Daniela de Assumpção

132 total papers · 1.1k total citations
82 papers, 551 citations indexed

About

Daniela de Assumpção is a scholar working on Public Health, Environmental and Occupational Health, Physiology and General Health Professions. According to data from OpenAlex, Daniela de Assumpção has authored 82 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Public Health, Environmental and Occupational Health, 21 papers in Physiology and 15 papers in General Health Professions. Recurrent topics in Daniela de Assumpção's work include Obesity, Physical Activity, Diet (42 papers), Nutritional Studies and Diet (31 papers) and Nutrition and Health in Aging (20 papers). Daniela de Assumpção is often cited by papers focused on Obesity, Physical Activity, Diet (42 papers), Nutritional Studies and Diet (31 papers) and Nutrition and Health in Aging (20 papers). Daniela de Assumpção collaborates with scholars based in Brazil, United States and Netherlands. Daniela de Assumpção's co-authors include Marilisa Berti de Azevedo Barros, Regina Mara Fisberg, Priscila Maria Stolses Bergamo Francisco, Flávia Silva Arbex Borim, Semíramis Martins Álvares Domene, Antônio de Azevedo Barros Filho, Anita Liberalesso Néri, Déborah Carvalho Malta, Ana Maria Canesqui and Mônica Sanches Yassuda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Nutrition and Public Health Nutrition.

In The Last Decade

Daniela de Assumpção

67 papers receiving 533 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniela de Assumpção 284 128 116 61 60 82 551
Jooyoung Cheon 216 0.8× 138 1.1× 95 0.8× 109 1.8× 105 1.8× 41 614
Tarciana Nobre de Menezes 144 0.5× 204 1.6× 152 1.3× 84 1.4× 22 0.4× 58 571
David R. Buys 182 0.6× 182 1.4× 258 2.2× 91 1.5× 25 0.4× 52 574
Susana Cararo Confortin 129 0.5× 138 1.1× 186 1.6× 137 2.2× 48 0.8× 59 504
Mohd Azahadi Omar 181 0.6× 88 0.7× 114 1.0× 47 0.8× 66 1.1× 63 548
Young Ko 135 0.5× 151 1.2× 134 1.2× 80 1.3× 59 1.0× 54 529
Margaretha Nydahl 205 0.7× 78 0.6× 167 1.4× 36 0.6× 43 0.7× 33 615
Huaqing Liu 104 0.4× 100 0.8× 88 0.8× 90 1.5× 156 2.6× 46 616
Cassandra S. Diep 270 1.0× 117 0.9× 39 0.3× 33 0.5× 78 1.3× 36 521
Hideki Fukuda 101 0.4× 97 0.8× 106 0.9× 77 1.3× 39 0.7× 42 495

Countries citing papers authored by Daniela de Assumpção

Since Specialization
Citations

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

Fields of papers citing papers by Daniela de Assumpção

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela de Assumpção. 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 Daniela de Assumpção. The network helps show where Daniela de Assumpção may publish in the future.

Co-authorship network of co-authors of Daniela de Assumpção

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

All Works

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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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