Luana Damasceno

16 papers receiving 452 citations

Peers

Luana Damasceno
Comparison fields: 5 of 62
  • Public Health, Environmental and Occupational Health 363
  • Infectious Diseases 272
  • Epidemiology 134
  • Pediatrics, Perinatology and Child Health 86
  • Modeling and Simulation 59
Replace Marília Lavocat Nunes with:
Marília Lavocat Nunes Brazil
Ana Paula Lopes de Melo Brazil
Enrique Vázquez Brazil
Olivier Rollot France
Paula Fabiana Sobral da Silva Brazil
Maria Durce Costa Gomes Carvalho Brazil
Héctor Yuri Conti Wanderley Brazil
Bruno de Paula Freitas Brazil
Liège Maria Abreu de Carvalho Brazil
Prisca Guillemette-Artur French Polynesia
Luana Damasceno relative to Marília Lavocat Nunes Brazil Marília Lavocat Nunes's profile →
Citations per field
00.5×1.5×2.2×
Marília Lavocat Nunes · 1×
Citations per year

Countries citing papers authored by Luana Damasceno

Since Specialization
Citations

This map shows the geographic impact of Luana Damasceno'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 Luana Damasceno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luana Damasceno more than expected).

Fields of papers citing papers by Luana Damasceno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luana Damasceno. 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 Luana Damasceno. The network helps show where Luana Damasceno may publish in the future.

Co-authorship network of co-authors of Luana Damasceno

This figure shows the co-authorship network connecting the top 25 collaborators of Luana Damasceno. A scholar is included among the top collaborators of Luana Damasceno 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 Luana Damasceno. Luana Damasceno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 1
6 3
7 10
8 2
9 7
10 2
11 18
12 4
13 6
14 6
15 90
16 18
17 167
18 100
19 20

About Luana Damasceno

Luana Damasceno is a scholar working on Modeling and Simulation, Infectious Diseases and Family Practice, having authored 19 papers that have together received 456 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (13 papers), Viral Infections and Vectors (8 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Infectious Diseases (272 citations), Modeling and Simulation (59 citations) and Public Health, Environmental and Occupational Health (363 citations). Luana Damasceno has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Patrícia Brasil, Karin Nielsen‐Saines, Alexandre Araújo Cunha dos Santos, Myrna C. Bonaldo, Nathália Dias Furtado, Ana Tereza Ribeiro de Vasconcelos, Noemia S. Lima, Ivonizete Pires Ribeiro, Ricardo Lourenço‐de‐Oliveira and María G. Castro. Their work appears in journals such as PEDIATRICS, The Journal of Infectious Diseases and Frontiers in Pharmacology.

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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2026