Luiza M. Higa
- Infectious Diseases top 2%
- Viral Infections and Vectors 10
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 5
- Infectious Encephalopathies and Encephalitis 3
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- Mosquito-borne diseases and control 23
- Malaria Research and Control 3
- Developmental Neuroscience top 5%
- Virology top 10%
- Modeling and Simulation top 5%
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- Virology and Viral Diseases 4
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- Biosensors and Analytical Detection 3
- Co-authors
- Amílcar TanuriPatrícia P. GarcezStevens K. RehenRodrigo DelvecchioErick Correia LoiolaRodrigo Madeiro da CostaJuliana NascimentoPablo Trindade
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthDevelopmental Neuroscience
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
Luiza M. Higa
29 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Infectious Diseases 831
- Public Health, Environmental and Occupational Health 977
- Developmental Neuroscience 85
- Virology 69
- Modeling and Simulation 52
Countries citing papers authored by Luiza M. Higa
This map shows the geographic impact of Luiza M. Higa'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 Luiza M. Higa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luiza M. Higa more than expected).
Fields of papers citing papers by Luiza M. Higa
This network shows the impact of papers produced by Luiza M. Higa. 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 Luiza M. Higa. The network helps show where Luiza M. Higa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luiza M. Higa, 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 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 63 | |
| 14 | 2020 | 29 | |
| 15 | 2020 | 49 | |
| 16 | Exploring brain phenotypic outcomes when Zika virus and protein undernutrition interact during early development | 2018 | 1 |
| 17 | 2018 | 6 | |
| 18 | 2017 | 79 | |
| 19 | 2016 | 206 | |
| 20 | 2015 | 236 |
About Luiza M. Higa
Luiza M. Higa is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Virology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (23 papers), Viral Infections and Vectors (10 papers), SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (5 papers), Virology and Viral Diseases (4 papers), Infectious Encephalopathies and Encephalitis (3 papers), Biosensors and Analytical Detection (3 papers) and Malaria Research and Control (3 papers). The work is most often cited by research in Infectious Diseases (831 citations), Public Health, Environmental and Occupational Health (977 citations) and Developmental Neuroscience (85 citations). Luiza M. Higa has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Amílcar Tanuri, Patrícia P. Garcez, Stevens K. Rehen, Rodrigo Delvecchio, Erick Correia Loiola, Rodrigo Madeiro da Costa, Juliana Nascimento, Pablo Trindade, Rodrigo Brindeiro and Andrea T. Da Poian.
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.