Renata S.L. Raices

5.0k citations
73 papers · 4.1k indexed · h-index 44

Renata S.L. Raices

72 papers receiving 4.0k citations

Peers

Renata S.L. Raices
Comparison fields: 5 of 128
  • Food Science 2.7k
  • Biotechnology 958
  • Animal Science and Zoology 1.0k
  • Nutrition and Dietetics 1.3k
  • Biochemistry 245
Replace Ramon S. Rocha with:
Ramon S. Rocha Brazil
Chaminda Senaka Ranadheera Australia
Celso F. Balthazar Brazil
Jeremias Moraes Brazil
Roman Buckow Australia
Xiao‐Na Guo China
Fakhri Shahidi Iran
Nieves Corzo Spain
LI Li-te China
Jorge Welti‐Chanes Mexico
Renata S.L. Raices relative to Ramon S. Rocha Brazil Ramon S. Rocha's profile →
Citations per field
00.5×1.5×2.2×
Ramon S. Rocha · 1×
Citations per year

Countries citing papers authored by Renata S.L. Raices

Since Specialization
Citations

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

Fields of papers citing papers by Renata S.L. Raices

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renata S.L. Raices. 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 Renata S.L. Raices. The network helps show where Renata S.L. Raices may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Renata S.L. Raices, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Renata S.L. Raices Line = papers co-authored together Renata S.L. Raices links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202114
3 202122
4 20209
5
Cádmio em hortaliças: comparando agricultura orgânica e convencional
20200
6 202055
7 202025
8 201846
9 201876
10 201889
11 201878
12 201768
13 201766
14 201679
15 2015124
16 2015118
17 201465
18 201456
19 201346
20 200315

About Renata S.L. Raices

Renata S.L. Raices is a scholar working on Animal Science and Zoology, Food Science and Biotechnology, having authored 73 papers that have together received 4.1k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (26 papers), Probiotics and Fermented Foods (23 papers), Microbial Metabolites in Food Biotechnology (20 papers), Microbial Inactivation Methods (19 papers), Food composition and properties (14 papers), Protein Hydrolysis and Bioactive Peptides (14 papers), Sensory Analysis and Statistical Methods (8 papers) and Phytochemicals and Antioxidant Activities (5 papers). The work is most often cited by research in Food Science (2.7k citations), Biotechnology (958 citations) and Animal Science and Zoology (1.0k citations). Renata S.L. Raices has collaborated with scholars based in Brazil, Australia and Italy. Frequent co-authors include Adriano G. Cruz, Mônica Q. Freitas, Márcia C. Silva, Erick A. Esmerino, Jeremias Moraes, Tatiana Colombo Pimentel, Celso F. Balthazar, Leandro Pereira Cappato, Ramon S. Rocha and Rodrigo N. Cavalcanti. Their work appears in journals such as Food Chemistry, Carbohydrate Polymers and Trends in Food Science & Technology.

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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