Paulo Maia

1.5k total citations
24 papers, 605 citations indexed

About

Paulo Maia is a scholar working on Molecular Biology, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Paulo Maia has authored 24 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Biomedical Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Paulo Maia's work include Microbial Metabolic Engineering and Bioproduction (18 papers), Biofuel production and bioconversion (14 papers) and Gene Regulatory Network Analysis (6 papers). Paulo Maia is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (18 papers), Biofuel production and bioconversion (14 papers) and Gene Regulatory Network Analysis (6 papers). Paulo Maia collaborates with scholars based in Portugal, Spain and Denmark. Paulo Maia's co-authors include Miguel Rocha, Isabel Rocha, Eugénio C. Ferreira, Kiran Raosaheb Patil, Jens Nielsen, José P. Pinto, Pedro Evangelista, Paulo Vilaça, Simão Soares and Rui Mendes and has published in prestigious journals such as Microbiology and Molecular Biology Reviews, Frontiers in Microbiology and BMC Bioinformatics.

In The Last Decade

Paulo Maia

24 papers receiving 585 citations

Peers

Paulo Maia

CSE

RESE

José P. Pinto Portugal

Tolutola Oyetunde United States

Axel von Kamp Germany

Joonhoon Kim United States

Supreeta Vijayakumar United Kingdom

Duygu Dikicioǧlu United Kingdom

Patrick Wechselberger Austria

Marco Terzer Switzerland

Patrick Sagmeister Austria

Madhukar S. Dasika United States

José P. Pinto Portugal

Paulo Maia

390 ×0.7

192 ×0.6

24 ×0.5

CSE

9 ×0.3

13 ×0.5

RESE

Citations per year, relative to Paulo Maia Paulo Maia (= 1×) peers José P. Pinto

Countries citing papers authored by Paulo Maia

Since Specialization

Citations

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

Fields of papers citing papers by Paulo Maia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulo Maia

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

All Works

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20 of 20 papers shown

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

Pereira, Filipa, Paulo Maia, Britta Meyer, et al.. (2021). Model‐guided development of an evolutionarily stable yeast chassis. Molecular Systems Biology. 17(7). e10253–e10253. 12 indexed citations

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

Maia, Paulo, et al.. (2019). Comparison of pathway analysis and constraint-based methods for cell factory design. BMC Bioinformatics. 20(1). 350–350. 5 indexed citations

Rocha, Miguel, et al.. (2018). A Review of Dynamic Modeling Approaches and Their Application in Computational Strain Optimization for Metabolic Engineering. Frontiers in Microbiology. 9. 1690–1690. 63 indexed citations

Pereira, Filipa, Paulo Maia, Britta Meyer, et al.. (2018). Yeast chassis design for production of dicarboxylic acids. New Biotechnology. 44. S8–S8. 3 indexed citations

Maia, Paulo, et al.. (2017). Development of a Framework for Metabolic Pathway Analysis-Driven Strain Optimization Methods. Interdisciplinary Sciences Computational Life Sciences. 9(1). 46–55. 1 indexed citations

Vilaça, Paulo, et al.. (2017). Analyzing and Designing Cell Factories with OptFlux. Methods in molecular biology. 1716. 37–76. 4 indexed citations

Maia, Paulo, Miguel Rocha, & Isabel Rocha. (2015). In SilicoConstraint-Based Strain Optimization Methods: the Quest for Optimal Cell Factories. Microbiology and Molecular Biology Reviews. 80(1). 45–67. 90 indexed citations

10.

Maia, Paulo, et al.. (2015). In silico modular design of Saccharomyces cerevisiae strains for enhanced production of organic acids. RepositóriUM (Universidade do Minho). 1 indexed citations

11.

Evangelista, Pedro, Paulo Maia, Paulo Vilaça, et al.. (2014). CBFA: phenotype prediction integrating metabolic models with constraints derived from experimental data. BMC Systems Biology. 8(1). 5 indexed citations

12.

Maia, Paulo, Isabel Rocha, & Miguel Rocha. (2013). An integrated framework for strain optimization. 16. 198–205. 3 indexed citations

13.

Maia, Paulo, et al.. (2012). An integrated computational environment for elementary modes analysis of biochemical networks. International Journal of Data Mining and Bioinformatics. 6(4). 382–382. 4 indexed citations

14.

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

15.

Glez‐Peña, Daniel, Miguel Reboiro‐Jato, Paulo Maia, et al.. (2010). AIBench: A rapid application development framework for translational research in biomedicine. Computer Methods and Programs in Biomedicine. 98(2). 191–203. 28 indexed citations

16.

Lourenço, Anália, Sónia Carneiro, Paulo Maia, et al.. (2009). @Note: A workbench for Biomedical Text Mining. Journal of Biomedical Informatics. 42(4). 710–720. 24 indexed citations

17.

Evangelista, Pedro, Paulo Maia, & Miguel Rocha. (2009). Implementing Metaheuristic Optimization Algorithms with JECoLi. RepositóriUM (Universidade do Minho). 9. 505–510. 9 indexed citations

18.

Rocha, Miguel, Paulo Maia, Rui Mendes, et al.. (2008). Natural computation meta-heuristics for the in silico optimization of microbial strains. BMC Bioinformatics. 9(1). 499–499. 65 indexed citations

19.

Lourenço, Anália, Sónia Carneiro, Paulo Maia, et al.. (2008). A framework for the development of Biomedical Text Mining software tools. 1–6. 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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