F. Javier Moreno

8.8k total citations
253 papers, 6.1k citations indexed

About

F. Javier Moreno is a scholar working on Nutrition and Dietetics, Food Science and Molecular Biology. According to data from OpenAlex, F. Javier Moreno has authored 253 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Nutrition and Dietetics, 84 papers in Food Science and 82 papers in Molecular Biology. Recurrent topics in F. Javier Moreno's work include Microbial Metabolites in Food Biotechnology (73 papers), Probiotics and Fermented Foods (42 papers) and Digestive system and related health (36 papers). F. Javier Moreno is often cited by papers focused on Microbial Metabolites in Food Biotechnology (73 papers), Probiotics and Fermented Foods (42 papers) and Digestive system and related health (36 papers). F. Javier Moreno collaborates with scholars based in Spain, United Kingdom and France. F. Javier Moreno's co-authors include Mar Villamiel, Agustı́n Olano, Oswaldo Hernández‐Hernández, Alfonso Clemente, M. Luz Sanz, Antonia Montilla, E. N. Clare Mills, Nieves Corzo, Jesús Ávila and Álvaro Ferreira-Lazarte and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

F. Javier Moreno

233 papers receiving 6.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Javier Moreno Spain 45 2.3k 2.3k 2.1k 960 765 253 6.1k
Soichi Arai Japan 39 2.7k 1.2× 1.0k 0.4× 1.1k 0.5× 1.4k 1.5× 331 0.4× 299 5.5k
Stefano Sforza Italy 45 3.5k 1.5× 1.7k 0.7× 806 0.4× 1.4k 1.4× 300 0.4× 222 7.3k
Songyi Lin China 44 3.5k 1.5× 2.3k 1.0× 860 0.4× 888 0.9× 267 0.3× 297 7.0k
Juliet A. Gerrard New Zealand 41 2.6k 1.1× 1.4k 0.6× 762 0.4× 558 0.6× 83 0.1× 176 5.2k
Shridhar K. Sathe United States 52 1.8k 0.8× 3.8k 1.7× 3.2k 1.5× 3.5k 3.6× 2.1k 2.8× 167 9.3k
Jason T. C. Tzen Taiwan 43 3.3k 1.4× 1.8k 0.8× 509 0.2× 2.0k 2.1× 372 0.5× 213 7.3k
Chibuike C. Udenigwe Canada 57 6.5k 2.8× 3.3k 1.5× 1.6k 0.8× 1.5k 1.6× 126 0.2× 229 10.2k
Eunice C.Y. Li‐Chan Canada 59 5.6k 2.4× 4.9k 2.2× 1.6k 0.8× 743 0.8× 132 0.2× 153 11.2k
Min‐Jie Cao China 43 2.8k 1.2× 995 0.4× 292 0.1× 1.6k 1.6× 1.6k 2.2× 255 7.0k
Fusao Tomita Japan 43 3.7k 1.6× 574 0.3× 1.4k 0.7× 748 0.8× 111 0.1× 177 7.3k

Countries citing papers authored by F. Javier Moreno

Since Specialization
Citations

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

Fields of papers citing papers by F. Javier Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Javier Moreno. 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 F. Javier Moreno. The network helps show where F. Javier Moreno may publish in the future.

