Carlos Ramírez-Palacios

426 total citations
10 papers, 288 citations indexed

About

Carlos Ramírez-Palacios is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Carlos Ramírez-Palacios has authored 10 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Carlos Ramírez-Palacios's work include Protein Structure and Dynamics (4 papers), Enzyme Catalysis and Immobilization (4 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Carlos Ramírez-Palacios is often cited by papers focused on Protein Structure and Dynamics (4 papers), Enzyme Catalysis and Immobilization (4 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Carlos Ramírez-Palacios collaborates with scholars based in Netherlands, Germany and Switzerland. Carlos Ramírez-Palacios's co-authors include ‪Siewert J. Marrink, Sebastian Thallmair, Paulo C. T. Souza, Paolo Conflitti, Riccardo Alessandri, Stefano Raniolo, Vittorio Limongelli, Dick B. Janssen, Hein J. Wijma and Qinglong Meng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Catalysis.

In The Last Decade

Carlos Ramírez-Palacios

10 papers receiving 285 citations

Peers

Carlos Ramírez-Palacios
Rory Crean Sweden
Tatiana Miti United States
Kasper Huus Denmark
H. Adrian Bunzel Switzerland
Payal Chatterjee United States
Rory Crean Sweden
Carlos Ramírez-Palacios
Citations per year, relative to Carlos Ramírez-Palacios Carlos Ramírez-Palacios (= 1×) peers Rory Crean

Countries citing papers authored by Carlos Ramírez-Palacios

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Ramírez-Palacios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Ramírez-Palacios. 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 Carlos Ramírez-Palacios. The network helps show where Carlos Ramírez-Palacios may publish in the future.

Co-authorship network of co-authors of Carlos Ramírez-Palacios

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

All Works

10 of 10 papers shown
1.
Pijning, Tjaard, Andreja Vujičić‐Žagar, René M. de Jong, et al.. (2023). Structural and time‐resolved mechanistic investigations of protein hydrolysis by the acidic proline‐specific endoprotease from Aspergillus niger. Protein Science. 33(1). e4856–e4856. 7 indexed citations
2.
Ramírez-Palacios, Carlos & ‪Siewert J. Marrink. (2023). Super High-Throughput Screening of Enzyme Variants by Spectral Graph Convolutional Neural Networks. Journal of Chemical Theory and Computation. 19(14). 4668–4677. 9 indexed citations
3.
Ramírez-Palacios, Carlos & ‪Siewert J. Marrink. (2022). Computational prediction of ω-transaminase selectivity by deep learning analysis of molecular dynamics trajectories. SHILAP Revista de lepidopterología. 4. e1–e1. 4 indexed citations
4.
Meng, Qinglong, Carlos Ramírez-Palacios, Hein J. Wijma, & Dick B. Janssen. (2022). Protein engineering of amine transaminases. SHILAP Revista de lepidopterología. 2. 6 indexed citations
5.
Ramírez-Palacios, Carlos, et al.. (2021). Thermostable D-amino acid decarboxylases derived from Thermotoga maritima diaminopimelate decarboxylase. Protein Engineering Design and Selection. 34. 5 indexed citations
6.
Ramírez-Palacios, Carlos, et al.. (2021). Semiprocessive Hyperglycosylation of Adhesin by Bacterial Protein N -Glycosyltransferases. ACS Chemical Biology. 16(1). 165–175. 7 indexed citations
7.
Ramírez-Palacios, Carlos, Hein J. Wijma, Sebastian Thallmair, ‪Siewert J. Marrink, & Dick B. Janssen. (2021). Computational Prediction of ω-Transaminase Specificity by a Combination of Docking and Molecular Dynamics Simulations. Journal of Chemical Information and Modeling. 61(11). 5569–5580. 21 indexed citations
8.
Meng, Qinglong, Carlos Ramírez-Palacios, Sebastian Thallmair, et al.. (2021). Computational Redesign of an ω-Transaminase from Pseudomonas jessenii for Asymmetric Synthesis of Enantiopure Bulky Amines. ACS Catalysis. 11(17). 10733–10747. 43 indexed citations
9.
Souza, Paulo C. T., Sebastian Thallmair, Paolo Conflitti, et al.. (2020). Protein–ligand binding with the coarse-grained Martini model. Nature Communications. 11(1). 150 indexed citations
10.
Dong, Linhan, Qinglong Meng, Carlos Ramírez-Palacios, et al.. (2020). Asymmetric Synthesis of Optically Pure Aliphatic Amines with an Engineered Robust ω-Transaminase. Catalysts. 10(11). 1310–1310. 36 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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