Joshua Nealon
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 2%
- Epidemiology top 10%
- Modeling and Simulation top 1%
- Sociology and Political Science top 10%
- Co-authors
- Kristie L. EbiBenjamin J. CowlingTo SethaChang Moh SengPeng WuEric H. Y. LauGM LeungJustin Cheung
- Topics
- Mosquito-borne diseases and control (24 papers)Influenza Virus Research Studies (21 papers)Malaria Research and Control (19 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Partner nations
- FranceUnited StatesHong Kong
In The Last Decade
Joshua Nealon
56 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Public Health, Environmental and Occupational Health 875
- Infectious Diseases 871
- Epidemiology 387
- Modeling and Simulation 238
- Sociology and Political Science 221
Countries citing papers authored by Joshua Nealon
This map shows the geographic impact of Joshua Nealon'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 Joshua Nealon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Nealon more than expected).
Fields of papers citing papers by Joshua Nealon
This network shows the impact of papers produced by Joshua Nealon. 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 Joshua Nealon. The network helps show where Joshua Nealon may publish in the future.
Co-authorship network of co-authors of Joshua Nealon
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Nealon. A scholar is included among the top collaborators of Joshua Nealon 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 Joshua Nealon. Joshua Nealon 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 | 4 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | Vaccine effectiveness of one, two, and three doses of BNT162b2 and CoronaVac against COVID-19 in Hong Kong: a population-based observational studybreakdown → | 229 |
| 13 | 23 | |
| 14 | 192 | |
| 15 | 31 | |
| 16 | 13 | |
| 17 | 25 | |
| 18 | Six months of Aedes aegypti control with a novel controlled-release formulation of pyriproxyfen in domestic water storage containers in Cambodia. | 28 |
| 19 | 45 | |
| 20 | 69 |
About Joshua Nealon
Joshua Nealon is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (24 papers), Influenza Virus Research Studies (21 papers) and Malaria Research and Control (19 papers). The work is most often cited by research in Modeling and Simulation (238 citations), Infectious Diseases (871 citations) and Public Health, Environmental and Occupational Health (875 citations). Joshua Nealon has collaborated with scholars based in France, United States and Hong Kong. Frequent co-authors include Kristie L. Ebi, Benjamin J. Cowling, To Setha, Chang Moh Seng, Peng Wu, Eric H. Y. Lau, GM Leung, Justin Cheung, Jessica Y. Wong and Sandra S. Chaves. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Clinical Infectious Diseases.
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.