Johannes A. Roubos

4.1k total citations
36 papers, 1.4k citations indexed

About

Johannes A. Roubos is a scholar working on Molecular Biology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Johannes A. Roubos has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Johannes A. Roubos's work include RNA and protein synthesis mechanisms (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and CRISPR and Genetic Engineering (9 papers). Johannes A. Roubos is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and CRISPR and Genetic Engineering (9 papers). Johannes A. Roubos collaborates with scholars based in Netherlands, Germany and United Kingdom. Johannes A. Roubos's co-authors include Roel A. L. Bovenberg, Thomas E. Gorochowski, Robert Babuška, H.B. Verbruggen, René Verwaal, A.J.B. van Boxtel, Zoya Ignatova, G. van Straten, Ferenc Szeifert and János Abonyi and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Johannes A. Roubos

36 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes A. Roubos Netherlands 21 864 328 246 185 146 36 1.4k
Joachim Schmid Germany 20 733 0.8× 244 0.7× 81 0.3× 217 1.2× 101 0.7× 90 1.9k
Chris J. Myers United States 27 1.3k 1.5× 218 0.7× 34 0.1× 220 1.2× 176 1.2× 179 2.5k
Nigel Hardy United Kingdom 16 964 1.1× 67 0.2× 57 0.2× 119 0.6× 87 0.6× 34 1.4k
Rimvydas Simutis Lithuania 25 1.2k 1.4× 132 0.4× 895 3.6× 290 1.6× 26 0.2× 104 1.9k
Laurence Yang United States 26 1.4k 1.6× 104 0.3× 42 0.2× 436 2.4× 297 2.0× 68 1.9k
Jesús Picó Spain 24 692 0.8× 82 0.3× 787 3.2× 184 1.0× 88 0.6× 97 1.6k
Susan M. Bridges United States 24 980 1.1× 282 0.9× 20 0.1× 113 0.6× 162 1.1× 67 2.0k
S.C. Gupta United States 23 214 0.2× 206 0.6× 185 0.8× 174 0.9× 191 1.3× 128 1.7k
Carmen G. Moles Spain 7 524 0.6× 103 0.3× 238 1.0× 55 0.3× 76 0.5× 10 1.0k
W.R. Cluett Canada 25 586 0.7× 155 0.5× 1.2k 4.8× 266 1.4× 71 0.5× 74 2.0k

Countries citing papers authored by Johannes A. Roubos

Since Specialization
Citations

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

Fields of papers citing papers by Johannes A. Roubos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johannes A. Roubos. 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 Johannes A. Roubos. The network helps show where Johannes A. Roubos may publish in the future.

