David Henriques

1.2k total citations
30 papers, 712 citations indexed

About

David Henriques is a scholar working on Molecular Biology, Food Science and Computational Theory and Mathematics. According to data from OpenAlex, David Henriques has authored 30 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Food Science and 5 papers in Computational Theory and Mathematics. Recurrent topics in David Henriques's work include Microbial Metabolic Engineering and Bioproduction (14 papers), Gene Regulatory Network Analysis (10 papers) and Fermentation and Sensory Analysis (8 papers). David Henriques is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (14 papers), Gene Regulatory Network Analysis (10 papers) and Fermentation and Sensory Analysis (8 papers). David Henriques collaborates with scholars based in Spain, Portugal and United Kingdom. David Henriques's co-authors include Julio R. Banga, Eva Balsa‐Canto, Julio Sáez-Rodríguez, Attila Gábor, Alejandro F. Villaverde, Aidan MacNamara, Pedro V. Baptista, Gonçalo Dória, Ricardo Franco and Eulália Pereira and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

David Henriques

28 papers receiving 692 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Henriques Spain 14 445 116 99 80 63 30 712
Hiroshi Matsuno Japan 21 761 1.7× 82 0.7× 120 1.2× 24 0.3× 64 1.0× 98 1.3k
Xueyan Wang China 17 265 0.6× 44 0.4× 12 0.1× 38 0.5× 126 2.0× 79 981
Delphine Ropers France 19 1.1k 2.4× 118 1.0× 87 0.9× 33 0.4× 16 0.3× 43 1.3k
Tania Pencheva Bulgaria 15 256 0.6× 28 0.2× 180 1.8× 32 0.4× 112 1.8× 67 661
Carmen G. Moles Spain 7 524 1.2× 55 0.5× 137 1.4× 77 1.0× 103 1.6× 10 1.0k
Limin Li China 15 472 1.1× 23 0.2× 177 1.8× 26 0.3× 145 2.3× 84 1.0k
Ignacio Ponzoni Argentina 16 260 0.6× 37 0.3× 301 3.0× 29 0.4× 103 1.6× 54 687
Zhong Li China 17 494 1.1× 36 0.3× 81 0.8× 18 0.2× 52 0.8× 67 955
Baoping Liu China 17 161 0.4× 46 0.4× 36 0.4× 15 0.2× 38 0.6× 56 799
Nicolás Rodríguez United Kingdom 14 918 2.1× 90 0.8× 82 0.8× 9 0.1× 47 0.7× 29 1.1k

Countries citing papers authored by David Henriques

Since Specialization
Citations

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

Fields of papers citing papers by David Henriques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Henriques

This figure shows the co-authorship network connecting the top 25 collaborators of David Henriques. A scholar is included among the top collaborators of David Henriques 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 David Henriques. David Henriques 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.
Henriques, David, et al.. (2025). Temperature-Dependent Kinetic Modeling of Nitrogen-Limited Batch Fermentation by Yeast Species. Mathematics. 13(9). 1373–1373.
2.
Henriques, David, et al.. (2025). Context-Aware Biosensor Design Through Biology-Guided Machine Learning and Dynamical Modeling. ACS Synthetic Biology. 14(6). 2094–2104. 1 indexed citations
3.
Henriques, David, et al.. (2025). An integrated multiphase dynamic genome-scale model explains batch fermentations led by species of the Saccharomyces genus. mSystems. 10(2). e0161524–e0161524. 3 indexed citations
4.
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
5.
Henriques, David, et al.. (2023). Modelling the physiological status of yeast during wine fermentation enables the prediction of secondary metabolism. Microbial Biotechnology. 16(4). 847–861. 10 indexed citations
6.
Chaves, Paulo, et al.. (2023). Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning. Remote Sensing. 15(16). 3952–3952. 6 indexed citations
7.
Scott, William T., David Henriques, Eddy J. Smid, Richard A. Notebaart, & Eva Balsa‐Canto. (2023). Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation. Biotechnology and Bioengineering. 120(7). 1998–2012. 11 indexed citations
8.
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
9.
Henriques, David, Sebastián N. Mendoza, Roberto Pérez‐Torrado, et al.. (2021). A Multiphase Multiobjective Dynamic Genome-Scale Model Shows Different Redox Balancing among Yeast Species of the Saccharomyces Genus in Fermentation. mSystems. 6(4). e0026021–e0026021. 33 indexed citations
10.
Henriques, David, et al.. (2020). IT Governance Enablers. Foresight-Russia. 14(1). 48–59. 7 indexed citations
11.
Henriques, David, et al.. (2020). IT governance enablers: a systematic literature review. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 14(1). 48–59.
12.
Henriques, David, Javier Alonso‐del‐Real, Amparo Querol, & Eva Balsa‐Canto. (2018). Saccharomyces cerevisiae and S. kudriavzevii Synthetic Wine Fermentation Performance Dissected by Predictive Modeling. Frontiers in Microbiology. 9. 88–88. 24 indexed citations
13.
Blattmann, Peter, David Henriques, Michael Zimmermann, et al.. (2017). Systems Pharmacology Dissection of Cholesterol Regulation Reveals Determinants of Large Pharmacodynamic Variability between Cell Lines. Cell Systems. 5(6). 604–619.e7. 16 indexed citations
14.
Penas, David R., David Henriques, Patricia González, et al.. (2017). A parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology. PLoS ONE. 12(8). e0182186–e0182186. 11 indexed citations
15.
Henriques, David, Alejandro F. Villaverde, Miguel Rocha, Julio Sáez-Rodríguez, & Julio R. Banga. (2017). Data-driven reverse engineering of signaling pathways using ensembles of dynamic models. PLoS Computational Biology. 13(2). e1005379–e1005379. 36 indexed citations
16.
Villaverde, Alejandro F., David Henriques, Kieran Smallbone, et al.. (2015). BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology. BMC Systems Biology. 9(1). 8–8. 53 indexed citations
17.
Egea, José A., David Henriques, Thomas Cokelaer, et al.. (2014). MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics. BMC Bioinformatics. 15(1). 136–136. 121 indexed citations
18.
MacNamara, Aidan, David Henriques, & Julio Sáez-Rodríguez. (2013). Modeling Signaling Networks with Different Formalisms: A Preview. Methods in molecular biology. 1021. 89–105. 3 indexed citations
19.
MacNamara, Aidan, Camille Terfve, David Henriques, Beatriz Peñalver Bernabé, & Julio Sáez-Rodríguez. (2012). State–time spectrum of signal transduction logic models. Physical Biology. 9(4). 45003–45003. 36 indexed citations
20.
Baptista, Pedro V., Gonçalo Dória, David Henriques, Eulália Pereira, & Ricardo Franco. (2005). Colorimetric detection of eukaryotic gene expression with DNA-derivatized gold nanoparticles. Journal of Biotechnology. 119(2). 111–117. 92 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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