Eva Balsa‐Canto

4.4k total citations
99 papers, 3.0k citations indexed

About

Eva Balsa‐Canto is a scholar working on Molecular Biology, Control and Systems Engineering and Food Science. According to data from OpenAlex, Eva Balsa‐Canto has authored 99 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 33 papers in Control and Systems Engineering and 18 papers in Food Science. Recurrent topics in Eva Balsa‐Canto's work include Gene Regulatory Network Analysis (33 papers), Advanced Control Systems Optimization (32 papers) and Microbial Metabolic Engineering and Bioproduction (30 papers). Eva Balsa‐Canto is often cited by papers focused on Gene Regulatory Network Analysis (33 papers), Advanced Control Systems Optimization (32 papers) and Microbial Metabolic Engineering and Bioproduction (30 papers). Eva Balsa‐Canto collaborates with scholars based in Spain, United Kingdom and Germany. Eva Balsa‐Canto's co-authors include Julio R. Banga, Antonio A. Alonso, Carmen G. Moles, Vassilios S. Vassiliadis, David Henriques, Alejandro F. Villaverde, Míriam R. García, José A. Egea, Carlos Vilas and Attila Gábor and has published in prestigious journals such as Environmental Science & Technology, Bioinformatics and PLoS ONE.

In The Last Decade

Eva Balsa‐Canto

95 papers receiving 2.9k citations

Peers

Eva Balsa‐Canto

CSE

CTM

Antonio A. Alonso Spain

José A. Egea Spain

Julio R. Banga Spain

Eugénio C. Ferreira Portugal

Denis Dochain Belgium

Lin Huang China

Hidde de Jong France

Vincent Fromion France

Junwei Wang China

Isabel Rocha Portugal

Antonio A. Alonso Spain

Eva Balsa‐Canto

1.0k ×0.7

1.4k ×2.0

CSE

384 ×1.1

317 ×0.9

CTM

230 ×1.0

Citations per year, relative to Eva Balsa‐Canto Eva Balsa‐Canto (= 1×) peers Antonio A. Alonso

Countries citing papers authored by Eva Balsa‐Canto

Since Specialization

Citations

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

Fields of papers citing papers by Eva Balsa‐Canto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Balsa‐Canto. 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 Eva Balsa‐Canto. The network helps show where Eva Balsa‐Canto may publish in the future.

Co-authorship network of co-authors of Eva Balsa‐Canto

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Balsa‐Canto. A scholar is included among the top collaborators of Eva Balsa‐Canto 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 Eva Balsa‐Canto. Eva Balsa‐Canto 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

Henriques, David, et al.. (2025). Temperature-Dependent Kinetic Modeling of Nitrogen-Limited Batch Fermentation by Yeast Species. Mathematics. 13(9). 1373–1373.

Balsa‐Canto, Eva, et al.. (2025). Toward Less Energy‐Consuming Alcoholic Fermentations in Oenology: A Laboratory‐Scale Case Study. Food Frontiers. 6(6). 2931–2941. 1 indexed citations

Balsa‐Canto, Eva, et al.. (2025). Quantifying and managing uncertainty in systems biology: Mechanistic and data-driven models. Current Opinion in Systems Biology. 42. 100557–100557.

Paredes, Ángel, Eva Balsa‐Canto, & Julio R. Banga. (2024). Mathematical Modeling of Microbial Community Dynamics. 245–252.

Henriques, David, et al.. (2023). A Dynamic Genome-Scale Model Identifies Metabolic Pathways Associated with Cold Tolerance in Saccharomyces kudriavzevii. Microbiology Spectrum. 11(3). e0351922–e0351922. 3 indexed citations

Pérez-Rodrı́guez, Martı́n, Marta López Cabo, Eva Balsa‐Canto, & Míriam R. García. (2023). Mechanisms of Listeria monocytogenes Disinfection with Benzalkonium Chloride: From Molecular Dynamics to Kinetics of Time-Kill Curves. International Journal of Molecular Sciences. 24(15). 12132–12132. 6 indexed citations

Henriques, David & Eva Balsa‐Canto. (2021). The Monod Model Is Insufficient To Explain Biomass Growth in Nitrogen-Limited Yeast Fermentation. Applied and Environmental Microbiology. 87(20). e0108421–e0108421. 13 indexed citations

Le, T.T. Yen, Milen Nachev, Daniel Grabner, et al.. (2021). Modelling chronic toxicokinetics and toxicodynamics of copper in mussels considering ionoregulatory homeostasis and oxidative stress. Environmental Pollution. 287. 117645–117645. 9 indexed citations

Balsa‐Canto, Eva, Lucia Bandiera, & Filippo Menolascina. (2021). Optimal Experimental Design for Systems and Synthetic Biology Using AMIGO2. Methods in molecular biology. 2229. 221–239. 5 indexed citations

10.

Le, T.T. Yen, Míriam R. García, Daniel Grabner, et al.. (2019). Mechanistic simulation of bioconcentration kinetics of waterborne Cd, Ag, Pd, and Pt in the zebra mussel Dreissena polymorpha. Chemosphere. 242. 124967–124967. 5 indexed citations

11.

Balsa‐Canto, Eva, et al.. (2017). Modeling Reveals the Role of Aging and Glucose Uptake Impairment in L1A1 Listeria monocytogenes Biofilm Life Cycle. Frontiers in Microbiology. 8. 2118–2118. 4 indexed citations

12.

Sanchez-Vizuete, Pilar, et al.. (2016). Quantitative image analysis to characterize the dynamics of Listeria monocytogenes biofilms. International Journal of Food Microbiology. 236. 130–137. 18 indexed citations

13.

Villaverde, Alejandro F., et al.. (2016). On the relationship between sloppiness and identifiability. Mathematical Biosciences. 282. 147–161. 57 indexed citations

14.

Villaverde, Alejandro F., Klaus Mauch, Dirk Müller, et al.. (2015). A consensus approach for estimating the predictive accuracy of dynamic models in biology. Computer Methods and Programs in Biomedicine. 119(1). 17–28. 22 indexed citations

15.

Klipp, Edda, et al.. (2014). Global dynamic optimization approach to predict activation in metabolic pathways. BMC Systems Biology. 8(1). 1–1. 59 indexed citations

16.

Balsa‐Canto, Eva, et al.. (2011). Global Optimization in Systems Biology: Stochastic Methods and Their Applications. Advances in experimental medicine and biology. 736. 409–424. 23 indexed citations

17.

Vera, Julio, Oliver Rath, Eva Balsa‐Canto, et al.. (2010). Investigating dynamics of inhibitory and feedback loops in ERK signalling using power-law models. Molecular BioSystems. 6(11). 2174–2191. 18 indexed citations

18.

Franco‐Uría, Amaya, Irene Otero‐Muras, Eva Balsa‐Canto, Antonio A. Alonso, & Enrique Roca. (2010). Generic parameterization for a pharmacokinetic model to predict Cd concentrations in several tissues of different fish species. Chemosphere. 79(4). 377–386. 20 indexed citations

19.

Fikar, Miroslav, et al.. (2008). Application of a control vector parameterization method using an interior point algorithm. International Conference on Modelling, Identification and Control. 122–127. 3 indexed citations

20.

Vera, Julio, Eva Balsa‐Canto, P.E. Wellstead, Julio R. Banga, & Olaf Wolkenhauer. (2007). Power-law models of signal transduction pathways. Cellular Signalling. 19(7). 1531–1541. 60 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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