Matthew Quaife
- Infectious Diseases top 2%
- Epidemiology top 10%
- Economics and Econometrics top 5%
- General Health Professions top 5%
- Sociology and Political Science top 10%
- Co-authors
- Fern Terris‐PrestholtPeter VickermanGian Luca Di TannaRobyn EakleSinéad Delany‐MoretlweNicolas A. MenziesMaggie Kilbourne‐BrookMercy Mvundura
- Topics
- Economic and Environmental Valuation (24 papers)HIV/AIDS Research and Interventions (18 papers)HIV, Drug Use, Sexual Risk (16 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Matthew Quaife
84 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Infectious Diseases 598
- Epidemiology 373
- Economics and Econometrics 367
- General Health Professions 317
- Sociology and Political Science 162
Countries citing papers authored by Matthew Quaife
This map shows the geographic impact of Matthew Quaife'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 Matthew Quaife with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Quaife more than expected).
Fields of papers citing papers by Matthew Quaife
This network shows the impact of papers produced by Matthew Quaife. 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 Matthew Quaife. The network helps show where Matthew Quaife may publish in the future.
Co-authorship network of co-authors of Matthew Quaife
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Quaife. A scholar is included among the top collaborators of Matthew Quaife 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 Matthew Quaife. Matthew Quaife 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 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 38 | |
| 18 | 12 | |
| 19 | 16 | |
| 20 | 1 |
About Matthew Quaife
Matthew Quaife is a scholar working on Infectious Diseases, Health and Economics and Econometrics, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Economic and Environmental Valuation (24 papers), HIV/AIDS Research and Interventions (18 papers) and HIV, Drug Use, Sexual Risk (16 papers). The work is most often cited by research in Infectious Diseases (598 citations), General Decision Sciences (47 citations) and Modeling and Simulation (88 citations). Matthew Quaife has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Fern Terris‐Prestholt, Peter Vickerman, Gian Luca Di Tanna, Robyn Eakle, Sinéad Delany‐Moretlwe, Nicolas A. Menzies, Maggie Kilbourne‐Brook, Mercy Mvundura, Sedona Sweeney and Richard G. White. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.