact of Heather M McIntosh'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 Heather M McIntosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather M McIntosh more than expected).
Fields of papers citing papers by Heather M McIntosh
This network shows the impact of papers produced by Heather M McIntosh. 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 Heather M McIntosh. The network helps show where Heather M McIntosh may publish in the future.
Co-authorship network of co-authors of Heather M McIntosh
This figure shows the co-authorship network connecting the top 25 collaborators of Heather M McIntosh. A scholar is included among the top collaborators of Heather M McIntosh 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 Heather M McIntosh. Heather M McIntosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 23 | |
| 4 | 74 | |
| 5 | 80 | |
| 6 | 49 | |
| 7 | 17 | |
| 8 | 98 | |
| 9 | 49 | |
| 10 | Artemisinin derivatives for treating severe malaria | 20 |
| 11 | 11 | |
| 12 | Treatment of severe malaria with artemisinin derivatives. A systematic review of randomised controlled trials. | 12 |
| 13 | 35 | |
| 14 | Treatment of uncomplicated malaria with artemisinin derivatives. A systematic review of randomised controlled trials. | 10 |
About Heather M McIntosh
Heather M McIntosh is a scholar working on Statistics, Probability and Uncertainty, Toxicology and Statistics and Probability, having authored 14 papers that have together received 491 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (5 papers), Malaria Research and Control (5 papers) and Delphi Technique in Research (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (160 citations), Medical Terminology (2 citations) and Toxicology (18 citations). Heather M McIntosh has collaborated with scholars based in United Kingdom, Canada and Philippines. Frequent co-authors include Su Golder, Yoon K. Loke, Steve Duffy, Julie Glanville, Piero Olliaro, David Weller, Allen J. Dietrich, Julietta Patnick, Anne‐Marie Bagnall and Nerys Woolacott. Their work appears in journals such as The Lancet Oncology, Cochrane Database of Systematic Reviews and Journal of Clinical Epidemiology.
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.