Valentín Iglesias

1.8k total citations
43 papers, 721 citations indexed

About

Valentín Iglesias is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, Valentín Iglesias has authored 43 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 12 papers in Physiology and 10 papers in Materials Chemistry. Recurrent topics in Valentín Iglesias's work include Protein Structure and Dynamics (18 papers), Prion Diseases and Protein Misfolding (15 papers) and Alzheimer's disease research and treatments (12 papers). Valentín Iglesias is often cited by papers focused on Protein Structure and Dynamics (18 papers), Prion Diseases and Protein Misfolding (15 papers) and Alzheimer's disease research and treatments (12 papers). Valentín Iglesias collaborates with scholars based in Spain, Poland and United States. Valentín Iglesias's co-authors include Salvador Ventura, Irantzu Pallarès, Jaime Santos, Jordi Pujols, Sebastian Kmiecik, Aleksander Kuriata, Mateusz Kurciński, Cristina Batlle, Natalia Sánchez de Groot and Oscar Conchillo‐Solé and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Valentín Iglesias

41 papers receiving 717 citations

Peers

Valentín Iglesias

PHYSI

NEURO

CTM

Meine Ramakers Belgium

Bryan M. Dunyak United States

Amaurys Ávila Ibarra United Kingdom

Chenyun Guo China

Rosemary S. Harrison Australia

Kyoung‐Jae Choi United States

Tania Morán Luengo Netherlands

Jean Vizzavona France

Roland Schmucki Switzerland

Teresa M. Treweek Australia

Meine Ramakers Belgium

Valentín Iglesias

431 ×0.7

241 ×1.4

PHYSI

72 ×0.7

18 ×0.3

NEURO

64 ×1.2

CTM

Citations per year, relative to Valentín Iglesias Valentín Iglesias (= 1×) peers Meine Ramakers

Countries citing papers authored by Valentín Iglesias

Since Specialization

Citations

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

Fields of papers citing papers by Valentín Iglesias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentín Iglesias

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

Iglesias, Valentín, et al.. (2025). Comprehensive protein datasets and benchmarking for liquid–liquid phase separation studies. Genome biology. 26(1). 198–198.

Iglesias, Valentín, Javier García‐Pardo, & Salvador Ventura. (2024). The dual nature of amyloids: From pathogenic aggregates to functional biostructures. The Biochemist. 46(6). 21–26.

Iglesias, Valentín, et al.. (2024). Structural information in therapeutic peptides: Emerging applications in biomedicine. FEBS Open Bio. 15(2). 254–268. 7 indexed citations

Kuriata, Aleksander, Mateusz Zalewski, Valentín Iglesias, et al.. (2024). Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation. Nucleic Acids Research. 52(W1). W170–W175. 12 indexed citations

Zalewski, Mateusz, et al.. (2024). Aggrescan4D: A comprehensive tool for pH‐dependent analysis and engineering of protein aggregation propensity. Protein Science. 33(10). e5180–e5180. 6 indexed citations

Badaczewska-Dawid, Aleksandra E., Aleksander Kuriata, Javier García‐Pardo, et al.. (2023). A3D Model Organism Database (A3D-MODB): a database for proteome aggregation predictions in model organisms. Nucleic Acids Research. 52(D1). D360–D367. 9 indexed citations

Iglesias, Valentín, et al.. (2023). A Review of Fifteen Years Developing Computational Tools to Study Protein Aggregation. SHILAP Revista de lepidopterología. 3(1). 1–20. 5 indexed citations

Iglesias, Valentín, et al.. (2023). aSynPEP-DB: a database of biogenic peptides for inhibiting α-synuclein aggregation. Database. 2023. 7 indexed citations

Santos, Jaime, et al.. (2023). Exploring cryptic amyloidogenic regions in prion-like proteins from plants. Frontiers in Plant Science. 13. 1060410–1060410. 4 indexed citations

10.

García‐Pardo, Javier, Aleksandra E. Badaczewska-Dawid, Valentín Iglesias, et al.. (2023). A3DyDB: exploring structural aggregation propensities in the yeast proteome. Microbial Cell Factories. 22(1). 186–186. 5 indexed citations

11.

Iglesias, Valentín, et al.. (2022). Prediction of the Effect of pH on the Aggregation and Conditional Folding of Intrinsically Disordered Proteins with SolupHred and DispHred. Methods in molecular biology. 2449. 197–211. 5 indexed citations

12.

Batlle, Cristina, et al.. (2021). MED15 prion-like domain forms a coiled-coil responsible for its amyloid conversion and propagation. Communications Biology. 4(1). 414–414. 14 indexed citations

13.

Santos, Jaime, Valentín Iglesias, Marco Mangiagalli, et al.. (2020). pH-Dependent Aggregation in Intrinsically Disordered Proteins Is Determined by Charge and Lipophilicity. Cells. 9(1). 145–145. 45 indexed citations

14.

Santos, Jaime, et al.. (2020). DispHred: A Server to Predict pH-Dependent Order–Disorder Transitions in Intrinsically Disordered Proteins. International Journal of Molecular Sciences. 21(16). 5814–5814. 15 indexed citations

15.

Iglesias, Valentín, Oscar Conchillo‐Solé, Cristina Batlle, & Salvador Ventura. (2019). AMYCO: evaluation of mutational impact on prion-like proteins aggregation propensity. BMC Bioinformatics. 20(1). 24–24. 24 indexed citations

16.

Iglesias, Valentín, Lisanna Paladin, Irantzu Pallarès, et al.. (2019). In silico Characterization of Human Prion-Like Proteins: Beyond Neurological Diseases. Frontiers in Physiology. 10. 314–314. 14 indexed citations

17.

Santos, Jaime, Valentín Iglesias, & Salvador Ventura. (2019). Computational prediction and redesign of aberrant protein oligomerization. Progress in molecular biology and translational science. 169. 43–83. 12 indexed citations

18.

Batlle, Cristina, Natalia Sánchez de Groot, Valentín Iglesias, Susanna Navarro, & Salvador Ventura. (2017). Characterization of Soft Amyloid Cores in Human Prion-Like Proteins. Scientific Reports. 7(1). 12134–12134. 25 indexed citations

19.

Chica, Manuel, et al.. (2016). Identimod: Modeling and managing brand value using soft computing. Decision Support Systems. 89. 41–55. 4 indexed citations

20.

Conchillo‐Solé, Oscar, Valentín Iglesias, Frédéric Rousseau, et al.. (2015). PrionW: a server to identify proteins containing glutamine/asparagine rich prion-like domains and their amyloid cores. Nucleic Acids Research. 43(W1). W331–W337. 63 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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