Nicolás Palópoli

2.1k total citations
23 papers, 532 citations indexed

About

Nicolás Palópoli is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Nicolás Palópoli has authored 23 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Nicolás Palópoli's work include Protein Structure and Dynamics (14 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Phylogenetic Studies (5 papers). Nicolás Palópoli is often cited by papers focused on Protein Structure and Dynamics (14 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Phylogenetic Studies (5 papers). Nicolás Palópoli collaborates with scholars based in Argentina, United Kingdom and Germany. Nicolás Palópoli's co-authors include Gustavo Parisi, Marı́a Silvina Fornasari, Lucía B. Chemes, Toby J. Gibson, Richard J. Edwards, Juliana Glavina, Norman E. Davey, Sushama Michael, Hugo Sámano‐Sánchez and Marc Gouw and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Nicolás Palópoli

23 papers receiving 530 citations

Peers

Nicolás Palópoli

CTM

Renxiang Yan China

Majid Taghdir Iran

Elin Teppa France

Cesira de Chiara United Kingdom

Valentín Iglesias Spain

Rob van Montfort United Kingdom

Gal Masrati Israel

Jure Borišek Slovenia

Marcelo D. Costabel Argentina

Amitava Roy United States

Renxiang Yan China

Nicolás Palópoli

452 ×1.1

55 ×0.7

23 ×0.3

38 ×0.7

43 ×0.9

CTM

Citations per year, relative to Nicolás Palópoli Nicolás Palópoli (= 1×) peers Renxiang Yan

Countries citing papers authored by Nicolás Palópoli

Since Specialization

Citations

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

Fields of papers citing papers by Nicolás Palópoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás Palópoli

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

Escobedo, Nahuel, Tadeo E. Saldaño, Nicolás Palópoli, et al.. (2024). Revealing Missing Protein–Ligand Interactions Using AlphaFold Predictions. Journal of Molecular Biology. 436(23). 168852–168852. 1 indexed citations

Rueda, Ana Julia Velez, et al.. (2023). CaviDB: a database of cavities and their features in the structural and conformational space of proteins. Database. 2023. 5 indexed citations

Saldaño, Tadeo E., et al.. (2023). Expanding the repertoire of human tandem repeat RNA-binding proteins. PLoS ONE. 18(9). e0290890–e0290890. 1 indexed citations

Saldaño, Tadeo E., Nahuel Escobedo, Julia Marchetti, et al.. (2022). Impact of protein conformational diversity on AlphaFold predictions. Bioinformatics. 38(10). 2742–2748. 99 indexed citations

Escobedo, Nahuel, et al.. (2022). CoDNaS-Q: a database of conformational diversity of the native state of proteins with quaternary structure. Bioinformatics. 38(21). 4959–4961. 3 indexed citations

Rueda, Ana Julia Velez, et al.. (2022). Structural and evolutionary analysis unveil functional adaptations in the promiscuous behavior of serum albumins. Biochimie. 197. 113–120. 3 indexed citations

Hirsh, Layla, et al.. (2021). CoDNaS-RNA: a database of conformational diversity in the native state of RNA. Bioinformatics. 38(6). 1745–1748. 2 indexed citations

Parisi, Gustavo, Nicolás Palópoli, Silvio C. E. Tosatto, Marı́a Silvina Fornasari, & Péter Tompa. (2021). “Protein” no longer means what it used to. SHILAP Revista de lepidopterología. 3. 146–152. 6 indexed citations

Palópoli, Nicolás, Julia Marchetti, Alexander Miguel Monzón, et al.. (2020). Intrinsically Disordered Protein Ensembles Shape Evolutionary Rates Revealing Conformational Patterns. Journal of Molecular Biology. 433(3). 166751–166751. 3 indexed citations

10.

Palópoli, Nicolás, Javier Iserte, Lucía B. Chemes, et al.. (2020). The articles.ELM resource: simplifying access to protein linear motif literature by annotation, text-mining and classification. Database. 2020. 4 indexed citations

11.

Rueda, Ana Julia Velez, et al.. (2019). ProtMiscuity: a database of promiscuous proteins. Database. 2019. 7 indexed citations

12.

Gouw, Marc, Sushama Michael, Hugo Sámano‐Sánchez, et al.. (2019). ELM—the eukaryotic linear motif resource in 2020. Nucleic Acids Research. 48(D1). D296–D306. 199 indexed citations

13.

Rueda, Ana Julia Velez, Guillermo Ignacio Benítez, Julia Marchetti, et al.. (2019). Bioinformatics calls the school: Use of smartphones to introduce Python for bioinformatics in high schools. PLoS Computational Biology. 15(2). e1006473–e1006473. 4 indexed citations

14.

Palópoli, Nicolás, et al.. (2018). Starch Synthesis in Ostreococcus tauri: The Starch-Binding Domains of Starch Synthase III-B Are Essential for Catalytic Activity. Frontiers in Plant Science. 9. 1541–1541. 6 indexed citations

15.

Palópoli, Nicolás, Alexander Miguel Monzón, Gustavo Parisi, & Marı́a Silvina Fornasari. (2016). Addressing the Role of Conformational Diversity in Protein Structure Prediction. PLoS ONE. 11(5). e0154923–e0154923. 10 indexed citations

16.

Edwards, Richard J. & Nicolás Palópoli. (2014). Computational Prediction of Short Linear Motifs from Protein Sequences. Methods in molecular biology. 1268. 89–141. 33 indexed citations

17.

Palópoli, Nicolás, Esteban Lanzarotti, & Gustavo Parisi. (2013). BeEP Server: using evolutionary information for quality assessment of protein structure models. Nucleic Acids Research. 41(W1). W398–W405. 4 indexed citations

18.

Palópoli, Nicolás, et al.. (2012). Protein Conformational Diversity Modulates Sequence Divergence. Molecular Biology and Evolution. 30(1). 79–87. 29 indexed citations

19.

Busi, María V., Nicolás Palópoli, Hugo Valdez, et al.. (2007). Functional and structural characterization of the catalytic domain of the starch synthase III from Arabidopsis thaliana. Proteins Structure Function and Bioinformatics. 70(1). 31–40. 34 indexed citations

20.

Palópoli, Nicolás, María V. Busi, Marı́a Silvina Fornasari, et al.. (2006). Starch‐synthase III family encodes a tandem of three starch‐binding domains. Proteins Structure Function and Bioinformatics. 65(1). 27–31. 30 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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