Pedro de Atauri

2.6k total citations
53 papers, 1.7k citations indexed

About

Pedro de Atauri is a scholar working on Molecular Biology, Cancer Research and Spectroscopy. According to data from OpenAlex, Pedro de Atauri has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Spectroscopy. Recurrent topics in Pedro de Atauri's work include Microbial Metabolic Engineering and Bioproduction (21 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Gene Regulatory Network Analysis (10 papers). Pedro de Atauri is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (21 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Gene Regulatory Network Analysis (10 papers). Pedro de Atauri collaborates with scholars based in Spain, United Kingdom and United States. Pedro de Atauri's co-authors include Marta Cascante, Stephen A. Ramsey, Hamid Bolouri, Josep J. Centelles, Míriam Tarrado‐Castellarnau, John D. Aitchison, Begoña Comı́n-Anduix, László G. Boros, Paul W. N. Lee and Daehee Hwang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Genetics.

In The Last Decade

Pedro de Atauri

52 papers receiving 1.6k citations

Peers

Pedro de Atauri
Mark E. Schurdak United States
Giovanni Paternostro United States
Martijn van Iersel Netherlands
Nicola Tolliday United States
Federico Goodsaid United States
Michael Kohl Germany
Giovanni Minervini Italy
Toshimori Kitami United States
James D. West United States
Thomas M. Vondriska United States
Mark E. Schurdak United States
Pedro de Atauri
Citations per year, relative to Pedro de Atauri Pedro de Atauri (= 1×) peers Mark E. Schurdak

Countries citing papers authored by Pedro de Atauri

Since Specialization
Citations

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

Fields of papers citing papers by Pedro de Atauri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro de Atauri. 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 Pedro de Atauri. The network helps show where Pedro de Atauri may publish in the future.

Co-authorship network of co-authors of Pedro de Atauri

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

All Works

20 of 20 papers shown
1.
Marín, Silvia, Pedro de Atauri, Estefanía Moreno, et al.. (2022). An Escape-Room about Krebs cycle prepared for Chemical Students. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 3(2). 155–164. 1 indexed citations
2.
Foguet, Carles, Míriam Tarrado‐Castellarnau, Silvia Marín, et al.. (2021). Cysteine and Folate Metabolism Are Targetable Vulnerabilities of Metastatic Colorectal Cancer. Cancers. 13(3). 425–425. 16 indexed citations
3.
Ashrafian, Hutan, Viknesh Sounderajah, Robert C. Glen, et al.. (2020). Metabolomics: The Stethoscope for the Twenty-First Century. Medical Principles and Practice. 30(4). 301–310. 52 indexed citations
4.
Foguet, Carles, Silvia Marín, Vitaly A. Selivanov, et al.. (2019). p13CMFA: Parsimonious 13C metabolic flux analysis. PLoS Computational Biology. 15(9). e1007310–e1007310. 7 indexed citations
5.
Pey, Jon, Edurne San José‐Eneriz, María C. Ochoa, et al.. (2017). In-silico gene essentiality analysis of polyamine biosynthesis reveals APRT as a potential target in cancer. Scientific Reports. 7(1). 14358–14358. 16 indexed citations
6.
Tarrado‐Castellarnau, Míriam, et al.. (2017). De novo MYC addiction as an adaptive response of cancer cells to CDK 4/6 inhibition. Molecular Systems Biology. 13(10). 940–940. 48 indexed citations
7.
Atauri, Pedro de, David Gómez-Cabrero, Isaac Cano, et al.. (2016). ChainRank, a chain prioritisation method for contextualisation of biological networks. BMC Bioinformatics. 17(1). 17–17. 20 indexed citations
8.
Ramírez-Bajo, María José, Pedro de Atauri, Fernando Ortega, et al.. (2014). Effects of Cadmium and Mercury on the Upper Part of Skeletal Muscle Glycolysis in Mice. PLoS ONE. 9(1). e80018–e80018. 39 indexed citations
9.
Atauri, Pedro de, Adrián Benito, Pedro Vizán, et al.. (2010). Carbon metabolism and the sign of control coefficients in metabolic adaptations underlying K-ras transformation. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1807(6). 746–754. 19 indexed citations
10.
Rodríguez‐Prados, Juan‐Carlos, Pedro de Atauri, Jérôme Maury, et al.. (2009). In silico strategy to rationally engineer metabolite production: A case study for threonine in Escherichia coli. Biotechnology and Bioengineering. 103(3). 609–620. 15 indexed citations
11.
Selivanov, Vitaly A., Pedro de Atauri, Josep J. Centelles, et al.. (2007). The changes in the energy metabolism of human muscle induced by training. Journal of Theoretical Biology. 252(3). 402–410. 7 indexed citations
12.
Ramsey, Stephen A., Jennifer J. Smith, David Orrell, et al.. (2006). Dual feedback loops in the GAL regulon suppress cellular heterogeneity in yeast. Nature Genetics. 38(9). 1082–1087. 72 indexed citations
13.
Hwang, Daehee, Alistair G. Rust, Stephen A. Ramsey, et al.. (2005). A data integration methodology for systems biology. Proceedings of the National Academy of Sciences. 102(48). 17296–17301. 254 indexed citations
14.
Hwang, Daehee, Jennifer J. Smith, Deena M. Leslie Pedrioli, et al.. (2005). A data integration methodology for systems biology: Experimental verification. Proceedings of the National Academy of Sciences. 102(48). 17302–17307. 92 indexed citations
15.
Atauri, Pedro de, Ada Repiso, Baldomero Oliva, et al.. (2004). Characterization of the first described mutation of human red blood cell phosphoglycerate mutase. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1740(3). 403–410. 10 indexed citations
16.
Maher, Anthony D., Philip W. Kuchel, Fernando Ortega, et al.. (2003). Mathematical modelling of the urea cycle. European Journal of Biochemistry. 270(19). 3953–3961. 31 indexed citations
17.
Chassagnole, Christophe, et al.. (2003). Dynamic simulation of pollutant effects on the threonine pathway in Escherichia coli. Comptes Rendus Biologies. 326(5). 501–508. 8 indexed citations
18.
Vera, Julio, Pedro de Atauri, Marta Cascante, & Néstor V. Torres. (2003). Multicriteria optimization of biochemical systems by linear programming: Application to production of ethanol by Saccharomyces cerevisiae. Biotechnology and Bioengineering. 83(3). 335–343. 64 indexed citations
19.
20.
Atauri, Pedro de, Albert Sorribas, & Marta Cascante. (2000). Analysis and prediction of the effect of uncertain boundary values in modeling a metabolic pathway. Biotechnology and Bioengineering. 68(1). 18–30. 9 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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