Isabel Rocha

5.5k total citations · 1 hit paper
147 papers, 3.3k citations indexed

About

Isabel Rocha is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Isabel Rocha has authored 147 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Molecular Biology, 58 papers in Biomedical Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Isabel Rocha's work include Microbial Metabolic Engineering and Bioproduction (109 papers), Biofuel production and bioconversion (55 papers) and Viral Infectious Diseases and Gene Expression in Insects (34 papers). Isabel Rocha is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (109 papers), Biofuel production and bioconversion (55 papers) and Viral Infectious Diseases and Gene Expression in Insects (34 papers). Isabel Rocha collaborates with scholars based in Portugal, United States and Germany. Isabel Rocha's co-authors include Eugénio C. Ferreira, Miguel Rocha, Kiran Raosaheb Patil, Jens Nielsen, Daniel Machado, Jochen Förster, Paulo Maia, Sónia Carneiro, Rafael S. Costa and Óscar Dias and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Isabel Rocha

143 papers receiving 3.2k citations

Hit Papers

Ecological modelling approaches for predicting emergent p... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Rocha Portugal 32 2.6k 1.2k 254 224 218 147 3.3k
Ralf Takors Germany 37 4.0k 1.5× 1.6k 1.3× 196 0.8× 431 1.9× 203 0.9× 181 4.9k
Dong‐Yup Lee Singapore 38 4.1k 1.6× 1.2k 1.0× 209 0.8× 418 1.9× 222 1.0× 201 5.3k
Stephan Noack Germany 30 2.4k 0.9× 1.2k 0.9× 94 0.4× 282 1.3× 140 0.6× 115 3.0k
Taizo Hanai Japan 29 3.5k 1.3× 2.0k 1.6× 168 0.7× 270 1.2× 143 0.7× 100 4.5k
Toshiomi Yoshida Japan 31 2.1k 0.8× 943 0.8× 294 1.2× 166 0.7× 532 2.4× 120 3.3k
Jonathan M. Monk United States 31 3.6k 1.4× 1.0k 0.8× 80 0.3× 481 2.1× 83 0.4× 97 4.3k
Christopher S. Henry United States 34 5.0k 1.9× 1.7k 1.3× 242 1.0× 449 2.0× 106 0.5× 88 6.0k
Markus J. Herrgård Denmark 41 6.5k 2.5× 2.3k 1.8× 226 0.9× 899 4.0× 249 1.1× 84 7.3k
Kazuyuki Shimizu Japan 45 4.7k 1.8× 1.4k 1.1× 344 1.4× 1.1k 4.7× 318 1.5× 176 5.9k
Christophe H. Schilling United States 21 4.8k 1.8× 1.7k 1.4× 271 1.1× 378 1.7× 51 0.2× 23 5.1k

