Joshua Nealon

3.0k citations
57 papers · 1.7k indexed · 2 hit papers · h-index 20

Joshua Nealon

56 papers receiving 1.6k citations

Hit Papers

Vaccine effectiveness of one, two...2292016202620192022100200300

Peers

Joshua Nealon
Comparison fields: 5 of 116
  • Modeling and Simulation 238
  • Infectious Diseases 871
  • Public Health, Environmental and Occupational Health 875
  • Health 176
  • Epidemiology 387
Replace Enny S. Paixão with:
Enny S. Paixão Brazil
Fabio Magurano Italy
Tini Garske United Kingdom
Giorgio Guzzetta Italy
Stefano Boros Italy
Yin Wenwu China
William Perea Switzerland
Weizhong Yang China
Francesca Russo Italy
Hannah Clapham Singapore
Joshua Nealon relative to Enny S. Paixão Brazil Enny S. Paixão's profile →
Citations per field
00.5×1.7×
Enny S. Paixão · 1×
Citations per year

Countries citing papers authored by Joshua Nealon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Joshua Nealon, 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 Joshua Nealon Line = papers co-authored together Joshua Nealon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20243
4 20246
5 20242
6 20246
7 20239
8 202317
9 202212
10 20224
11 20221
12
Vaccine effectiveness of one, two, and three doses of BNT162b2 and CoronaVac against COVID-19 in Hong Kong: a population-based observational studybreakdown →
2022229
13 202023
14 2020192
15 201931
16 201813
17 200925
18
Six months of Aedes aegypti control with a novel controlled-release formulation of pyriproxyfen in domestic water storage containers in Cambodia.
200828
19 200845
20 200869

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), Malaria Research and Control (19 papers), Viral Infections and Vectors (18 papers), Respiratory viral infections research (11 papers), Vaccine Coverage and Hesitancy (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and COVID-19 epidemiological studies (7 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 PLoS neglected tropical diseases, International Journal of Infectious Diseases, Vaccine, Influenza and Other Respiratory Viruses and The Journal of 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.

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