Co-authorship network of co-authors of F. Javier Moreno

This figure shows the co-authorship network connecting the top 25 collaborators of F. Javier Moreno. A scholar is included among the top collaborators of F. Javier Moreno 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 F. Javier Moreno. F. Javier Moreno 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
1.
Casacuberta, Josep, Francisco Barro, Albert Braeuning, et al.. (2025). Assessment of genetically modified T25 maize for renewal authorisation under Regulation (EC) No 1829/2003 (dossier GMFF‐2024‐22651). EFSA Journal. 23(8). e9570–e9570.
2.
3.
Sabater, Carlos, Nieves Corzo, Blanca de las Rivas, et al.. (2025). Enzymatic synthesis of β-galactosylated xylitol derivatives modulates gut microbiota and improves obesity-related metabolic parameters in mice. Food & Function. 16(13). 5493–5510.
4.
Kazemi, Sima, et al.. (2024). Research gaps and future needs for allergen prediction in food safety. SHILAP Revista de lepidopterología. 5. 6 indexed citations
5.
6.
Hernández‐Hernández, Oswaldo, Inés Calvete‐Torre, Elisa G. Doyagüez, et al.. (2024). Tailoring the natural rare sugars D-tagatose and L-sorbose to produce novel functional carbohydrates. npj Science of Food. 8(1). 74–74. 4 indexed citations
7.
Díez‐Municio, Marina, et al.. (2024). Cysteine proteases from plants: Utilization in foods and nutraceuticals and characterization approaches for quality management. Applied Food Research. 4(2). 100491–100491. 3 indexed citations
8.
Doytchinova, Irini, et al.. (2024). Modeling Peptide–Protein Interactions by a Logo-Based Method: Application in Peptide–HLA Binding Predictions. Molecules. 29(2). 284–284. 2 indexed citations
9.
Banjanac, Katarina, et al.. (2024). Sunflower Meal Valorization through Enzyme-Aided Fractionation and the Production of Emerging Prebiotics. Foods. 13(16). 2506–2506. 1 indexed citations
10.
Chagoyen, Mónica, et al.. (2023). PMIDigest: Interactive Review of Large Collections of PubMed Entries to Distill Relevant Information. Genes. 14(4). 942–942. 3 indexed citations
11.
Atanasova, Mariyana, et al.. (2023). Assessment of Novel Proteins Triggering Celiac Disease via Docking-Based Approach. Molecules. 29(1). 138–138. 2 indexed citations
12.
Calvete‐Torre, Inés, Carlos Sabater, F. Javier Moreno, et al.. (2022). Prebiotic potential of apple pomace and pectins from different apple varieties: Modulatory effects on key target commensal microbial populations. Food Hydrocolloids. 133. 107958–107958. 50 indexed citations
13.
Sabater, Carlos, Inés Calvete‐Torre, Mar Villamiel, et al.. (2021). Vegetable waste and by-products to feed a healthy gut microbiota: Current evidence, machine learning and computational tools to design novel microbiome-targeted foods. Trends in Food Science & Technology. 118. 399–417. 37 indexed citations
14.
Selb, Regina, J.‐M. Wal, F. Javier Moreno, et al.. (2017). Assessment of endogenous allergenicity of genetically modified plants exemplified by soybean – Where do we stand?. Food and Chemical Toxicology. 101. 139–148. 17 indexed citations
15.
Moreno, F. Javier, et al.. (2012). Diseño de un sistema difuso para valoración de aportes en sistemas colaborativos. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 11(20). 139–152. 4 indexed citations
16.
Moreno, F. Javier, et al.. (2010). DESCRIPCIÓN DE UN SISTEMA INFORMATIZADO DE PROCESAMIENTO AUTOMÁTICO PARA LA OPTIMIZACIÓN DEL RENDIMIENTO DEPORTIVO BASADO EN EL CONTROL DE LA INFORMACIÓN. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Moreno, F. Javier, et al.. (2010). Motor learning and general adaptation syndrome. SHILAP Revista de lepidopterología. 2 indexed citations
18.
García, Juan Pedro Fuentes, et al.. (2010). RELACIÓN ENTRE VARIABILIDAD DE LA PRÁCTICA Y VARIABILIDAD EN LA EJECUCIÓN DEL SERVICIO PLANO EN TENIS. Redalyc (Universidad Autónoma del Estado de México). 25(25). 75–92. 6 indexed citations
19.
Moreno, F. Javier, et al.. (2008). La Abstracción DE Datos Y Su Proceso Gradual De Construcción. SHILAP Revista de lepidopterología.
20.
Moreno, F. Javier, et al.. (2006). Addressing formulas for central triangular matrices in 1D arrays. International Conference on Telecommunications. 110–115.

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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