Mariana Silva

744 total citations
34 papers, 425 citations indexed

About

Mariana Silva is a scholar working on Molecular Biology, Food Science and Computer Science Applications. According to data from OpenAlex, Mariana Silva has authored 34 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Food Science and 5 papers in Computer Science Applications. Recurrent topics in Mariana Silva's work include Gut microbiota and health (5 papers), Protein Hydrolysis and Bioactive Peptides (5 papers) and Experimental Learning in Engineering (4 papers). Mariana Silva is often cited by papers focused on Gut microbiota and health (5 papers), Protein Hydrolysis and Bioactive Peptides (5 papers) and Experimental Learning in Engineering (4 papers). Mariana Silva collaborates with scholars based in Brazil, United States and Spain. Mariana Silva's co-authors include Begoña Bartolomé, M. Victoria Moreno‐Arribas, Carolina Cueva, Ederlan de Souza Ferreira, Alba Tamargo, Natalia Molinero, Matthew West, Paula A. Videira, Zélia Silva and Eduardo Maffud Cilli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Mariana Silva

26 papers receiving 415 citations

Peers

Mariana Silva
Comparison fields: 5 of 96
  • Molecular Biology 179
  • Food Science 111
  • Biochemistry 74
  • Nutrition and Dietetics 67
  • Immunology 66
Replace Fuxiang Li with:
Fuxiang Li China
Eui‐Baek Byun South Korea
Roberto de Paula do Nascimento Brazil
Jing Shao China
Ye Zhou China
Bincy Baby United Arab Emirates
Eon‐Bee Lee South Korea
Qiqiong Li China
Huajun Li China
Vidya Gadang United States
Fuxiang Li China View profile →
Citations per field, relative to Mariana Silva
Mariana Silva · 1×
Citations per year, relative to Mariana Silva
Mariana Silva · 1×

Countries citing papers authored by Mariana Silva

Since Specialization
Citations

This map shows the geographic impact of Mariana 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 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 Silva more than expected).

Fields of papers citing papers by Mariana Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariana Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Silva. A scholar is included among the top collaborators of Mariana 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 Silva. Mariana Silva 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
# Work Indexed citations
1 0
2 0
3 2
4 0
5 1
6 0
7 6
8 0
9 39
10 18
11 21
12 7
13 1
14 72
15 37
16 4
17 0
18 26
19 41
20 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026