Onício Leal Neto
- Parasitology top 5%
- Parasites and Host Interactions 9
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 6
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- Global Maternal and Child Health 8
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- Data-Driven Disease Surveillance 11
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- Mobile Health and mHealth Applications 6
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- Parasite Biology and Host Interactions 5
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- COVID-19 and Mental Health 4
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- ICT in Developing Communities 3
- Co-authors
- Constança Simões BarbosaJones AlbuquerqueElainne Christine de Souza GomesGuilherme LichandWayner Vieira de SouzaKarina Conceição Gomes Machado de AraújoMarlo LibelEduarda Ângela Pessoa Cesse
- Journals
- Infection Control and Hospital Epidemiology (1 paper)BMC Infectious Diseases (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- BrazilSwitzerlandUnited States
In The Last Decade
Onício Leal Neto
29 papers receiving 400 citations
Peers
Comparison fields: 5 of 73
- Parasitology 146
- Modeling and Simulation 83
- Pediatrics, Perinatology and Child Health 91
- Public Health, Environmental and Occupational Health 99
- Health Informatics 4
Countries citing papers authored by Onício Leal Neto
This map shows the geographic impact of Onício Leal Neto'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 Onício Leal Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onício Leal Neto more than expected).
Fields of papers citing papers by Onício Leal Neto
This network shows the impact of papers produced by Onício Leal Neto. 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 Onício Leal Neto. The network helps show where Onício Leal Neto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Onício Leal Neto, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 51 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 32 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 28 | |
| 12 | 2020 | 1 | |
| 13 | 2017 | 25 | |
| 14 | 2017 | 5 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 19 | |
| 17 | 2014 | 25 | |
| 18 | 2014 | 9 | |
| 19 | 2013 | 17 | |
| 20 | 2012 | 47 |
About Onício Leal Neto
Onício Leal Neto is a scholar working on Parasitology, Modeling and Simulation and Health Informatics, having authored 32 papers that have together received 415 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (11 papers), Parasites and Host Interactions (9 papers), Global Maternal and Child Health (8 papers), COVID-19 epidemiological studies (6 papers), Mobile Health and mHealth Applications (6 papers), Parasite Biology and Host Interactions (5 papers), COVID-19 and Mental Health (4 papers) and ICT in Developing Communities (3 papers). The work is most often cited by research in Parasitology (146 citations), Modeling and Simulation (83 citations) and Pediatrics, Perinatology and Child Health (91 citations). Onício Leal Neto has collaborated with scholars based in Brazil, Switzerland and United States. Frequent co-authors include Constança Simões Barbosa, Jones Albuquerque, Elainne Christine de Souza Gomes, Guilherme Lichand, Wayner Vieira de Souza, Karina Conceição Gomes Machado de Araújo, Marlo Libel, Eduarda Ângela Pessoa Cesse, Reinaldo Souza‐Santos and George Santiago Dimech. Their work appears in journals such as Infection Control and Hospital Epidemiology, BMC Infectious Diseases and International Journal of Medical Informatics.
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.