Co-authorship network of co-authors of Johannes A. Roubos

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes A. Roubos. A scholar is included among the top collaborators of Johannes A. Roubos 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 Johannes A. Roubos. Johannes A. Roubos 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.
Hanko, Erik K. R., Kris Niño G. Valdehuesa, Cunyu Yan, et al.. (2023). Carboxylic acid reductase-dependent biosynthesis of eugenol and related allylphenols. Microbial Cell Factories. 22(1). 238–238. 8 indexed citations
2.
Verwaal, René, Johannes A. Roubos, Rok Gaber, et al.. (2020). Metabolic enzyme clustering by coiled coils improves the biosynthesis of resveratrol and mevalonate. AMB Express. 10(1). 97–97. 13 indexed citations
3.
Gorochowski, Thomas E., et al.. (2019). CRISPR/Cas12a Multiplex Genome Editing of <em>Saccharomyces cerevisiae</em> and the Creation of Yeast Pixel Art. Journal of Visualized Experiments. 1 indexed citations
4.
Costessi, Adalberto, Bartholomeus van den Bogert, Emiel Ver Loren van Themaat, et al.. (2018). Novel sequencing technologies to support industrial biotechnology. FEMS Microbiology Letters. 365(16). 12 indexed citations
5.
Zhou, Hui, et al.. (2015). Algorithmic co-optimization of genetic constructs and growth conditions: application to 6-ACA, a potential nylon-6 precursor. Nucleic Acids Research. 43(21). gkv1071–gkv1071. 50 indexed citations
6.
Gorochowski, Thomas E., Zoya Ignatova, Roel A. L. Bovenberg, & Johannes A. Roubos. (2015). Trade-offs between tRNA abundance and mRNA secondary structure support smoothing of translation elongation rate. Nucleic Acids Research. 43(6). 3022–3032. 89 indexed citations
7.
Reinders, Marcel, et al.. (2014). Protein redesign by learning from data. Protein Engineering Design and Selection. 27(9). 281–288. 7 indexed citations
8.
Reinders, Marcel, et al.. (2014). SPiCE: a web-based tool for sequence-based protein classification and exploration. BMC Bioinformatics. 15(1). 93–93. 23 indexed citations
9.
Gorochowski, Thomas E., Eric van den Berg, Richard Kerkman, Johannes A. Roubos, & Roel A. L. Bovenberg. (2013). Using Synthetic Biological Parts and Microbioreactors to Explore the Protein Expression Characteristics of Escherichia coli. ACS Synthetic Biology. 3(3). 129–139. 31 indexed citations
10.
Gorochowski, Thomas E., et al.. (2013). Translational sensitivity of the Escherichia coli genome to fluctuating tRNA availability. Nucleic Acids Research. 41(17). 8021–8033. 36 indexed citations
11.
Plumridge, Andrew, Petter Melin, Malcolm Stratford, et al.. (2010). The decarboxylation of the weak-acid preservative, sorbic acid, is encoded by linked genes in Aspergillus spp.. Fungal Genetics and Biology. 47(8). 683–692. 34 indexed citations
12.
Roubos, Johannes A., et al.. (2007). Identification of InuR, a new Zn(II)2Cys6 transcriptional activator involved in the regulation of inulinolytic genes in Aspergillus niger. Molecular Genetics and Genomics. 279(1). 11–26. 55 indexed citations
13.
Roubos, Johannes A.. (2003). Learning fuzzy classification rules from labeled data. Information Sciences. 150(1-2). 77–93. 129 indexed citations
14.
Roubos, Johannes A., Preben Krabben, Wim T. A. M. de Laat, Robert Babuška, & Joseph J. Heijnen. (2002). Clavulanic Acid Degradation in Streptomyces clavuligerus Fed‐Batch Cultivations. Biotechnology Progress. 18(3). 451–457. 33 indexed citations
15.
Abonyi, János, Johannes A. Roubos, & Ferenc Szeifert. (2002). Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. International Journal of Approximate Reasoning. 32(1). 1–21. 91 indexed citations
16.
Roubos, Johannes A., Preben Krabben, Ruud Luiten, Robert Babuška, & J. J. Heijnen. (2001). A Semi-Stoichiometric Model for a Streptomyces Fed-Batch Cultivation with Multiple Feeds. IFAC Proceedings Volumes. 34(5). 293–298. 3 indexed citations
17.
Roubos, Johannes A., et al.. (1999). Hybrid Model Development for Fed-Batch Bioprocesses; Combining Physical Equations With the Metabolic Network and Black-Box Kinetics. 9 indexed citations
18.
Roubos, Johannes A., et al.. (1999). Fuzzy model-based predictive control using Takagi–Sugeno models. International Journal of Approximate Reasoning. 22(1-2). 3–30. 101 indexed citations
19.
Babuška, Robert, et al.. (1998). MIMO Predictive Control by Multiple-Step Linearization of Takagi-Sugeno Fuzzy Models. IFAC Proceedings Volumes. 31(29). 197–202. 3 indexed citations
20.
Roubos, Johannes A., C. D. de Gooijer, G. van Straten, & A.J.B. van Boxtel. (1997). Comparison of optimization methods for fed-batch cultures of hybridoma cells. Bioprocess Engineering. 17(2). 99–99. 26 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

Breakdown of academic impact, for papers by Joachim Schmid Breakdown of academic impact, for papers by Chris J. Myers Breakdown of academic impact, for papers by Nigel Hardy Breakdown of academic impact, for papers by Rimvydas Simutis Breakdown of academic impact, for papers by Laurence Yang Breakdown of academic impact, for papers by Jesús Picó Breakdown of academic impact, for papers by Susan M. Bridges Breakdown of academic impact, for papers by S.C. Gupta Breakdown of academic impact, for papers by Carmen G. Moles Breakdown of academic impact, for papers by W.R. Cluett
Rankless by CCL
2026