Samuel Bottani

1.6k total citations
22 papers, 1.0k citations indexed

About

Samuel Bottani is a scholar working on Molecular Biology, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Samuel Bottani has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cognitive Neuroscience and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Samuel Bottani's work include Neural dynamics and brain function (7 papers), Gene Regulatory Network Analysis (7 papers) and stochastic dynamics and bifurcation (5 papers). Samuel Bottani is often cited by papers focused on Neural dynamics and brain function (7 papers), Gene Regulatory Network Analysis (7 papers) and stochastic dynamics and bifurcation (5 papers). Samuel Bottani collaborates with scholars based in France, United States and Singapore. Samuel Bottani's co-authors include Reiner A. Veitia, James A. Birchler, Pascal Hersen, Agnès Miermont, Massimo Vergassola, Aurélien Mazurie, Shiqiong Hu, Megan N. McClean, Jannis Uhlendorf and François Waharte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Trends in Plant Science.

In The Last Decade

Samuel Bottani

21 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Bottani France 13 720 291 231 120 98 22 1.0k
Heng Xu United States 18 790 1.1× 202 0.7× 190 0.8× 73 0.6× 148 1.5× 39 1.1k
Qiong Yang United States 13 804 1.1× 172 0.6× 84 0.4× 68 0.6× 126 1.3× 36 1.1k
Javier Macía Spain 16 776 1.1× 96 0.3× 143 0.6× 177 1.5× 114 1.2× 32 945
Nan Hao United States 19 1.3k 1.8× 152 0.5× 134 0.6× 186 1.6× 68 0.7× 51 1.6k
Scott Cookson United States 7 937 1.3× 115 0.4× 225 1.0× 283 2.4× 65 0.7× 7 1.2k
Octavio Mondragón-Palomino United States 8 894 1.2× 115 0.4× 242 1.0× 404 3.4× 73 0.7× 12 1.2k
Peter A. Thomason United Kingdom 19 919 1.3× 159 0.5× 170 0.7× 198 1.6× 80 0.8× 41 1.5k
Thomas G.W. Graham United States 18 908 1.3× 78 0.3× 245 1.1× 61 0.5× 146 1.5× 27 1.2k
Nacho Molina Switzerland 18 1.4k 1.9× 165 0.6× 297 1.3× 31 0.3× 61 0.6× 30 1.8k

Countries citing papers authored by Samuel Bottani

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Bottani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Bottani

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Bottani. A scholar is included among the top collaborators of Samuel Bottani 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 Samuel Bottani. Samuel Bottani 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.
Tornero, Daniel, et al.. (2022). Rich dynamics and functional organization on topographically designed neuronal networks in vitro. iScience. 25(12). 105680–105680. 20 indexed citations
2.
Métens, Stéphane, et al.. (2021). A novel methodology to describe neuronal networks activity reveals spatiotemporal recruitment dynamics of synchronous bursting states. Journal of Computational Neuroscience. 49(4). 375–394. 3 indexed citations
3.
Bottani, Samuel, Nicolae Radu Zabet, Jonathan F. Wendel, & Reiner A. Veitia. (2018). Gene Expression Dominance in Allopolyploids: Hypotheses and Models. Trends in Plant Science. 23(5). 393–402. 75 indexed citations
4.
Bottani, Samuel, et al.. (2018). Understanding the Generation of Network Bursts by Adaptive Oscillatory Neurons. Frontiers in Neuroscience. 12. 41–41. 25 indexed citations
5.
Métens, Stéphane, et al.. (2016). Finite-size effects and dynamics of giant transition of a continuum quorum percolation model on random networks. Physical review. E. 93(3). 32112–32112. 2 indexed citations
6.
Veitia, Reiner A., Diddahally R. Govindaraju, Samuel Bottani, & James A. Birchler. (2016). Aging: Somatic Mutations, Epigenetic Drift and Gene Dosage Imbalance. Trends in Cell Biology. 27(4). 299–310. 25 indexed citations
7.
Monceau, Pascal, et al.. (2016). Effect of threshold disorder on the quorum percolation model. Physical review. E. 94(1). 12316–12316.
8.
Veitia, Reiner A., Frédéric Veyrunes, Samuel Bottani, & James A. Birchler. (2015). X chromosome inactivation and active X upregulation in therian mammals: facts, questions, and hypotheses. Journal of Molecular Cell Biology. 7(1). 2–11. 38 indexed citations
9.
Descroix, Stéphanie, Laurent Malaquin, Jean‐Louis Viovy, et al.. (2015). Combining Microfluidics, Optogenetics and Calcium Imaging to Study Neuronal Communication In Vitro. PLoS ONE. 10(4). e0120680–e0120680. 59 indexed citations
10.
Uhlendorf, Jannis, Agnès Miermont, Thierry Delaveau, et al.. (2014). In Silico Control of Biomolecular Processes. Methods in molecular biology. 1244. 277–285. 1 indexed citations
11.
Monceau, Pascal, et al.. (2014). Effective non-universality of the quorum percolation model on directed graphs with Gaussian in-degree. Physica A Statistical Mechanics and its Applications. 414. 352–359. 2 indexed citations
12.
Veitia, Reiner A., Samuel Bottani, & James A. Birchler. (2013). Gene dosage effects: nonlinearities, genetic interactions, and dosage compensation. Trends in Genetics. 29(7). 385–393. 101 indexed citations
13.
Monceau, Pascal, et al.. (2013). Memory decay and loss of criticality in quorum percolation. Physical Review E. 88(6). 62134–62134. 3 indexed citations
14.
Miermont, Agnès, François Waharte, Shiqiong Hu, et al.. (2013). Severe osmotic compression triggers a slowdown of intracellular signaling, which can be explained by molecular crowding. Proceedings of the National Academy of Sciences. 110(14). 5725–5730. 152 indexed citations
15.
Uhlendorf, Jannis, Agnès Miermont, Thierry Delaveau, et al.. (2012). Long-term model predictive control of gene expression at the population and single-cell levels. Proceedings of the National Academy of Sciences. 109(35). 14271–14276. 158 indexed citations
16.
Uhlendorf, Jannis, Samuel Bottani, François Fages, Pascal Hersen, & Grégory Batt. (2010). TOWARDS REAL-TIME CONTROL OF GENE EXPRESSION: CONTROLLING THE HOG SIGNALING CASCADE. WORLD SCIENTIFIC eBooks. 338–349. 10 indexed citations
17.
Veitia, Reiner A. & Samuel Bottani. (2009). Whole Genome Duplications and a ‘Function’ for Junk DNA? Facts and Hypotheses. PLoS ONE. 4(12). e8201–e8201. 9 indexed citations
18.
Veitia, Reiner A., Samuel Bottani, & James A. Birchler. (2008). Cellular reactions to gene dosage imbalance: genomic, transcriptomic and proteomic effects. Trends in Genetics. 24(8). 390–397. 220 indexed citations
19.
Bottani, Samuel, et al.. (2007). Analysis of a minimal model for p53 oscillations. Journal of Theoretical Biology. 249(2). 235–245. 20 indexed citations
20.
Mazurie, Aurélien, Samuel Bottani, & Massimo Vergassola. (2005). An evolutionary and functional assessment of regulatory network motifs. Genome biology. 6(4). R35–R35. 81 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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