Lucía Díaz

694 total citations
20 papers, 354 citations indexed

About

Lucía Díaz is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Lucía Díaz has authored 20 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Organic Chemistry and 5 papers in Oncology. Recurrent topics in Lucía Díaz's work include Carbohydrate Chemistry and Synthesis (6 papers), Protein Structure and Dynamics (5 papers) and Computational Drug Discovery Methods (5 papers). Lucía Díaz is often cited by papers focused on Carbohydrate Chemistry and Synthesis (6 papers), Protein Structure and Dynamics (5 papers) and Computational Drug Discovery Methods (5 papers). Lucía Díaz collaborates with scholars based in Spain, United States and Sweden. Lucía Díaz's co-authors include Antonio Delgado, Jordi Bujons, Josefina Casas, Amadeu Llebaria, Vı́ctor Guallar, Soumya S. Ray, Thijs Beuming, Paola Bartoccioni, Manuel Palacı́n and Ekaitz Errasti‐Murugarren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Lucía Díaz

20 papers receiving 346 citations

Peers

Lucía Díaz

BIOCH

PHYSI

CTM

Hitoshi Sakashita Japan

José Olucha United States

Tomoki Yoshida Japan

Matthew Merski United States

Huiqiang Zhou United States

Dipak K. Bhattacharyya India

Shanthaveerappa K. Boovanahalli South Korea

Shihua Xu China

Julia Kaffy France

David J. Schwalb United States

Hitoshi Sakashita Japan

Lucía Díaz

220 ×1.0

80 ×0.5

39 ×0.6

BIOCH

25 ×0.5

PHYSI

54 ×1.1

CTM

Citations per year, relative to Lucía Díaz Lucía Díaz (= 1×) peers Hitoshi Sakashita

Countries citing papers authored by Lucía Díaz

Since Specialization

Citations

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

Fields of papers citing papers by Lucía Díaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucía Díaz

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

All Works

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20 of 20 papers shown

Díaz, Lucía, et al.. (2025). Optimizing drug design by merging generative AI with a physics-based active learning framework. Communications Chemistry. 8(1). 238–238. 2 indexed citations

Martínez‐García, David, Marta Pérez-Hernández, Lucía Díaz, et al.. (2024). Identification of the atypical antipsychotic Asenapine as a direct survivin inhibitor with anticancer properties and sensitizing effects to conventional therapies. Biomedicine & Pharmacotherapy. 182. 117756–117756. 1 indexed citations

Bartoccioni, Paola, Ángela Arias, Suwipa Saen‐oon, et al.. (2024). Structure and mechanisms of transport of human Asc1/CD98hc amino acid transporter. Nature Communications. 15(1). 2986–2986. 7 indexed citations

Murga, Matilde, Robert Soliva, Corina Amor, et al.. (2024). SETD8 inhibition targets cancer cells with increased rates of ribosome biogenesis. Cell Death and Disease. 15(9). 694–694. 1 indexed citations

González, Lorena, Lucía Díaz, Joan Pous, et al.. (2023). Characterization of p38α autophosphorylation inhibitors that target the non-canonical activation pathway. Nature Communications. 14(1). 3318–3318. 8 indexed citations

Beuming, Thijs, et al.. (2023). Are Deep Learning Structural Models Sufficiently Accurate for Virtual Screening? Application of Docking Algorithms to AlphaFold2 Predicted Structures. Journal of Chemical Information and Modeling. 63(6). 1668–1674. 39 indexed citations

Beuming, Thijs, et al.. (2022). Are Deep Learning Structural Models Sufficiently Accurate for Free-Energy Calculations? Application of FEP+ to AlphaFold2-Predicted Structures. Journal of Chemical Information and Modeling. 62(18). 4351–4360. 26 indexed citations

Díaz, Lucía, Paola Bartoccioni, Jasminka Boskovic, et al.. (2021). Structural basis for substrate specificity of heteromeric transporters of neutral amino acids. Proceedings of the National Academy of Sciences. 118(49). 21 indexed citations

Díaz, Lucía, Gary Tresadern, Christophe Buyck, et al.. (2020). Monte Carlo simulations using PELE to identify a protein–protein inhibitor binding site and pose. RSC Advances. 10(12). 7058–7064. 5 indexed citations

10.

Errasti‐Murugarren, Ekaitz, Joana Fort, Paola Bartoccioni, et al.. (2019). L amino acid transporter structure and molecular bases for the asymmetry of substrate interaction. Nature Communications. 10(1). 1807–1807. 62 indexed citations

11.

Rosell, Mireia, Luis Angel Rodríguez‐Lumbreras, Miguel Romero‐Durana, et al.. (2019). Integrative modeling of protein‐protein interactions with pyDock for the new docking challenges. Proteins Structure Function and Bioinformatics. 88(8). 999–1008. 5 indexed citations

12.

García‐Pardo, Javier, Sebastián Tanco, Lucía Díaz, et al.. (2017). Substrate specificity of human metallocarboxypeptidase D: Comparison of the two active carboxypeptidase domains. PLoS ONE. 12(11). e0187778–e0187778. 6 indexed citations

13.

Díaz, Lucía, Josefina Casas, Daniel Grinberg, et al.. (2014). Glucocerebrosidase Enhancers for Selected Gaucher Disease Genotypes by Modification of α‐1‐C‐Substituted Imino‐D‐xylitols (DIXs) by Click Chemistry. ChemMedChem. 9(8). 1744–1754. 13 indexed citations

14.

Díaz, Lucía, Hugo Gutiérrez‐de‐Terán, Gessamí Sánchez-Ollé, et al.. (2014). Selective chaperone effect of aminocyclitol derivatives on G202R and other mutant glucocerebrosidases causing Gaucher disease. The International Journal of Biochemistry & Cell Biology. 54. 245–254. 6 indexed citations

15.

Díaz, Lucía, Josefina Casas, Jordi Bujons, Amadeu Llebaria, & Antonio Delgado. (2011). New Glucocerebrosidase Inhibitors by Exploration of Chemical Diversity of N-Substituted Aminocyclitols Using Click Chemistry and in Situ Screening. Journal of Medicinal Chemistry. 54(7). 2069–2079. 34 indexed citations

16.

Díaz, Lucía, Jordi Bujons, Antonio Delgado, Hugo Gutiérrez‐de‐Terán, & Johan Åqvist. (2011). Computational Prediction of Structure−Activity Relationships for the Binding of Aminocyclitols to β-Glucocerebrosidase. Journal of Chemical Information and Modeling. 51(3). 601–611. 15 indexed citations

17.

Díaz, Lucía & Antonio Delgado. (2010). Medicinal Chemistry of Aminocyclitols. Current Medicinal Chemistry. 17(22). 2393–2418. 34 indexed citations

18.

Díaz, Lucía, Jordi Bujons, Josefina Casas, Amadeu Llebaria, & Antonio Delgado. (2010). Click Chemistry Approach to New N-Substituted Aminocyclitols as Potential Pharmacological Chaperones for Gaucher Disease. Journal of Medicinal Chemistry. 53(14). 5248–5255. 56 indexed citations

19.

Edwards, Peter, et al.. (2008). An Efficient Synthetic Route to Novel 3-Alkyl- and 3-Aryl-4-iodophenols. Synthesis. 2008(2). 221–224. 5 indexed citations

20.

Maguire, Roma, et al.. (1978). Synthesis and characterization of a soluble, polymeric 5-phenyltetrazolate-bridged aquo cobalt(II) complex. Inorganica Chimica Acta. 28. 119–122. 8 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.

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