Rayda Siala

469 citations
13 papers · 365 · h-index 9

Impact in

    • Enzyme Production and Characterization
    • Microbial Metabolism and Applications
  • Food Science top 10%
    • Botanical Research and Applications

Papers in

    • Protein Hydrolysis and Bioactive Peptides 5
    • Biochemical and Structural Characterization 2
    • Enzyme Catalysis and Immobilization 1
    • Enzyme Production and Characterization 6

Rayda Siala

12 papers receiving 339 citations

Peers

Rayda Siala
Comparison fields: 5 of 68
  • Biotechnology 184
  • Food Science 77
  • Biochemistry 24
  • Plant Science 132
  • Molecular Biology 215
Replace Flávio Finardi Filho with:
Flávio Finardi Filho Brazil
Wan‐Taek Ju South Korea
Claudia L. Natalucci Argentina
Wai Prathumpai Thailand
L.T. Li China
Talita Lopes Honorato Brazil
Ester Pardo Spain
Fatma Bhiri Tunisia
Ruimei Wu China
Joong Han Shin South Korea
Rayda Siala relative to Flávio Finardi Filho Brazil Flávio Finardi Filho's profile →
Citations per field
00.5×
Flávio Finardi Filho · 1×
Citations per year

Countries citing papers authored by Rayda Siala

Since Specialization
Citations

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

Fields of papers citing papers by Rayda Siala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rayda Siala, 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 Rayda Siala Line = papers co-authored together Rayda Siala links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200965
2 201349
3 200945
4 201344
5 201242
6 200939
7 201538
8 201515
9 201414
10 20166
11 20126
12 20142
13 20150

About Rayda Siala

Rayda Siala is a scholar working on Molecular Biology, Biotechnology, Plant Science, Pharmacology and Food Science, having authored 13 papers that have together received 365 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (6 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Sensory Analysis and Statistical Methods (2 papers), Biochemical and Structural Characterization (2 papers), Phytase and its Applications (2 papers), Meat and Animal Product Quality (1 paper), Enzyme Catalysis and Immobilization (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Biotechnology (184 citations), Food Science (77 citations), Biochemistry (24 citations), Plant Science (132 citations) and Molecular Biology (215 citations). Rayda Siala has collaborated with scholars based in Tunisia and France. Frequent co-authors include Monçef Nasri, Nahed Fakhfakh, Naourez Ktari, Alya Sellami-Kamoun, Néji Gharsallah, Mohamed Hajji, Mourad Jridi, Islem Younes, Ali Bougatef and Kemel Jellouli. Their work appears in journals such as Journal of Applied Microbiology, Applied Biochemistry and Biotechnology, International Journal of Food Sciences and Nutrition, Journal of Industrial Microbiology & Biotechnology and Journal of the Science of Food and Agriculture.

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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