André S. Ribeiro

2.3k total citations
110 papers, 1.5k citations indexed

About

André S. Ribeiro is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, André S. Ribeiro has authored 110 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 69 papers in Genetics and 10 papers in Biophysics. Recurrent topics in André S. Ribeiro's work include Gene Regulatory Network Analysis (77 papers), Bacterial Genetics and Biotechnology (56 papers) and Evolution and Genetic Dynamics (29 papers). André S. Ribeiro is often cited by papers focused on Gene Regulatory Network Analysis (77 papers), Bacterial Genetics and Biotechnology (56 papers) and Evolution and Genetic Dynamics (29 papers). André S. Ribeiro collaborates with scholars based in Finland, United States and Portugal. André S. Ribeiro's co-authors include Jason Lloyd‐Price, Olli Yli‐Harja, Stuart Kauffman, Antti Häkkinen, Meenakshisundaram Kandhavelu, Rui Zhu, Jarno Mäkelä, Abhishekh Gupta, Samuel M. D. Oliveira and Huy Tran and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and Bioinformatics.

In The Last Decade

André S. Ribeiro

108 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André S. Ribeiro Finland 22 1.3k 768 116 84 81 110 1.5k
Juan Manuel Pedraza United States 10 1.3k 1.0× 544 0.7× 166 1.4× 108 1.3× 152 1.9× 23 1.5k
Han N. Lim United States 19 1.6k 1.2× 810 1.1× 80 0.7× 85 1.0× 90 1.1× 25 2.0k
Jonathan M. Raser United States 7 2.3k 1.7× 671 0.9× 246 2.1× 134 1.6× 158 2.0× 10 2.7k
Iren Kurtser United States 9 1.5k 1.1× 848 1.1× 149 1.3× 107 1.3× 103 1.3× 9 1.7k
William Mather United States 16 1.3k 1.0× 371 0.5× 145 1.3× 118 1.4× 274 3.4× 23 1.6k
Jonathan W. Young United States 7 1.2k 0.9× 488 0.6× 278 2.4× 52 0.6× 199 2.5× 13 1.5k
David R. McMillen Canada 18 2.0k 1.5× 542 0.7× 176 1.5× 244 2.9× 243 3.0× 40 2.3k
Attila Becskei Switzerland 19 2.8k 2.1× 852 1.1× 254 2.2× 260 3.1× 178 2.2× 42 3.1k
Vahid Shahrezaei United Kingdom 24 1.9k 1.4× 538 0.7× 184 1.6× 117 1.4× 137 1.7× 56 2.3k
Nacho Molina Switzerland 18 1.4k 1.0× 297 0.4× 126 1.1× 39 0.5× 31 0.4× 30 1.8k

Countries citing papers authored by André S. Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by André S. Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André S. Ribeiro. 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 André S. Ribeiro. The network helps show where André S. Ribeiro may publish in the future.

Co-authorship network of co-authors of André S. Ribeiro

This figure shows the co-authorship network connecting the top 25 collaborators of André S. Ribeiro. A scholar is included among the top collaborators of André S. Ribeiro 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 André S. Ribeiro. André S. Ribeiro 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.
Mäkelä, Jarno, et al.. (2025). Dynamics of bacterial operons during genome-wide stresses is influenced by premature terminations and internal promoters. Science Advances. 11(20). eadl3570–eadl3570. 1 indexed citations
2.
Ribeiro, André S., et al.. (2022). Alteration of DNA supercoiling serves as a trigger of short-term cold shock repressed genes of E. coli. Nucleic Acids Research. 50(15). 8512–8528. 12 indexed citations
3.
Häkkinen, Antti, et al.. (2019). Transcription closed and open complex formation coordinate expression of genes with a shared promoter region. Journal of The Royal Society Interface. 16(161). 20190507–20190507. 3 indexed citations
4.
Tripathi, Shailesh, Jason Lloyd‐Price, André S. Ribeiro, et al.. (2017). sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters. BMC Bioinformatics. 18(1). 325–325. 5 indexed citations
5.
Mäkelä, Jarno, et al.. (2017). Rate-limiting steps in transcription dictate sensitivity to variability in cellular components. Scientific Reports. 7(1). 10588–10588. 11 indexed citations
6.
Kislin, Mikhail, Jeremy Sword, Deborah Croom, et al.. (2016). Reversible Disruption of Neuronal Mitochondria by Ischemic and Traumatic Injury Revealed by Quantitative Two-Photon Imaging in the Neocortex of Anesthetized Mice. Journal of Neuroscience. 37(2). 333–348. 50 indexed citations
7.
Tran, Huy, et al.. (2015). Kinetics of the cellular intake of a gene expression inducer at high concentrations. Molecular BioSystems. 11(9). 2579–2587. 13 indexed citations
8.
Oliveira, Samuel M. D., et al.. (2015). Single-cell kinetics of a repressilator when implemented in a single-copy plasmid. Molecular BioSystems. 11(7). 1939–1945. 2 indexed citations
9.
Gupta, Abhishekh, et al.. (2014). In Vivo Kinetics of Segregation and Polar Retention of MS2-GFP-RNA Complexes in Escherichia coli. Biophysical Journal. 106(9). 1928–1937. 25 indexed citations
10.
Oliveira, Samuel M. D., et al.. (2013). Effects of temperature on the dynamics of the LacI-TetR-CI repressilator. Molecular BioSystems. 9(12). 3117–3123. 9 indexed citations
11.
Lloyd‐Price, Jason, Abhishekh Gupta, & André S. Ribeiro. (2012). Robustness and Information Propagation in Attractors of Random Boolean Networks. PLoS ONE. 7(7). e42018–e42018. 11 indexed citations
12.
Lloyd‐Price, Jason, et al.. (2011). Probabilistic RNA partitioning generates transient increases in the normalized variance of RNA numbers in synchronized populations of Escherichia coli. Molecular BioSystems. 8(2). 565–571. 16 indexed citations
13.
Ribeiro, André S., et al.. (2010). Effects of the promoter open complex formation on gene expression dynamics. Physical Review E. 81(1). 11912–11912. 18 indexed citations
14.
Lloyd‐Price, Jason, Olli‐Pekka Smolander, Timothy R. Hughes, et al.. (2010). Information propagation within the Genetic Network of Saccharomyces cerevisiae. BMC Systems Biology. 4(1). 143–143. 10 indexed citations
15.
Ribeiro, André S., Olli‐Pekka Smolander, Tiina Rajala, Antti Häkkinen, & Olli Yli‐Harja. (2009). Delayed Stochastic Model of Transcription at the Single Nucleotide Level. Journal of Computational Biology. 16(4). 539–553. 31 indexed citations
16.
Ribeiro, André S., et al.. (2009). Variability of the distribution of differentiation pathway choices regulated by a multipotent delayed stochastic switch. Journal of Theoretical Biology. 260(1). 66–76. 7 indexed citations
17.
Charlebois, Daniel A., André S. Ribeiro, Antti Lehmussola, et al.. (2007). Effects of microarray noise on inference efficiency of a stochastic model of gene networks. 4(2). 15–21. 2 indexed citations
18.
19.
Ribeiro, André S., et al.. (2006). Measuring information propagation and retention in boolean networks and its implications to a model of human organizations. 391–398. 2 indexed citations
20.
Ribeiro, André S. & Pedro G. Lind. (2005). Effects of Lattice Structure in the Dynamics of Coupled Elements. Physica Scripta. 2005(T118). 165–167. 3 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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