Neil M. Ferguson
Impact in
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.05%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
Papers in
-
- COVID-19 epidemiological studies 109
-
- Mosquito-borne diseases and control 41
- Co-authors
- Christophe Fraser (45 shared papers)Roy M. Anderson (60 shared papers)Simon Cauchemez (43 shared papers)Christl A. Donnelly (80 shared papers)Azra C. Ghani (70 shared papers)Steven Riley (26 shared papers)Derek A. T. Cummings (10 shared papers)Donald S. Burke (5 shared papers)
- Journals
- Nature (15 papers)Proceedings of the Royal Society B Biological Sciences (15 papers)Journal of The Royal Society Interface (13 papers)PLoS Computational Biology (13 papers)Epidemics (11 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Neil M. Ferguson
298 papers receiving 26.0k citations
Neil M. Ferguson's Hit Papers
Peers
Comparison fields: 5 of 208
- Modeling and Simulation 10.5k
- Infectious Diseases 7.2k
- Public Health, Environmental and Occupational Health 7.1k
- Epidemiology 7.6k
- Agronomy and Crop Science 2.4k
Countries citing papers authored by Neil M. Ferguson
This map shows the geographic impact of Neil M. Ferguson'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 Neil M. Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil M. Ferguson more than expected).
Fields of papers citing papers by Neil M. Ferguson
This network shows the impact of papers produced by Neil M. Ferguson. 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 Neil M. Ferguson. The network helps show where Neil M. Ferguson may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil M. Ferguson, 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 307 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Strategies for mitigating an influenza pandemic Hit paper breakdown → | 2006 | 1691 |
| 2 | Strategies for containing an emerging influenza pandemic in Southeast Asia Hit paper breakdown → | 2005 | 1459 |
| 3 | A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics Hit paper breakdown → | 2013 | 910 |
| 4 | Time Lines of Infection and Disease in Human Influenza: A Review of Volunteer Challenge Studies Hit paper breakdown → | 2008 | 886 |
| 5 | Transmission Dynamics of the Etiological Agent of SARS in Hong Kong: Impact of Public Health Interventions Hit paper breakdown → | 2003 | 872 |
| 6 | Factors that make an infectious disease outbreak controllable Hit paper breakdown → | 2004 | 800 |
| 7 | Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong Hit paper breakdown → | 2003 | 722 |
| 8 | Ecological and immunological determinants of influenza evolution Hit paper breakdown → | 2003 | 544 |
| 9 | The Foot-and-Mouth Epidemic in Great Britain: Pattern of Spread and Impact of Interventions Hit paper breakdown → | 2001 | 531 |
| 10 | The effect of public health measures on the 1918 influenza pandemic in U.S. cities Hit paper breakdown → | 2007 | 530 |
| 11 | Estimating the impact of school closure on influenza transmission from Sentinel data Hit paper breakdown → | 2008 | 516 |
| 12 | Modeling targeted layered containment of an influenza pandemic in the United States Hit paper breakdown → | 2008 | 503 |
| 13 | 1996 | 467 | |
| 14 | Reducing Plasmodium falciparum Malaria Transmission in Africa: A Model-Based Evaluation of Intervention Strategies Hit paper breakdown → | 2010 | 427 |
| 15 | 2009 | 423 | |
| 16 | 2009 | 393 | |
| 17 | 2004 | 373 | |
| 18 | 2001 | 346 | |
| 19 | Assessing the global threat from Zika virus Hit paper breakdown → | 2016 | 309 |
| 20 | 2003 | 297 |
About Neil M. Ferguson
Neil M. Ferguson is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology and Agronomy and Crop Science, having authored 307 papers that have together received 27.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (109 papers), Influenza Virus Research Studies (56 papers), Mosquito-borne diseases and control (41 papers), Animal Disease Management and Epidemiology (36 papers), Prion Diseases and Protein Misfolding (27 papers), Viral Infections and Outbreaks Research (26 papers), SARS-CoV-2 and COVID-19 Research (25 papers) and Viral Infections and Vectors (24 papers). The work is most often cited by research in Modeling and Simulation (10.5k citations), Infectious Diseases (7.2k citations), Public Health, Environmental and Occupational Health (7.1k citations), Epidemiology (7.6k citations) and Agronomy and Crop Science (2.4k citations). Neil M. Ferguson has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Christophe Fraser, Roy M. Anderson, Simon Cauchemez, Christl A. Donnelly, Azra C. Ghani, Steven Riley, Derek A. T. Cummings, Donald S. Burke, Anne Cori and Philip C. Cooley. Their work appears in journals such as Nature, Proceedings of the Royal Society B Biological Sciences, Journal of The Royal Society Interface, PLoS Computational Biology and Epidemics.
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.