Chiara Pallara

625 total citations
17 papers, 226 citations indexed

About

Chiara Pallara is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Chiara Pallara has authored 17 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Computational Theory and Mathematics. Recurrent topics in Chiara Pallara's work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (3 papers) and Legionella and Acanthamoeba research (3 papers). Chiara Pallara is often cited by papers focused on Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (3 papers) and Legionella and Acanthamoeba research (3 papers). Chiara Pallara collaborates with scholars based in Spain, United States and United Kingdom. Chiara Pallara's co-authors include Juan Fernández‐Recio, Aitor Hierro, Matthias P. Machner, Adriana L. Rojas, Miguel Romero‐Durana, Brian Jiménez‐García, Iain H. Moal, María Lucas, Andrew H. Gaspar and M. Ramona Neunuebel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Chiara Pallara

15 papers receiving 225 citations

Peers

Chiara Pallara

ENDOC

CTM

IMMUN

ONCOL

Marie Locard‐Paulet France

Ernest C. So United Kingdom

Timothy Travers United States

Natalie De Jonge Belgium

J.M. Adams Germany

Nikhil Kumar Tulsian Singapore

Bethny Morrissey Australia

Mukul K. Midha United States

Kenneth Segers Netherlands

Mallika Iyer United States

Marie Locard‐Paulet France

Chiara Pallara

219 ×1.5

22 ×0.4

ENDOC

14 ×0.4

CTM

61 ×1.9

IMMUN

58 ×2.0

ONCOL

Citations per year, relative to Chiara Pallara Chiara Pallara (= 1×) peers Marie Locard‐Paulet

Countries citing papers authored by Chiara Pallara

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Pallara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Pallara

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

All Works

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17 of 17 papers shown

Pallara, Chiara, et al.. (2025). How Feasible Is Docking of PROTACs to POI-E3L Complexes? Testing Physics-Based and ML-Based Docking Tools. Journal of Chemical Information and Modeling. 65(22). 12551–12562.

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

Catacchio, Claudia Rita, et al.. (2023). Role of biopsy techniques in breast cancer diagnosis: overview and update. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 10(4).

Pallara, Chiara, Sònia Brun, Jesús Seco, et al.. (2022). Peptidomimetics designed to bind to RAS effector domain are promising cancer therapeutic compounds. Scientific Reports. 12(1). 15810–15810. 5 indexed citations

Pallara, Chiara, et al.. (2020). Development of Innovative Antiatherosclerotic Peptides through the Combination of Molecular Modeling and a Dual (Biochemical‐Cellular) Screening System. Advanced Therapeutics. 3(8). 7 indexed citations

Pallara, Chiara, Laura Nasarre, Sònia Benı́tez, et al.. (2019). Molecular basis for the protective effects of low-density lipoprotein receptor-related protein 1 (LRP1)-derived peptides against LDL aggregation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1861(7). 1302–1316. 19 indexed citations

Pallara, Chiara, Galia Maik-Rachline, Tamar Hanoch, et al.. (2018). Intrinsically active MEK variants are differentially regulated by proteinases and phosphatases. Scientific Reports. 8(1). 11830–11830. 16 indexed citations

Barradas‐Bautista, Didier, Mireia Rosell, Chiara Pallara, & Juan Fernández‐Recio. (2017). Structural Prediction of Protein–Protein Interactions by Docking: Application to Biomedical Problems. Advances in protein chemistry and structural biology. 110. 203–249. 17 indexed citations

Romero‐Durana, Miguel, Chiara Pallara, Fabian Glaser, & Juan Fernández‐Recio. (2016). Modeling Binding Affinity of Pathological Mutations for Computational Protein Design. Methods in molecular biology. 1529. 139–159. 4 indexed citations

10.

Pallara, Chiara, Manuel Rueda, Ruben Abagyan, & Juan Fernández‐Recio. (2016). Conformational Heterogeneity of Unbound Proteins Enhances Recognition in Protein–Protein Encounters. Journal of Chemical Theory and Computation. 12(7). 3236–3249. 9 indexed citations

11.

Pallara, Chiara, Brian Jiménez‐García, Miguel Romero‐Durana, Iain H. Moal, & Juan Fernández‐Recio. (2016). pyDock scoring for the new modeling challenges in docking: Protein–peptide, homo‐multimers, and domain–domain interactions. Proteins Structure Function and Bioinformatics. 85(3). 487–496. 17 indexed citations

12.

Pallara, Chiara, et al.. (2015). Interaction of photosystem I from Phaeodactylum tricornutum with plastocyanins as compared with its native cytochrome c6: Reunion with a lost donor. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1847(12). 1549–1559. 9 indexed citations

13.

Lucas, María, Andrew H. Gaspar, Chiara Pallara, et al.. (2014). Structural basis for the recruitment and activation of the Legionella phospholipase VipD by the host GTPase Rab5. Proceedings of the National Academy of Sciences. 111(34). E3514–23. 39 indexed citations

14.

Lang, Valérie, Chiara Pallara, Amaia Zabala‐Letona, et al.. (2014). Tetramerization‐defects of p53 result in aberrant ubiquitylation and transcriptional activity. Molecular Oncology. 8(5). 1026–1042. 21 indexed citations

15.

Chen, Yang, Igor Tascón, M. Ramona Neunuebel, et al.. (2013). Structural Basis for Rab1 De-AMPylation by the Legionella pneumophila Effector SidD. PLoS Pathogens. 9(5). e1003382–e1003382. 25 indexed citations

16.

Chen, Yang, M. Ramona Neunuebel, Chiara Pallara, et al.. (2013). Correction: Structural Basis for Rab1 De-AMPylation by the Legionella pneumophila Effector SidD. PLoS Pathogens. 9(7). 11 indexed citations

17.

Pallara, Chiara, Brian Jiménez‐García, Laura Pérez‐Cano, et al.. (2013). Expanding the frontiers of protein–protein modeling: From docking and scoring to binding affinity predictions and other challenges. Proteins Structure Function and Bioinformatics. 81(12). 2192–2200. 19 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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