Sheila Maria Alvim Matos

3.1k total citations · 1 hit paper
93 papers, 2.1k citations indexed

About

Sheila Maria Alvim Matos is a scholar working on Public Health, Environmental and Occupational Health, Physiology and General Health Professions. According to data from OpenAlex, Sheila Maria Alvim Matos has authored 93 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Public Health, Environmental and Occupational Health, 28 papers in Physiology and 19 papers in General Health Professions. Recurrent topics in Sheila Maria Alvim Matos's work include Obesity, Physical Activity, Diet (54 papers), Nutritional Studies and Diet (29 papers) and Physical Activity and Health (15 papers). Sheila Maria Alvim Matos is often cited by papers focused on Obesity, Physical Activity, Diet (54 papers), Nutritional Studies and Diet (29 papers) and Physical Activity and Health (15 papers). Sheila Maria Alvim Matos collaborates with scholars based in Brazil, United Kingdom and Portugal. Sheila Maria Alvim Matos's co-authors include Sandhi Maria Barreto, María Inês Schmidt, Bruce Bartholow Duncan, María del Carmen Bisi Molina, Dóra Chor, Paulo A. Lotufo, Estela M. L. Aquino, Isabela M. Benseñor, Marília Sá Carvalho and Valéria Maria de Azeredo Passos and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Sheila Maria Alvim Matos

86 papers receiving 2.0k citations

Hit Papers

Cohort Profile: Longitudinal Study of Adult Health (ELSA-... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sheila Maria Alvim Matos Brazil 22 961 419 342 251 236 93 2.1k
Annie Green Howard United States 25 775 0.8× 373 0.9× 313 0.9× 181 0.7× 134 0.6× 114 2.0k
Asnawi Abdullah Indonesia 16 662 0.7× 390 0.9× 224 0.7× 249 1.0× 346 1.5× 87 1.7k
Rishi Caleyachetty United Kingdom 17 705 0.7× 408 1.0× 386 1.1× 287 1.1× 257 1.1× 42 2.2k
Michel Vernay France 21 810 0.8× 318 0.8× 206 0.6× 175 0.7× 330 1.4× 72 1.7k
Minyoung Jang United States 10 559 0.6× 528 1.3× 166 0.5× 285 1.1× 190 0.8× 22 2.2k
Leyla Mohadjer United States 12 569 0.6× 365 0.9× 232 0.7× 237 0.9× 218 0.9× 24 2.0k
Rachel Leach United Kingdom 7 717 0.7× 508 1.2× 260 0.8× 221 0.9× 338 1.4× 8 1.9k
Kathryn S Porter United States 11 639 0.7× 341 0.8× 222 0.6× 180 0.7× 164 0.7× 14 1.7k
Vassiliki Bountziouka Greece 28 897 0.9× 797 1.9× 192 0.6× 173 0.7× 135 0.6× 105 2.1k
Vincent Carroll Australia 9 873 0.9× 476 1.1× 395 1.2× 378 1.5× 226 1.0× 16 2.6k

Countries citing papers authored by Sheila Maria Alvim Matos

Since Specialization
Citations

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

Fields of papers citing papers by Sheila Maria Alvim Matos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila Maria Alvim Matos. 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 Sheila Maria Alvim Matos. The network helps show where Sheila Maria Alvim Matos may publish in the future.

