Silvia Racedo

25 total papers · 1.2k total citations
21 papers, 923 citations indexed

About

Silvia Racedo is a scholar working on Food Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Silvia Racedo has authored 21 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 12 papers in Molecular Biology and 7 papers in Infectious Diseases. Recurrent topics in Silvia Racedo's work include Probiotics and Fermented Foods (14 papers), Gut microbiota and health (9 papers) and Viral gastroenteritis research and epidemiology (5 papers). Silvia Racedo is often cited by papers focused on Probiotics and Fermented Foods (14 papers), Gut microbiota and health (9 papers) and Viral gastroenteritis research and epidemiology (5 papers). Silvia Racedo collaborates with scholars based in Argentina, France and Austria. Silvia Racedo's co-authors include María C. Urdaci, Susana Alvarez, Julio Villena, Graciela Agüero, Claudine Jacquot, Paula Carasi, María de los Ángeles Serradell, Marcela Medina, Marie Lefèvre and Peter Jüsten and has published in prestigious journals such as Gastroenterology, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Silvia Racedo

21 papers receiving 897 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silvia Racedo 487 457 153 145 141 21 923
Juergen Schrezenmeir 335 0.7× 434 0.9× 149 1.0× 120 0.8× 148 1.0× 16 855
Paulraj Kanmani 464 1.0× 468 1.0× 168 1.1× 221 1.5× 200 1.4× 26 1.1k
Graciela Agüero 518 1.1× 417 0.9× 233 1.5× 184 1.3× 183 1.3× 26 986
Manabu Kawase 590 1.2× 611 1.3× 172 1.1× 176 1.2× 170 1.2× 32 1.1k
Ilke De Boeck 474 1.0× 470 1.0× 108 0.7× 129 0.9× 168 1.2× 32 996
Masaru Hiramatsu 725 1.5× 664 1.5× 206 1.3× 212 1.5× 177 1.3× 32 1.2k
Aldwin J. M. Vriesema 233 0.5× 484 1.1× 118 0.8× 221 1.5× 129 0.9× 23 970
R. Lodinová‐Žádníková 228 0.5× 386 0.8× 200 1.3× 139 1.0× 118 0.8× 26 1.0k
Irina Spacova 326 0.7× 392 0.9× 113 0.7× 84 0.6× 110 0.8× 37 800
Kim Schipper 312 0.6× 353 0.8× 88 0.6× 98 0.7× 78 0.6× 17 878

Countries citing papers authored by Silvia Racedo

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Racedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Racedo

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

All Works

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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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