Luiza M. Higa

29 papers receiving 1.7k citations

Hit Papers

Zika virus impairs growth in human neurospheres and brain...20162026201920222016250500750

Peers

Luiza M. Higa
Comparison fields: 5 of 111
  • Public Health, Environmental and Occupational Health 977
  • Infectious Diseases 831
  • Molecular Biology 436
  • Epidemiology 325
  • Biomedical Engineering 186
Replace Rodrigo Delvecchio with:
Rodrigo Delvecchio Brazil
Emily M. Lee United States
Christy Hammack United States
Rodrigo Madeiro da Costa Brazil
Feiran Zhang China
Qing Ye China
Hengli Tang United States
Venkatraman Siddharthan United States
David Paul Germany
Luiza M. Higa relative to Rodrigo Delvecchio Brazil Rodrigo Delvecchio's profile →
Citations per field
00.5×1.5×2.4×
Rodrigo Delvecchio · 1×
Citations per year

Countries citing papers authored by Luiza M. Higa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Luiza M. Higa

This figure shows the co-authorship network connecting the top 25 collaborators of Luiza M. Higa. A scholar is included among the top collaborators of Luiza M. Higa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luiza M. Higa. Luiza M. Higa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 7
4 1
5 4
6 4
7 3
8 5
9 20
10 5
11 13
12 11
13 63
14 29
15 49
16
Exploring brain phenotypic outcomes when Zika virus and protein undernutrition interact during early development
1
17 6
18 79
19 206
20 236

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) and SARS-CoV-2 and COVID-19 Research (5 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. Their work appears in journals such as Science, The Journal of Immunology and PLoS ONE.

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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