Núria Benseny‐Cases

34 papers and 764 indexed citations i.

About

Núria Benseny‐Cases is a scholar working on Physiology, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Núria Benseny‐Cases has authored 34 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 12 papers in Molecular Biology and 9 papers in Materials Chemistry. Recurrent topics in Núria Benseny‐Cases’s work include Alzheimer's disease research and treatments (12 papers), Dendrimers and Hyperbranched Polymers (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). Núria Benseny‐Cases is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Dendrimers and Hyperbranched Polymers (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). Núria Benseny‐Cases collaborates with scholars based in Spain, France and Germany. Núria Benseny‐Cases's co-authors include Josep Cladera, Oxana Klementieva, Isidró Ferrer, M. Cócera, Dietmar Appelhans, Marine Cotte, Ester Aso, Alejandro Gella, Brigitte Voit and Margarita Carmona and has published in prestigious journals such as Journal of Biological Chemistry, ACS Nano and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Núria Benseny‐Cases i

Fields of papers citing papers by Núria Benseny‐Cases

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Núria Benseny‐Cases. 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 Núria Benseny‐Cases. The network helps show where Núria Benseny‐Cases may publish in the future.

Countries citing papers authored by Núria Benseny‐Cases

Since Specialization
Citations

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

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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