Judith Mora
- Infectious Diseases top 5%
- Viral Infections and Vectors 5
- SARS-CoV-2 and COVID-19 Research 1
- COVID-19 Clinical Research Studies 1
- Viral Infections and Outbreaks Research 1
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- Mosquito-borne diseases and control 4
- Modeling and Simulation top 10%
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- Fire effects on ecosystems 3
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- Insect symbiosis and bacterial influences 1
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- Dengue and Mosquito Control Research 1
- Co-authors
- Jorge FernándezRodrigo FasceJavier TognarelliSoledad UlloaEugenio Ramı́rezCarolina AguayoJaime LagosBárbara Parra
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Journals
- Archives of Virology (2 papers)Biological Research (1 paper)Journal of Medical Virology (1 paper)
- Partner nations
- ChileUnited States
In The Last Decade
Judith Mora
6 papers receiving 294 citations
Peers
Comparison fields: 5 of 39
- Infectious Diseases 266
- Public Health, Environmental and Occupational Health 226
- Modeling and Simulation 26
- Global and Planetary Change 50
- Insect Science 23
Countries citing papers authored by Judith Mora
This map shows the geographic impact of Judith Mora'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 Judith Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Mora more than expected).
Fields of papers citing papers by Judith Mora
This network shows the impact of papers produced by Judith Mora. 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 Judith Mora. The network helps show where Judith Mora may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Judith Mora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 19 | |
| 2 | 2015 | 187 | |
| 3 | 2011 | 7 | |
| 4 | 2008 | 7 | |
| 5 | 2003 | 16 | |
| 6 | 2002 | 65 |
About Judith Mora
Judith Mora is a scholar working on Infectious Diseases, Global and Planetary Change, Public Health, Environmental and Occupational Health, Animal Science and Zoology and Insect Science, having authored 6 papers that have together received 301 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Mosquito-borne diseases and control (4 papers), Fire effects on ecosystems (3 papers), Dengue and Mosquito Control Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Insect symbiosis and bacterial influences (1 paper), COVID-19 Clinical Research Studies (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Infectious Diseases (266 citations), Public Health, Environmental and Occupational Health (226 citations), Modeling and Simulation (26 citations), Global and Planetary Change (50 citations) and Insect Science (23 citations). Judith Mora has collaborated with scholars based in Chile and United States. Frequent co-authors include Jorge Fernández, Rodrigo Fasce, Javier Tognarelli, Soledad Ulloa, Eugenio Ramı́rez, Carolina Aguayo, Jaime Lagos, Bárbara Parra, H. Galeno and Grégory Mertz. Their work appears in journals such as Archives of Virology, Biological Research, Journal of Medical Virology, Emerging infectious diseases and Archivos de medicina veterinaria.
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.