Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Evidence that the endometrial microbiota has an effect on implantation success or failure
2016592 citationsInmaculada Moreno, Francisco M. Codoñer et al.profile →
Molecular Monitoring of Wine Fermentations Conducted by Active Dry Yeast Strains
1992424 citationsAmparo Querol, Eladio Barrio et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Daniel Ramón'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 Daniel Ramón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ramón more than expected).
This network shows the impact of papers produced by Daniel Ramón. 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 Daniel Ramón. The network helps show where Daniel Ramón may publish in the future.
Co-authorship network of co-authors of Daniel Ramón
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ramón.
A scholar is included among the top collaborators of Daniel Ramón 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 Daniel Ramón. Daniel Ramón is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ramón, Daniel, et al.. (2013). Micro-rheology of nanocellulose suspensions with smoothed particle hydrodynamics simulations. PolyPublie (École Polytechnique de Montréal). 630–639.1 indexed citations
11.
Martı́n, Franz, Alberto Cepeda, Perfecto Paseiro Losada, et al.. (2011). Informe del Comité Científico de la Agencia Española de Seguridad Alimentaria y Nutrición (AESAN) sobre contaminación vírica de los alimentos, con especial énfasis en moluscos bivalvos, y métodos de control. 89–105.1 indexed citations
12.
Martı́n, Franz, et al.. (2011). Informe del Comité Científico de la Agencia Española de Seguridad Alimentaria y Nutrición (AESAN) sobre el botulismo infantil. 9–26.2 indexed citations
13.
Ramón, Daniel. (2009). Transgénicos, nutrigenética y nutrigenómica en alimentación. 11(1). 10–12.1 indexed citations
Ramón, Daniel. (2007). Aplicaciones de la biotecnología en la industria agroalimentaria. 57–63.
16.
Ramón, Daniel. (2004). Presente y futuro de los alimentos transgénicos. Sistema: revista de ciencias sociales. 31–40.2 indexed citations
17.
Ramón, Daniel. (2000). Luces y sombras en torno a los alimentos transgénicos. Phytoma España: La revista profesional de sanidad vegetal. 82–85.1 indexed citations
18.
Ramón, Daniel, et al.. (1997). Reflexiones sobre los alimentos transgénicos. Vida rural. 28–31.
19.
Querol, Amparo, Eladio Barrio, Tomás Huerta, & Daniel Ramón. (1993). [Utilization of molecular techniques for the characterization of wine yeasts and the study of the wine-making process].. Oxford University Research Archive (ORA) (University of Oxford). 9 Spec No. 76–82.3 indexed citations
20.
Ramón, Daniel. (1990). Proprietes immunosuppressives des mycotoxines du groupe des trichothecenes [immunosuppression, texine T-2, alencie toxique alimentaire]..3 indexed citations
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.