Co-authorship network of co-authors of Sheila Maria Alvim Matos

This figure shows the co-authorship network connecting the top 25 collaborators of Sheila Maria Alvim Matos. A scholar is included among the top collaborators of Sheila Maria Alvim Matos 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 Sheila Maria Alvim Matos. Sheila Maria Alvim Matos 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
1.
Almeida, Maria da Conceição Chagas de, Marcelo Krieger Maestri, Geraldo Bezerra da Silva, et al.. (2025). Exploring Associations between Race/Ethnicity and Glaucoma Prevalence in a Multicenter Brazilian Study: The ELSA-Brasil. Ethnicity & Disease. 35(1). 27–34. 1 indexed citations
2.
Matos, Sheila Maria Alvim, et al.. (2025). Survival Analysis and Factors Associated with Mortality in Heart Failure Patients in the ELSA-Brasil Cohort. Arquivos Brasileiros de Cardiologia. 122(6).
3.
Aquino, Estela M. L., Lígia Gabrielli, Sheila Maria Alvim Matos, et al.. (2024). Percepção de imagem corporal, características socioeconômicas e estilo de vida em mulheres participantes do ELSA-Brasil na Bahia, Brasil. Cadernos de Saúde Pública. 40(2). e00107823–e00107823.
4.
Matos, Sheila Maria Alvim, et al.. (2024). Atividade Física no Tempo Livre e Incidência de Hipertensão Arterial em Participantes do ELSA-Brasil. Arquivos Brasileiros de Cardiologia. 121(6). e20230734–e20230734. 1 indexed citations
5.
Matos, Sheila Maria Alvim, et al.. (2024). Leisure Time Physical Activity and Incidence of Arterial Hypertension in ELSA-Brasil Participants. Arquivos Brasileiros de Cardiologia. 121(6).
6.
Feter, Natan, Rodrigo Citton Padilha dos Reis, Sheila Maria Alvim Matos, et al.. (2023). Association Between 24-Hour Movement Behavior and Cognitive Function in Brazilian Middle-Aged and Older Adults: Findings From the ELSA-Brasil. Innovation in Aging. 7(3). igad030–igad030. 11 indexed citations
7.
Camelo, Lidyane do Valle, Joanna M. N. Guimarães, Dóra Chor, et al.. (2023). Racial discrimination predicts the increase in body weight and BMI in Black individuals from ELSA-Brasil cohort. Ciência & Saúde Coletiva. 28(6). 1655–1662. 4 indexed citations
8.
Almeida, Maria da Conceição Chagas de, et al.. (2023). Combined Effect of Leisure-Time Physical Activity and Sedentary Behavior on Abdominal Obesity in ELSA-Brasil Participants. International Journal of Environmental Research and Public Health. 20(15). 6501–6501. 2 indexed citations
9.
Luft, Vivian Cristine, Paula A. Bracco, Letícia de Oliveira Cardoso, et al.. (2022). The inflammatory food index and its association with weight gain and incidence of diabetes: Longitudinal Study of Adult Health (ELSA-Brasil). Nutrition Metabolism and Cardiovascular Diseases. 32(3). 675–683. 3 indexed citations
10.
Pitanga, Francisco José Gondim, Maria da Conceição Chagas de Almeida, Bruce Bartholow Duncan, et al.. (2022). Leisure Time Physical Activity and SARS-CoV-2 Infection among ELSA-Brasil Participants. International Journal of Environmental Research and Public Health. 19(21). 14155–14155.
11.
Benseñor, Isabela M., José Augusto Sgarbi, Carolina Castro Porto Silva Janovsky, et al.. (2021). Incidence of thyroid diseases: Results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Archives of Endocrinology and Metabolism. 7 indexed citations
12.
Teles, Carlos, Martha Chico, Laura C. Rodrigues, et al.. (2021). Cuestionario de frecuencia de consumo de alimentos para niños de zonas rurales costeras del Ecuador: Construcción, validez relativa y calibración. Revista chilena de nutrición. 48(5). 687–697. 2 indexed citations
13.
Silva, Geraldo Bezerra da, Simon Fraser, Rosa Maria Salani Mota, et al.. (2020). Association between dietary patterns and renal function in a cross-sectional study using baseline data from the ELSA-Brasil cohort. Brazilian Journal of Medical and Biological Research. 53(12). e10230–e10230. 2 indexed citations
14.
Mill, José Geraldo, et al.. (2020). Associações entre consumo de produtos lácteos, proteína C-reativa e perfil lipídico em adultos: resultados do ELSA-Brasil. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
15.
Chaparro, M. Pia, Maria de Fátima de Pina, Letícia de Oliveira Cardoso, et al.. (2019). The association between the neighbourhood social environment and obesity in Brazil: a cross-sectional analysis of the ELSA-Brasil study. BMJ Open. 9(9). e026800–e026800. 11 indexed citations
16.
Canhada, Scheine, Vivian Cristine Luft, Luana Giatti, et al.. (2019). Ultra-processed foods, incident overweight and obesity, and longitudinal changes in weight and waist circumference: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Public Health Nutrition. 23(6). 1076–1086. 173 indexed citations
17.
Veiga, Rafael, Hélio J. C. Barbosa, Heder S. Bernardino, et al.. (2018). Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology. BMC Bioinformatics. 19(1). 245–245. 10 indexed citations
18.
Barreto, Sandhi Maria, Maria de Fátima Haueisen Sander Diniz, María del Carmen Bisi Molina, et al.. (2018). Early-life nutritional status and metabolic syndrome: gender-specific associations from a cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Public Health Nutrition. 21(8). 1546–1553. 6 indexed citations
19.
20.
Drehmer, Michele, Andrew Odegaard, María Inês Schmidt, et al.. (2017). Brazilian dietary patterns and the dietary approaches to stop hypertension (DASH) diet-relationship with metabolic syndrome and newly diagnosed diabetes in the ELSA-Brasil study. Diabetology & Metabolic Syndrome. 9(1). 13–13. 43 indexed citations

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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