Vanessa Sá Leal

40 papers receiving 593 citations

Peers

Vanessa Sá Leal
Comparison fields: 5 of 80
  • Public Health, Environmental and Occupational Health 374
  • General Health Professions 279
  • Nutrition and Dietetics 197
  • Physiology 59
  • Pediatrics, Perinatology and Child Health 56
Replace Rísia Cristina Egito de Menezes with:
Rísia Cristina Egito de Menezes Brazil
Juliana Souza Oliveira Brazil
Carolina Abreu de Carvalho Brazil
Poliana Cristina de Almeida Fonseca Viola Brazil
Ignez Salas Martins Brazil
Bethsáida de Abreu Soares Schmitz Brazil
Luciane Peter Grillo Brazil
Hélène Delisle Canada
Helena Alves de Carvalho Sampaio Brazil
Roger Sodjinou Burkina Faso
Vanessa Sá Leal relative to Rísia Cristina Egito de Menezes Brazil Rísia Cristina Egito de Menezes's profile →
Citations per field
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Rísia Cristina Egito de Menezes · 1×
Citations per year

Countries citing papers authored by Vanessa Sá Leal

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Sá Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa Sá Leal. 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 Vanessa Sá Leal. The network helps show where Vanessa Sá Leal may publish in the future.

Co-authorship network of co-authors of Vanessa Sá Leal

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Sá Leal. A scholar is included among the top collaborators of Vanessa Sá Leal 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 Vanessa Sá Leal. Vanessa Sá Leal 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
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Temporal evolution of and factors associated with anemia among women of reproductive age in the state of Pernambuco, Brazil
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13 19
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15 59
16 45
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18 23
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Fatores associados ao declínio do déficit estatural em crianças \ne adolescentes em Pernambuco
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About Vanessa Sá Leal

Vanessa Sá Leal is a scholar working on Nutrition and Dietetics, General Health Professions and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 607 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (31 papers), Child Nutrition and Water Access (18 papers) and Indigenous Health and Education (14 papers). The work is most often cited by research in Nutrition and Dietetics (197 citations), Public Health, Environmental and Occupational Health (374 citations) and General Health Professions (279 citations). Vanessa Sá Leal has collaborated with scholars based in Brazil, Portugal and Venezuela. Frequent co-authors include Juliana Souza Oliveira, Pedro Israel Cabral de Lira, Rísia Cristina Egito de Menezes, Emília Chagas Costa, Malaquias Batista Filho, Gabriela de Azevedo Abreu, Laura Augusta Barufaldi, Denise Tavares Giannini, Cecília Lacroix de Oliveira and Amanda de Moura Souza. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.

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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