Carmen Silva-Álvarez

738 total citations
18 papers, 621 citations indexed

About

Carmen Silva-Álvarez is a scholar working on Nutrition and Dietetics, Molecular Biology and Physiology. According to data from OpenAlex, Carmen Silva-Álvarez has authored 18 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nutrition and Dietetics, 6 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Carmen Silva-Álvarez's work include Vitamin C and Antioxidants Research (7 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Alzheimer's disease research and treatments (4 papers). Carmen Silva-Álvarez is often cited by papers focused on Vitamin C and Antioxidants Research (7 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Alzheimer's disease research and treatments (4 papers). Carmen Silva-Álvarez collaborates with scholars based in Chile, Australia and Spain. Carmen Silva-Álvarez's co-authors include Macarena S. Arrázola, Juan A. Godoy, Nibaldo C. Inestrosa, Nibaldo C. Inestrosa, Pedro Cisternas, Katterine Salazar, Francisco Nualart, Paulina Salazar, Karina Oyarce and Juan M. Zolezzi and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Carmen Silva-Álvarez

18 papers receiving 617 citations

Peers

Carmen Silva-Álvarez
Comparison fields: 5 of 80
  • Molecular Biology 262
  • Physiology 173
  • Nutrition and Dietetics 172
  • Cellular and Molecular Neuroscience 122
  • Genetics 68
Replace Cristina Ordóñez with:
Cristina Ordóñez Spain
Stéphanie Reix Spain
Gemma Comes Spain
Merve Alaylıoğlu Türkiye
Ekaterina Turlova Canada
Jun‐Qiang Si China
Natascia Guida Italy
Chuanming Luo China
Elisa Brilli Italy
Katterine Salazar Chile
Cristina Ordóñez Spain View profile →
Citations per field, relative to Carmen Silva-Álvarez
Carmen Silva-Álvarez · 1×
Citations per year, relative to Carmen Silva-Álvarez
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Countries citing papers authored by Carmen Silva-Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Silva-Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen Silva-Álvarez. 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 Carmen Silva-Álvarez. The network helps show where Carmen Silva-Álvarez may publish in the future.

Co-authorship network of co-authors of Carmen Silva-Álvarez

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 17
2 16
3 12
4 14
5 52
6 28
7 58
8 52
9 55
10 80
11 87
12 12
13 29
14 15
15
Typical and atypical stem cells in the brain, vitamin C effect and neuropathology
1
16 16
17 51
18 26

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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