Countries citing papers authored by Isabel Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Rocha. A scholar is included among the top collaborators of Isabel Rocha 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 Isabel Rocha. Isabel Rocha 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.
Sveshnikova, Anastasia, Vassily Hatzimanikatis, Paulo Vilaça, et al.. (2024). Computer-aided design and implementation of efficient biosynthetic pathways to produce high added-value products derived from tyrosine in Escherichia coli. Frontiers in Bioengineering and Biotechnology. 12. 1360740–1360740. 3 indexed citations
2.
Chaves, Inês, et al.. (2023). The first multi-tissue genome-scale metabolic model of a woody plant highlights suberin biosynthesis pathways in Quercus suber. PLoS Computational Biology. 19(9). e1011499–e1011499. 10 indexed citations
3.
4.
Machado, Daniel, Isabel Rocha, Jeremy M. Chacón, et al.. (2022). Ecological modelling approaches for predicting emergent properties in microbial communities. Nature Ecology & Evolution. 6(7). 855–865. 135 indexed citations breakdown →
5.
Hanscho, Michael, et al.. (2021). Inclusion of maintenance energy improves the intracellular flux predictions of CHO. PLoS Computational Biology. 17(6). e1009022–e1009022. 7 indexed citations
6.
Pereira, Rui, Paulo Vilaça, Paulo Maia, Jens Nielsen, & Isabel Rocha. (2019). Turnover Dependent Phenotypic Simulation: A Quantitative Constraint-Based Simulation Method That Accommodates All Main Strain Design Strategies. ACS Synthetic Biology. 8(5). 976–988. 1 indexed citations
7.
Fernandes, Bruna Soares, Óscar Dias, Gisela Lara da Costa, et al.. (2019). Genome-wide sequencing and metabolic annotation of Pythium irregulare CBS 494.86: understanding Eicosapentaenoic acid production. BMC Biotechnology. 19(1). 9 indexed citations
8.
Pereira, Bruno, et al.. (2018). Reconstruction of a genome-scale metabolic model for Actinobacillus succinogenes 130Z. BMC Systems Biology. 12(1). 61–61. 24 indexed citations
9.
Borges, Nuno, et al.. (2018). Production of mannosylglycerate in Saccharomyces cerevisiae by metabolic engineering and bioprocess optimization. Microbial Cell Factories. 17(1). 178–178. 9 indexed citations
10.
Faria, José P., James J. Davis, Janaka N. Edirisinghe, et al.. (2016). Computing and Applying Atomic Regulons to Understand Gene Expression and Regulation. Frontiers in Microbiology. 7. 1819–1819. 5 indexed citations
11.
Faria, José P., Ross Overbeek, Ronald C. Taylor, et al.. (2016). Reconstruction of the Regulatory Network for Bacillus subtilis and Reconciliation with Gene Expression Data. Frontiers in Microbiology. 7. 275–275. 12 indexed citations
12.
Dias, Óscar, Rui Pereira, Andreas Gombert, Eugénio C. Ferreira, & Isabel Rocha. (2014). iOD907, the first genome‐scale metabolic model for the milk yeast Kluyveromyces lactis. Biotechnology Journal. 9(6). 776–790. 39 indexed citations
13.
Gonçalves, Emanuel, Rui Pereira, Isabel Rocha, & Miguel Rocha. (2012). Optimization Approaches for the In Silico Discovery of Optimal Targets for Gene Over/Underexpression. Journal of Computational Biology. 19(2). 102–114. 9 indexed citations
14.
Machado, Daniel, Rafael S. Costa, Miguel Rocha, et al.. (2011). Modeling formalisms in Systems Biology. AMB Express. 1(1). 45–45. 122 indexed citations
15.
Carneiro, Sónia, Silas G. Villas‐Bôas, Eugénio C. Ferreira, & Isabel Rocha. (2010). Metabolic footprint analysis of recombinant Escherichia coli strains during fed-batch fermentations. Molecular BioSystems. 7(3). 899–910. 30 indexed citations
16.
Rocha, Isabel, Paulo Maia, Pedro Evangelista, et al.. (2010). OptFlux: an open-source software platform for in silico metabolic engineering. BMC Systems Biology. 4(1). 45–45. 260 indexed citations
17.
Carneiro, Sónia, A. L. Amaral, Ana C. A. Veloso, et al.. (2009). Assessment of physiological conditions in E. coli fermentations by epifluorescent microscopy and image analysis. Biotechnology Progress. 25(3). 882–891. 8 indexed citations
18.
Nobre, Clarisse, Maria João Santos, Duarte Torres, et al.. (2009). Comparison of adsorption equilibrium of fructose, glucose and sucrose on potassium gel-type and macroporous sodium ion-exchange resins. Analytica Chimica Acta. 654(1). 71–76. 55 indexed citations
19.
Lourenço, Anália, et al.. (2008). A tool for the automatic and manual annotation of biomedical documents. RepositóriUM (Universidade do Minho). 85–92. 1 indexed citations
20.
Rocha, Miguel, Rui Mendes, Paulo Maia, et al.. (2007). Evaluating simulated annealing algorithms in the optimization of bacterial strains. 4874. 473–484. 2 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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