Christopher Dye
Impact in
- Infectious Diseases top 0.01%
- Tuberculosis Research and Epidemiology
- HIV/AIDS Research and Interventions
- Modeling and Simulation top 0.02%
- COVID-19 epidemiological studies
Papers in
-
- Tuberculosis Research and Epidemiology 91
-
- Research on Leishmaniasis Studies 35
- Malaria Research and Control 14
- Mosquito-borne diseases and control 14
- Co-authors
- Brian Williams (59 shared papers)Mario Raviǵlione (22 shared papers)Catherine Watt (9 shared papers)Vikram Pathania (1 shared paper)Knut Lönnroth (6 shared papers)Reuben Granich (7 shared papers)Marcos Espinal (12 shared papers)Kevin M. De Cock (6 shared papers)
- Journals
- Science (13 papers)The Lancet (12 papers)Parasitology (11 papers)Transactions of the Royal Society of Tropical Medicine and Hygiene (8 papers)Bulletin of the World Health Organization (7 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Christopher Dye
246 papers receiving 34.2k citations
Christopher Dye's Hit Papers
Peers
Comparison fields: 5 of 213
- Infectious Diseases 17.3k
- Modeling and Simulation 4.0k
- Epidemiology 11.1k
- Virology 1.3k
- Public Health, Environmental and Occupational Health 7.5k
Countries citing papers authored by Christopher Dye
This map shows the geographic impact of Christopher Dye'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 Christopher Dye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Dye more than expected).
Fields of papers citing papers by Christopher Dye
This network shows the impact of papers produced by Christopher Dye. 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 Christopher Dye. The network helps show where Christopher Dye may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Dye, 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 248 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global Burden of Tuberculosis Hit paper breakdown → | 1999 | 2491 |
| 2 | The Growing Burden of Tuberculosis Hit paper breakdown → | 2003 | 2109 |
| 3 | The effect of human mobility and control measures on the COVID-19 epidemic in China Hit paper breakdown → | 2020 | 2016 |
| 4 | Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical model Hit paper breakdown → | 2008 | 1484 |
| 5 | An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China Hit paper breakdown → | 2020 | 1405 |
| 6 | Infectious diseases of humans: Dynamics and control Hit paper breakdown → | 1991 | 1283 |
| 7 | Heterogeneities in the transmission of infectious agents: Implications for the design of control programs Hit paper breakdown → | 1997 | 927 |
| 8 | Effect of BCG vaccination on childhood tuberculous meningitis and miliary tuberculosis worldwide: a meta-analysis and assessment of cost-effectiveness Hit paper breakdown → | 2006 | 837 |
| 9 | Drivers of tuberculosis epidemics: The role of risk factors and social determinants Hit paper breakdown → | 2009 | 781 |
| 10 | Estimates of world-wide distribution of child deaths from acute respiratory infections Hit paper breakdown → | 2002 | 750 |
| 11 | Ecology of Infectious Diseases in Natural Populations Hit paper breakdown → | 1995 | 686 |
| 12 | Tuberculosis Hit paper breakdown → | 2003 | 630 |
| 13 | Global epidemiology of tuberculosis Hit paper breakdown → | 2006 | 592 |
| 14 | Global Trends in Resistance to Antituberculosis Drugs Hit paper breakdown → | 2001 | 550 |
| 15 | World Malaria Report, 2008. Hit paper breakdown → | 2008 | 525 |
| 16 | The Population Dynamics and Control of Tuberculosis Hit paper breakdown → | 2010 | 473 |
| 17 | Global tuberculosis control: surveillance planning financing. WHO report 2008. | 2008 | 424 |
| 18 | 2006 | 422 | |
| 19 | 2008 | 411 | |
| 20 | 2005 | 410 |
About Christopher Dye
Christopher Dye is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Modeling and Simulation and Genetics, having authored 248 papers that have together received 36.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (91 papers), Research on Leishmaniasis Studies (35 papers), COVID-19 epidemiological studies (24 papers), Pneumocystis jirovecii pneumonia detection and treatment (19 papers), Pneumonia and Respiratory Infections (17 papers), Trypanosoma species research and implications (17 papers), Malaria Research and Control (14 papers) and Mosquito-borne diseases and control (14 papers). The work is most often cited by research in Infectious Diseases (17.3k citations), Modeling and Simulation (4.0k citations), Epidemiology (11.1k citations), Virology (1.3k citations) and Public Health, Environmental and Occupational Health (7.5k citations). Christopher Dye has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Brian Williams, Mario Raviǵlione, Catherine Watt, Vikram Pathania, Knut Lönnroth, Reuben Granich, Marcos Espinal, Kevin M. De Cock, Dermot Maher and Katherine Floyd. Their work appears in journals such as Science, The Lancet, Parasitology, Transactions of the Royal Society of Tropical Medicine and Hygiene and Bulletin of the World Health Organization.
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.