Peter W. Gething
Impact in
-
- Mosquito-borne diseases and control
- Malaria Research and Control
- Zoonotic diseases and public health
- Infectious Diseases top 0.1%
- Viral Infections and Vectors
Papers in
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- Malaria Research and Control 101
- Mosquito-borne diseases and control 42
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- COVID-19 epidemiological studies 17
- Co-authors
- Simon Iain Hay (77 shared papers)Samir Bhatt (38 shared papers)Catherine L. Moyes (22 shared papers)Anand P. Patil (24 shared papers)O. Brady (11 shared papers)Jane P. Messina (7 shared papers)Thomas W. Scott (7 shared papers)John S. Brownstein (7 shared papers)
- Journals
- Malaria Journal (33 papers)PLoS Medicine (11 papers)PLoS neglected tropical diseases (11 papers)The Lancet (9 papers)PLoS ONE (8 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Peter W. Gething
175 papers receiving 24.5k citations
Peter W. Gething's Hit Papers
Peers
Comparison fields: 5 of 200
- Public Health, Environmental and Occupational Health 17.5k
- Infectious Diseases 5.9k
- Modeling and Simulation 1.3k
- Parasitology 1.4k
- Insect Science 1.7k
Countries citing papers authored by Peter W. Gething
This map shows the geographic impact of Peter W. Gething'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 Peter W. Gething with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Gething more than expected).
Fields of papers citing papers by Peter W. Gething
This network shows the impact of papers produced by Peter W. Gething. 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 Peter W. Gething. The network helps show where Peter W. Gething may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter W. Gething, 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The global distribution and burden of dengue Hit paper breakdown → | 2013 | 7538 |
| 2 | Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus Hit paper breakdown → | 2012 | 1394 |
| 3 | Global epidemiology of sickle haemoglobin in neonates: a contemporary geostatistical model-based map and population estimates Hit paper breakdown → | 2012 | 869 |
| 4 | A new world malaria map: Plasmodium falciparum endemicity in 2010 Hit paper breakdown → | 2011 | 840 |
| 5 | The dominant Anopheles vectors of human malaria in Africa, Europe and the Middle East: occurrence data, distribution maps and bionomic précis Hit paper breakdown → | 2010 | 547 |
| 6 | A global map of dominant malaria vectors Hit paper breakdown → | 2012 | 521 |
| 7 | A Long Neglected World Malaria Map: Plasmodium vivax Endemicity in 2010 Hit paper breakdown → | 2012 | 442 |
| 8 | Global distribution of the sickle cell gene and geographical confirmation of the malaria hypothesis Hit paper breakdown → | 2010 | 441 |
| 9 | A World Malaria Map: Plasmodium falciparum Endemicity in 2007 Hit paper breakdown → | 2009 | 430 |
| 10 | The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis Hit paper breakdown → | 2011 | 424 |
| 11 | G6PD Deficiency Prevalence and Estimates of Affected Populations in Malaria Endemic Countries: A Geostatistical Model-Based Map Hit paper breakdown → | 2012 | 406 |
| 12 | The International Limits and Population at Risk of Plasmodium vivax Transmission in 2009 Hit paper breakdown → | 2010 | 384 |
| 13 | Modelling adult Aedes aegypti and Aedes albopictus survival at different temperatures in laboratory and field settings Hit paper breakdown → | 2013 | 369 |
| 14 | Averting a malaria disaster: will insecticide resistance derail malaria control? Hit paper breakdown → | 2016 | 357 |
| 15 | 2010 | 303 | |
| 16 | Global temperature constraints on Aedes aegypti and Ae. albopictus persistence and competence for dengue virus transmission Hit paper breakdown → | 2014 | 302 |
| 17 | 2010 | 293 | |
| 18 | Mapping global environmental suitability for Zika virus Hit paper breakdown → | 2016 | 282 |
| 19 | 2011 | 277 | |
| 20 | 2010 | 265 |
About Peter W. Gething
Peter W. Gething is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Parasitology, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 177 papers that have together received 25.3k indexed citations. Recurring topics across this work include Malaria Research and Control (101 papers), Mosquito-borne diseases and control (42 papers), COVID-19 epidemiological studies (17 papers), Global Maternal and Child Health (9 papers), Parasites and Host Interactions (9 papers), Data-Driven Disease Surveillance (7 papers), Viral Infections and Vectors (6 papers) and Child Nutrition and Water Access (6 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (17.5k citations), Infectious Diseases (5.9k citations), Modeling and Simulation (1.3k citations), Parasitology (1.4k citations) and Insect Science (1.7k citations). Peter W. Gething has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Simon Iain Hay, Samir Bhatt, Catherine L. Moyes, Anand P. Patil, O. Brady, Jane P. Messina, Thomas W. Scott, John S. Brownstein, Andrew W. K. Farlow and Anne Gatewood Hoen. Their work appears in journals such as Malaria Journal, PLoS Medicine, PLoS neglected tropical diseases, The Lancet 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.