Lidia Ferrer‐Tasies

17 total papers · 506 total citations
10 papers, 392 citations indexed

About

Lidia Ferrer‐Tasies is a scholar working on Molecular Biology, Biomaterials and Organic Chemistry. According to data from OpenAlex, Lidia Ferrer‐Tasies has authored 10 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Biomaterials and 2 papers in Organic Chemistry. Recurrent topics in Lidia Ferrer‐Tasies's work include Lipid Membrane Structure and Behavior (6 papers), Supramolecular Self-Assembly in Materials (2 papers) and RNA Interference and Gene Delivery (2 papers). Lidia Ferrer‐Tasies is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Supramolecular Self-Assembly in Materials (2 papers) and RNA Interference and Gene Delivery (2 papers). Lidia Ferrer‐Tasies collaborates with scholars based in Spain, France and Cuba. Lidia Ferrer‐Tasies's co-authors include Nora Ventosa, Jaume Veciana, Santi Sala, Natascia Grimaldi, Nathaly Segovia, Fernanda Andrade, Jordi Faraudo, Susagna Ricart, Sylviane Lesieur and Mary Cano‐Sarabia and has published in prestigious journals such as Chemical Society Reviews, Langmuir and Journal of Colloid and Interface Science.

In The Last Decade

Lidia Ferrer‐Tasies

10 papers receiving 388 citations

Author Peers

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

Author Last Decade Papers Cites
Lidia Ferrer‐Tasies 201 107 98 80 78 10 392
Santi Sala 164 0.8× 164 1.5× 93 0.9× 85 1.1× 63 0.8× 10 429
Jamie Strachan 238 1.2× 84 0.8× 74 0.8× 122 1.5× 62 0.8× 13 419
Chandra Has 230 1.1× 102 1.0× 130 1.3× 38 0.5× 30 0.4× 14 429
Vanessa P. Nguyen 198 1.0× 120 1.1× 155 1.6× 45 0.6× 29 0.4× 11 386
Livia Salvati Manni 183 0.9× 85 0.8× 76 0.8× 72 0.9× 115 1.5× 22 352
Ji-Young Mun 192 1.0× 73 0.7× 121 1.2× 98 1.2× 42 0.5× 9 374
Donna Cabral-Lilly 264 1.3× 90 0.8× 213 2.2× 41 0.5× 29 0.4× 12 428
Diego Estupiñán 132 0.7× 135 1.3× 182 1.9× 96 1.2× 121 1.6× 11 430
Fang-Chu Lin 127 0.6× 188 1.8× 159 1.6× 129 1.6× 43 0.6× 9 392
Wei‐Hsin Hsu 138 0.7× 143 1.3× 188 1.9× 56 0.7× 62 0.8× 18 406

Countries citing papers authored by Lidia Ferrer‐Tasies

Since Specialization
Citations

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

Fields of papers citing papers by Lidia Ferrer‐Tasies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lidia Ferrer‐Tasies. 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 Lidia Ferrer‐Tasies. The network helps show where Lidia Ferrer‐Tasies may publish in the future.

Co-authorship network of co-authors of Lidia Ferrer‐Tasies

This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Ferrer‐Tasies. A scholar is included among the top collaborators of Lidia Ferrer‐Tasies 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 Lidia Ferrer‐Tasies. Lidia Ferrer‐Tasies 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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