Carlos Outeiral

1.1k total citations
9 papers, 416 citations indexed

About

Carlos Outeiral is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Carlos Outeiral has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Artificial Intelligence. Recurrent topics in Carlos Outeiral's work include RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (3 papers). Carlos Outeiral is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (3 papers). Carlos Outeiral collaborates with scholars based in United Kingdom, United States and Slovakia. Carlos Outeiral's co-authors include Charlotte M. Deane, Paul L. A. Popelier, Mark A. Vincent, Ángel Martín Pendás, Garrett M. Morris, Simon C. Benjamin, Daniel A. Nissley, Brian Hie, Irina D. Pogozheva and Andrei L. Lomize and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Bioinformatics.

In The Last Decade

Carlos Outeiral

9 papers receiving 409 citations

Peers

Carlos Outeiral

MB

AI

MC

AMPO

CTM

Maximilian Scheurer Germany

Xiangyu Jia China

Nicholas P. Bauman United States

Moyocoyani Molina‐Espíritu Spain

Urban Borštnik Slovenia

Ioannis N. Demetropoulos Greece

Peter Reinholdt Denmark

Fuchun Ge China

Valerio Rizzi Switzerland

Maximilian Scheurer Germany

Carlos Outeiral

190 ×1.1

MB

34 ×0.4

AI

137 ×1.7

MC

200 ×2.8

AMPO

32 ×0.5

CTM

Citations per year, relative to Carlos Outeiral Carlos Outeiral (= 1×) peers Maximilian Scheurer

Countries citing papers authored by Carlos Outeiral

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Outeiral

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Outeiral

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

All Works

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9 of 9 papers shown

1.

Outeiral, Carlos, et al.. (2024). Generative artificial intelligence for de novo protein design. Current Opinion in Structural Biology. 86. 102794–102794. 25 indexed citations

2.

Outeiral, Carlos & Charlotte M. Deane. (2024). Codon language embeddings provide strong signals for use in protein engineering. Nature Machine Intelligence. 6(2). 170–179. 33 indexed citations

3.

Payne, M.P., C. Clark, Philomena Mburu, et al.. (2023). Discovery and pharmacophoric characterization of chemokine network inhibitors using phage-display, saturation mutagenesis and computational modelling. Nature Communications. 14(1). 5763–5763. 9 indexed citations

4.

Outeiral, Carlos & Charlotte M. Deane. (2023). Perfecting antibodies with language models. Nature Biotechnology. 42(2). 185–186. 5 indexed citations

5.

Outeiral, Carlos, Daniel A. Nissley, & Charlotte M. Deane. (2022). Current structure predictors are not learning the physics of protein folding. Bioinformatics. 38(7). 1881–1887. 53 indexed citations

6.

Lomize, Andrei L., et al.. (2022). Membranome 3.0: Database of single‐pass membrane proteins with AlphaFold models. Protein Science. 31(5). 24 indexed citations

7.

Outeiral, Carlos, et al.. (2020). The prospects of quantum computing in computational molecular biology. Oxford University Research Archive (ORA) (University of Oxford). 143 indexed citations

8.

Outeiral, Carlos, et al.. (2020). Deconvolution of conformational exchange from Raman spectra of aqueous RNA nucleosides. Communications Chemistry. 3(1). 56–56. 7 indexed citations

9.

Outeiral, Carlos, Mark A. Vincent, Ángel Martín Pendás, & Paul L. A. Popelier. (2018). Revitalizing the concept of bond order through delocalization measures in real space. Chemical Science. 9(25). 5517–5529. 117 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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