Daniel Limonta
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Mosquito-borne diseases and control
- Malaria Research and Control
Papers in
-
- Viral Infections and Vectors 13
- Viral Infections and Outbreaks Research 4
- SARS-CoV-2 and COVID-19 Research 3
-
- Mosquito-borne diseases and control 18
- Malaria Research and Control 3
- Co-authors
- Tom C. Hobman (12 shared papers)Anil Kumar (5 shared papers)Shangmei Hou (5 shared papers)Christopher Power (7 shared papers)Adriana M. Airo (4 shared papers)William G. Branton (6 shared papers)Virginia A. Capó (7 shared papers)María G. Guzmán (5 shared papers)
In The Last Decade
Daniel Limonta
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Infectious Diseases 688
- Public Health, Environmental and Occupational Health 577
- Virology 36
- Obstetrics and Gynecology 47
- Immunology 133
Countries citing papers authored by Daniel Limonta
This map shows the geographic impact of Daniel Limonta'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 Daniel Limonta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Limonta more than expected).
Fields of papers citing papers by Daniel Limonta
This network shows the impact of papers produced by Daniel Limonta. 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 Daniel Limonta. The network helps show where Daniel Limonta may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Limonta, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 250 | |
| 2 | 2020 | 170 | |
| 3 | 2020 | 123 | |
| 4 | 2007 | 111 | |
| 5 | 2018 | 74 | |
| 6 | 2018 | 52 | |
| 7 | 2008 | 30 | |
| 8 | 2019 | 30 | |
| 9 | 2011 | 29 | |
| 10 | 2003 | 25 | |
| 11 | 2008 | 24 | |
| 12 | 2019 | 22 | |
| 13 | 2012 | 22 | |
| 14 | 2023 | 19 | |
| 15 | 2013 | 17 | |
| 16 | 2011 | 16 | |
| 17 | 2009 | 15 | |
| 18 | 2021 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2024 | 11 |
About Daniel Limonta
Daniel Limonta is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Obstetrics and Gynecology and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (18 papers), Viral Infections and Vectors (13 papers), Virology and Viral Diseases (4 papers), Viral Infections and Outbreaks Research (4 papers), Malaria Research and Control (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Impact on Reproduction (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Infectious Diseases (688 citations), Public Health, Environmental and Occupational Health (577 citations), Virology (36 citations), Obstetrics and Gynecology (47 citations) and Immunology (133 citations). Daniel Limonta has collaborated with scholars based in Cuba, Canada and Italy. Frequent co-authors include Tom C. Hobman, Anil Kumar, Shangmei Hou, Christopher Power, Adriana M. Airo, William G. Branton, Virginia A. Capó, María G. Guzmán, Valeria Mancinelli and Lara K. Mahal. Their work appears in journals such as Cells, Viruses, Journal of Clinical Virology, International Journal of Infectious Diseases and Scientific Reports.
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.