Natalia Díaz

2.0k total citations
79 papers, 1.6k citations indexed

About

Natalia Díaz is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Natalia Díaz has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 23 papers in Oncology and 20 papers in Organic Chemistry. Recurrent topics in Natalia Díaz's work include Protein Structure and Dynamics (16 papers), Peptidase Inhibition and Analysis (13 papers) and Protease and Inhibitor Mechanisms (13 papers). Natalia Díaz is often cited by papers focused on Protein Structure and Dynamics (16 papers), Peptidase Inhibition and Analysis (13 papers) and Protease and Inhibitor Mechanisms (13 papers). Natalia Díaz collaborates with scholars based in Spain, United States and France. Natalia Díaz's co-authors include Dimas Suárez, Kenneth M. Merz, Tomás L. Sordo, Ernesto Suárez, Martin J. Field, Haydée Valdés, Ángel Martín Pendás, E. Francisco, Víctor M. Rayón and Raḿon López and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

Natalia Díaz

78 papers receiving 1.6k citations

Peers

Natalia Díaz

ONCOL

CTM

Peng Zou United States

Klaus Gubernator Switzerland

Chandramani Pathak India

Devleena Shivakumar United States

Laura Goracci Italy

Moritz Winger Australia

Jian Wan China

Alexandra Choutko Switzerland

Mehran Yazdanian United States

Joshua Williams United States

Peng Zou United States

Natalia Díaz

997 ×1.4

560 ×1.6

221 ×0.6

ONCOL

729 ×2.9

150 ×0.6

CTM

Citations per year, relative to Natalia Díaz Natalia Díaz (= 1×) peers Peng Zou

Countries citing papers authored by Natalia Díaz

Since Specialization

Citations

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

Fields of papers citing papers by Natalia Díaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Díaz. A scholar is included among the top collaborators of Natalia 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 Natalia Díaz. Natalia 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

Hosu, Oana, Dimas Suárez, Natalia Díaz, et al.. (2025). Disposable electrochemical aptasensor for rapid and selective vancomycin detection in clinical samples: Bridging affinity selection, computational modeling and clinical validation. Analytica Chimica Acta. 1374. 344519–344519. 1 indexed citations

Pendás, Ángel Martín, E. Francisco, Dimas Suárez, et al.. (2023). Atoms in molecules in real space: a fertile field for chemical bonding. Physical Chemistry Chemical Physics. 25(15). 10231–10262. 24 indexed citations

Marcet, Ismael, et al.. (2022). Peptides recovery from egg yolk lipovitellins by ultrafiltration and their in silico bioactivity analysis. Food Chemistry. 379. 132145–132145. 17 indexed citations

Díaz, Natalia & Dimas Suárez. (2022). Toward Reliable and Insightful Entropy Calculations on Flexible Molecules. Journal of Chemical Theory and Computation. 18(12). 7166–7178. 6 indexed citations

López, Roberto, Natalia Díaz, E. Francisco, Ángel Martín Pendás, & Dimas Suárez. (2022). QM/MM Energy Decomposition Using the Interacting Quantum Atoms Approach. Journal of Chemical Information and Modeling. 62(6). 1510–1524. 12 indexed citations

Díaz, Natalia & Dimas Suárez. (2020). Understanding the Conformational Properties of Fluorinated Polypeptides: Molecular Modelling of Unguisin A. Journal of Chemical Information and Modeling. 61(1). 223–237. 4 indexed citations

Díaz, Natalia & Dimas Suárez. (2017). Molecular Dynamics Studies of Matrix Metalloproteases. Methods in molecular biology. 1579. 111–134. 2 indexed citations

Suárez, Dimas & Natalia Díaz. (2017). Ligand Strain and Entropic Effects on the Binding of Macrocyclic and Linear Inhibitors: Molecular Modeling of Penicillopepsin Complexes. Journal of Chemical Information and Modeling. 57(8). 2045–2055. 6 indexed citations

Díaz, Natalia, et al.. (2015). Unraveling the distinctive features of hemorrhagic and non-hemorrhagic snake venom metalloproteinases using molecular simulations. Journal of Computer-Aided Molecular Design. 30(1). 69–83. 5 indexed citations

10.

Suárez, Dimas & Natalia Díaz. (2015). Molecular Modeling of Bioorganometallic Compounds: Thermodynamic Properties of Molybdocene–Glutathione Complexes and Mechanism of Peptide Hydrolysis. ChemPhysChem. 16(8). 1646–1656. 3 indexed citations

11.

Díaz, Natalia, et al.. (2014). An Integrated Computational and Experimental Approach to Gaining Selectivity for MMP‐2 within the Gelatinase Subfamily. ChemBioChem. 15(3). 399–412. 22 indexed citations

12.

Zapico, José María, Natalia Díaz, Rodrigo J. Carbajo, et al.. (2013). Progress towards water-soluble triazole-based selective MMP-2 inhibitors. Organic & Biomolecular Chemistry. 11(38). 6623–6623. 30 indexed citations

13.

Palacios, Juan J., José Barluenga, Fernándo Aznar, et al.. (2010). Strong In Vitro Activities of Two New Rifabutin Analogs against Multidrug-Resistant Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 54(12). 5363–5365. 8 indexed citations

14.

Díaz, Natalia, et al.. (2009). Kinetic and binding effects in peptide substrate selectivity of matrix metalloproteinase‐2: Molecular dynamics and QM/MM calculations. Proteins Structure Function and Bioinformatics. 78(1). 1–11. 18 indexed citations

15.

Díaz, Natalia, et al.. (2008). Ring opening at N1–C2 bond of azetidin-2-ones by a molybdenum hydroxo-carbonyl complex: evidence from a computational study. Dalton Transactions. 6427–6427. 1 indexed citations

16.

Díaz, Natalia & Dimas Suárez. (2008). Molecular dynamics simulations of the active matrix metalloproteinase‐2: Positioning of the N‐terminal fragment and binding of a small peptide substrate. Proteins Structure Function and Bioinformatics. 72(1). 50–61. 16 indexed citations

17.

Díaz, Natalia & Dimas Suárez. (2008). Peptide Hydrolysis Catalyzed by Matrix Metalloproteinase 2: A Computational Study. The Journal of Physical Chemistry B. 112(28). 8412–8424. 33 indexed citations

18.

Díaz, Natalia, Dimas Suárez, & Tomás L. Sordo. (2003). Conformational properties of penicillins: Quantum chemical calculations and molecular dynamics simulations of benzylpenicillin. Journal of Computational Chemistry. 24(15). 1864–1873. 10 indexed citations

19.

Díaz, Natalia, Dimas Suárez, Tomás L. Sordo, Iñaki Tuñón, & Estanislao Silla. (2002). Water-Assisted Alkaline Hydrolysis of Monobactams: A Theoretical Study. Chemistry - A European Journal. 8(4). 859–867. 11 indexed citations

20.

Suárez, Dimas, Natalia Díaz, & Kenneth M. Merz. (2002). Molecular dynamics simulations of the dinuclear zinc‐β‐lactamase from Bacteroides fragilis complexed with imipenem. Journal of Computational Chemistry. 23(16). 1587–1600. 48 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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