Albert Sorribas

2.3k total citations
80 papers, 1.9k citations indexed

About

Albert Sorribas is a scholar working on Molecular Biology, Cell Biology and Statistics and Probability. According to data from OpenAlex, Albert Sorribas has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Statistics and Probability. Recurrent topics in Albert Sorribas's work include Microbial Metabolic Engineering and Bioproduction (29 papers), Gene Regulatory Network Analysis (21 papers) and Protein Structure and Dynamics (16 papers). Albert Sorribas is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (29 papers), Gene Regulatory Network Analysis (21 papers) and Protein Structure and Dynamics (16 papers). Albert Sorribas collaborates with scholars based in Spain, United States and Germany. Albert Sorribas's co-authors include Rui Alves, Michael A. Savageau, Ester Vilaprinyó, Marta Cascante, Enrique Herrero, Raúl E. Curto, Joaquim Ros, Elisa Cabiscol, Eberhard O. Voit and Gonzalo Guillén‐Gosálbez and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Scientific Reports.

In The Last Decade

Albert Sorribas

78 papers receiving 1.8k citations

Peers

Albert Sorribas

GENET

Melissa M. Page Canada

Shu‐Yu Lin Taiwan

N.A.W. van Riel Netherlands

Axel Kowald Germany

Shigeo Takenaka Japan

Daniël J. Vis Netherlands

Deli Zhang China

Takeshi Kitahara Japan

Marı́a Luz Cárdenas France

Hamid R. Eghbalnia United States

Melissa M. Page Canada

Albert Sorribas

1.1k ×0.8

165 ×1.0

115 ×0.8

100 ×0.9

229 ×2.0

GENET

Citations per year, relative to Albert Sorribas Albert Sorribas (= 1×) peers Melissa M. Page

Countries citing papers authored by Albert Sorribas

Since Specialization

Citations

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

Fields of papers citing papers by Albert Sorribas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Sorribas

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Vilaprinyó, Ester, et al.. (2025). Beyond statistical power in designing clinical trials: Shiny/R apps to the rescue. Teaching Statistics. 47(3). 187–199.

Sorribas, Albert, et al.. (2025). Multimodal data integration to model, predict, and understand changes in plant biodiversity: a systematic review. Ecological Informatics. 92. 103485–103485.

Marı́n-Sanguino, Alberto, et al.. (2024). Modeling the effects of strigolactone levels on maize root system architecture. Frontiers in Plant Science. 14. 1329556–1329556. 5 indexed citations

Sorribas, Albert, et al.. (2024). Modeling the effect of daytime duration on the biosynthesis of terpenoid precursors. Frontiers in Plant Science. 15. 1465030–1465030. 1 indexed citations

Sorribas, Albert, Ester Vilaprinyó, Laura Pérez-Fons, et al.. (2023). Changing biosynthesis of terpenoid percursors in rice through synthetic biology. Frontiers in Plant Science. 14. 1133299–1133299. 8 indexed citations

Sorribas, Albert, et al.. (2022). A mathematical model for strigolactone biosynthesis in plants. Frontiers in Plant Science. 13. 979162–979162. 3 indexed citations

Pereira, Tânia, Ester Vilaprinyó, Albert Sorribas, et al.. (2018). Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum. Ultrasound in Medicine & Biology. 44(12). 2780–2792. 2 indexed citations

Guillén‐Gosálbez, Gonzalo, et al.. (2013). Identification of regulatory structure and kinetic parameters of biochemical networks via mixed-integer dynamic optimization. BMC Systems Biology. 7(1). 113–113. 19 indexed citations

Bai, Chao, Sol M. Rivera, Vicente Medina, et al.. (2013). An in vitro system for the rapid functional characterization of genes involved in carotenoid biosynthesis and accumulation. The Plant Journal. 77(3). 464–475. 69 indexed citations

10.

Vilaprinyó, Ester, et al.. (2012). Two Component Systems: Physiological Effect of a Third Component. PLoS ONE. 7(2). e31095–e31095. 10 indexed citations

11.

Williams, Philip G., Albert Sorribas, & Zhibin Liang. (2010). New Methods to Explore Marine Resources for Alzheimers Therapeutics. Current Alzheimer Research. 7(3). 210–213. 12 indexed citations

12.

Guillén‐Gosálbez, Gonzalo & Albert Sorribas. (2009). Identifying quantitative operation principles in metabolic pathways: a systematic method for searching feasible enzyme activity patterns leading to cellular adaptive responses. BMC Bioinformatics. 10(1). 386–386. 25 indexed citations

13.

Vilaprinyó, Ester, Rui Alves, & Albert Sorribas. (2006). Use of physiological constraints to identify quantitative design principles for gene expression in yeast adaptation to heat shock. BMC Bioinformatics. 7(1). 184–184. 26 indexed citations

14.

Alves, Rui, Enrique Herrero, & Albert Sorribas. (2004). Predictive reconstruction of the mitochondrial iron–sulfur cluster assembly metabolism: I. The role of the protein pair ferredoxin–ferredoxin reductase (Yah1–Arh1). Proteins Structure Function and Bioinformatics. 56(2). 354–366. 24 indexed citations

15.

Trujillano, Javier, Jaume March‐Llanes, & Albert Sorribas. (2004). Aproximación metodológica al uso de redes neuronales artificiales para la predicción de resultados en medicina. Medicina Clínica. 122(Supl.1). 59–67. 22 indexed citations

16.

Sorribas, Albert, Jaume March‐Llanes, & Javier Trujillano. (2002). A new parametric method based on S‐distributions for computing receiver operating characteristic curves for continuous diagnostic tests. Statistics in Medicine. 21(9). 1213–1235. 14 indexed citations

17.

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

18.

Tarabal, Olga, Jordi Calderó, Joan Ribera, et al.. (1996). Regulation of Motoneuronal Calcitonin Gene–related Peptide (CGRP) During Axonal Growth and Neuromuscular Synaptic Plasticity Induced by Botulinum Toxin in Rats. European Journal of Neuroscience. 8(4). 829–836. 56 indexed citations

19.

Savageau, Michael A. & Albert Sorribas. (1989). Constraints among molecular and systemic properties: Implications for physiological genetics. Journal of Theoretical Biology. 141(1). 93–115. 58 indexed citations

20.

Sorribas, Albert. (1988). Alternative S-system representations for reversible biochemical pathways. Mathematical and Computer Modelling. 11. 129–133. 1 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.

Explore authors with similar magnitude of impact