Sabrina da Silva

689 total citations
13 papers, 501 citations indexed

About

Sabrina da Silva is a scholar working on Physiology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Sabrina da Silva has authored 13 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Biochemistry. Recurrent topics in Sabrina da Silva's work include Biochemical effects in animals (5 papers), Antioxidants, Aging, Portulaca oleracea (5 papers) and Biochemical Acid Research Studies (3 papers). Sabrina da Silva is often cited by papers focused on Biochemical effects in animals (5 papers), Antioxidants, Aging, Portulaca oleracea (5 papers) and Biochemical Acid Research Studies (3 papers). Sabrina da Silva collaborates with scholars based in Brazil, United States and Canada. Sabrina da Silva's co-authors include A. Müller, Ricardo A. Pinho, Gustavo de Bem Silveira, Paulo César Lock Silveira, Carolini Mendes, Cláudio Teodoro de Souza, Marisa Jádna Silva Frederico, Gabrielle da Luz, Renata Tiscoski Nesi and Francielle Mina and has published in prestigious journals such as Behavioural Brain Research, Materials Science and Engineering C and European Journal of Applied Physiology.

In The Last Decade

Sabrina da Silva

13 papers receiving 499 citations

Peers

Sabrina da Silva
Comparison fields: 5 of 78
  • Physiology 246
  • Molecular Biology 107
  • Cellular and Molecular Neuroscience 84
  • Epidemiology 61
  • Materials Chemistry 60
Replace Zhao-Jun Wang with:
Zhao-Jun Wang China
Carmen Silva-Álvarez Chile
Shui-jin Shao China
Y. Itakura Japan
Katterine Salazar Chile
Ahmet B. Çağlayan Türkiye
Xuesong Song China
Insu Kwon United States
Huanyu Ni China
Syed Suhail Andrabi India
Zhao-Jun Wang China View profile →
Citations per field, relative to Sabrina da Silva
Sabrina da Silva · 1×
Citations per year, relative to Sabrina da Silva
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Countries citing papers authored by Sabrina da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabrina da Silva. 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 Sabrina da Silva. The network helps show where Sabrina da Silva may publish in the future.

Co-authorship network of co-authors of Sabrina da Silva

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 5
2 13
3 100
4 16
5 28
6 21
7 23
8 90
9 53
10 31
11 2
12 90
13 29

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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