Mariana Gama e Silva

19 papers receiving 471 citations

Peers

Mariana Gama e Silva
Comparison fields: 5 of 84
  • Molecular Biology 152
  • Plant Science 122
  • Complementary and alternative medicine 97
  • Food Science 95
  • Pharmacology 70
Replace Roxana Braga de Andrade Teles with:
Roxana Braga de Andrade Teles Brazil
Tâmara Coimbra Diniz Brazil
Juliane Cabral Silva Brazil
Fernanda Pires Rodrigues de Almeida Ribeiro Brazil
Sugumar Mani India
Érica Martins de Lavor Brazil
Beatriz Garcia Mendes Brazil
Shiva Mokhtari Iran
Radosław Kujawski Poland
Mariana Gama e Silva relative to Roxana Braga de Andrade Teles Brazil Roxana Braga de Andrade Teles's profile →
Citations per field
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Roxana Braga de Andrade Teles · 1×
Citations per year

Countries citing papers authored by Mariana Gama e Silva

Since Specialization
Citations

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

Fields of papers citing papers by Mariana Gama e Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariana Gama e 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 Mariana Gama e Silva. The network helps show where Mariana Gama e Silva may publish in the future.

Co-authorship network of co-authors of Mariana Gama e Silva

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 15
3 17
4 8
5 6
6 29
7 11
8 3
9 32
10 43
11 4
12 158
13 10
14 14
15 25
16 74
17 24
18 1
19 3

About Mariana Gama e Silva

Mariana Gama e Silva is a scholar working on Complementary and alternative medicine, Pharmacology and Sensory Systems, having authored 19 papers that have together received 478 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Pharmacological Effects of Natural Compounds (4 papers) and Moringa oleifera research and applications (3 papers). The work is most often cited by research in Complementary and alternative medicine (97 citations), Biochemistry (39 citations) and Biological Psychiatry (16 citations). Mariana Gama e Silva has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Jackson Roberto Guedes da Silva Almeida, Érica Martins de Lavor, Roxana Braga de Andrade Teles, Raimundo Gonçalves de Oliveira Júnior, Antônio Wilton Cavalcante Fernandes, Ana Paula de Oliveira, Tâmara Coimbra Diniz, Fernanda Pires Rodrigues de Almeida Ribeiro, Lucindo José Quintans‐Júnior and Tiago Coimbra Costa Pinto. Their work appears in journals such as PLoS ONE, Journal of Ethnopharmacology and Food and Chemical Toxicology.

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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