Christopher Dye

52.4k citations
283 papers · 41.2k · 24 hit papers · h-index 93

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 112
    • HIV/AIDS Research and Interventions 13
    • Viral Infections and Outbreaks Research 10
    • SARS-CoV-2 and COVID-19 Research 10
    • Research on Leishmaniasis Studies 38
    • Mathematical and Theoretical Epidemiology and Ecology Models 25
    • Malaria Research and Control 23

Christopher Dye

279 papers receiving 38.6k citations

Christopher Dye's Hit Papers

Global disparities in SARS-CoV-2 genomic surveillance 2022 · 187 citations
1870+6+12Years since publication5001k1.5k2k

Peers

Christopher Dye
Comparison fields: 5 of 219
  • Infectious Diseases 20k
  • Modeling and Simulation 2.8k
  • Public Health, Environmental and Occupational Health 8.8k
  • Virology 841
  • Parasitology 477
Replace Moritz U. G. Kraemer with:
Moritz U. G. Kraemer United Kingdom
Christl Ann Donnelly United Kingdom
Christophe Fraser United Kingdom
Oliver George Pybus United Kingdom
Neil M. Ferguson United Kingdom
Azra C. Ghani United Kingdom
Steven Riley United Kingdom
Samir Bhatt United Kingdom
Ira M. Longini United States
Nuno Rodrigues Faria United Kingdom
Christopher Dye relative to Moritz U. G. Kraemer United Kingdom Moritz U. G. Kraemer's profile →
Citations per field
00.5×2×2.8×
Moritz U. G. Kraemer · 1×
Citations per year

Countries citing papers authored by Christopher Dye

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Christopher Dye Line = papers co-authored together Christopher Dye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 283 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global Burden of Tuberculosis
Hit paper breakdown →
19992509
2
The effect of human mobility and control measures on the COVID-19 epidemic in China
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20202137
3
The Growing Burden of Tuberculosis
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20032125
4
Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical model
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20081591
5
An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China
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20201485
6
Infectious diseases of humans: Dynamics and control
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19911273
7
Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil
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20211093
8
Heterogeneities in the transmission of infectious agents: Implications for the design of control programs
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1997958
9
Effect of BCG vaccination on childhood tuberculous meningitis and miliary tuberculosis worldwide: a meta-analysis and assessment of cost-effectiveness
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2006889
10
Drivers of tuberculosis epidemics: The role of risk factors and social determinants
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2009828
11
Estimates of world-wide distribution of child deaths from acute respiratory infections
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2002760
12
Tuberculosis
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2003643
13
Global epidemiology of tuberculosis
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2006591
14
Resurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence
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2021574
15
Global Trends in Resistance to Antituberculosis Drugs
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2001558
16
World Malaria Report, 2008.
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2008537
17
Modeling infectious disease dynamics in the complex landscape of global health
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2015505
18
The Population Dynamics and Control of Tuberculosis
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2010500
19 2006433
20
Global tuberculosis control: surveillance planning financing. WHO report 2008.
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2008427

About Christopher Dye

Christopher Dye is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Modeling and Simulation, Virology and Parasitology, having authored 283 papers that have together received 41.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (112 papers), Research on Leishmaniasis Studies (38 papers), Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Malaria Research and Control (23 papers), COVID-19 epidemiological studies (14 papers), HIV/AIDS Research and Interventions (13 papers), Viral Infections and Outbreaks Research (10 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). The work is most often cited by research in Infectious Diseases (20k citations), Modeling and Simulation (2.8k citations), Public Health, Environmental and Occupational Health (8.8k citations), Virology (841 citations) and Parasitology (477 citations). Christopher Dye has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Brian Gerard Williams, Mario Carlo Raviglione, Catherine J. Watt, Vikram Singh Pathania, Knut Lönnroth, Reuben Granich, Marcos Espinal, Kevin M. De Cock, Dermot Maher and Charles F. Gilks. Their work appears in journals such as Science, The Lancet, Bulletin of the World Health Organization, Parasitology and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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.

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