Grégory Batt

2.4k total citations
38 papers, 1.2k citations indexed

About

Grégory Batt is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Grégory Batt has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Biophysics. Recurrent topics in Grégory Batt's work include Gene Regulatory Network Analysis (27 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Single-cell and spatial transcriptomics (8 papers). Grégory Batt is often cited by papers focused on Gene Regulatory Network Analysis (27 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Single-cell and spatial transcriptomics (8 papers). Grégory Batt collaborates with scholars based in France, United States and Italy. Grégory Batt's co-authors include Pascal Hersen, Ron Weiss, François Fages, Călin Belta, François Bertaux, Hidde de Jong, Jakob Ruess, Boyan Yordanov, Johannes Geiselmann and Jannis Uhlendorf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Grégory Batt

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grégory Batt France 18 891 188 162 146 113 38 1.2k
Jonathan R. Karr United States 14 1.4k 1.5× 228 1.2× 207 1.3× 111 0.8× 68 0.6× 33 1.6k
Joerg Stelling Switzerland 16 915 1.0× 106 0.6× 171 1.1× 93 0.6× 62 0.5× 28 1.1k
Derek N. Macklin United States 7 1.1k 1.3× 173 0.9× 188 1.2× 322 2.2× 46 0.4× 8 1.5k
Ankit Gupta Switzerland 14 611 0.7× 151 0.8× 85 0.5× 69 0.5× 45 0.4× 34 998
Jayodita C. Sanghvi United States 5 905 1.0× 188 1.0× 123 0.8× 80 0.5× 46 0.4× 8 1.1k
Benjamin Bolival United States 8 1.1k 1.2× 292 1.6× 112 0.7× 64 0.4× 42 0.4× 8 1.3k
Michał Komorowski Poland 15 538 0.6× 126 0.7× 39 0.2× 67 0.5× 65 0.6× 25 762
Nicolás Rodríguez United Kingdom 14 918 1.0× 52 0.3× 90 0.6× 53 0.4× 82 0.7× 29 1.1k
Diego A. Oyarzún United Kingdom 20 1.2k 1.4× 284 1.5× 217 1.3× 47 0.3× 71 0.6× 66 1.7k
Andrew Finney United States 12 1.1k 1.2× 58 0.3× 122 0.8× 79 0.5× 101 0.9× 18 1.3k

Countries citing papers authored by Grégory Batt

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Batt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégory Batt

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Batt. A scholar is included among the top collaborators of Grégory Batt 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 Grégory Batt. Grégory Batt 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.
2.
Napolitano, Sara, et al.. (2023). Maximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches. Nature Communications. 14(1). 3028–3028. 12 indexed citations
3.
Fox, Zachary, Grégory Batt, & Jakob Ruess. (2023). Bayesian filtering for model predictive control of stochastic gene expression in single cells. Physical Biology. 20(5). 55003–55003. 2 indexed citations
4.
Fox, Zachary, et al.. (2022). Enabling reactive microscopy with MicroMator. Nature Communications. 13(1). 2199–2199. 22 indexed citations
5.
Bertaux, François, et al.. (2022). Using single-cell models to predict the functionality of synthetic circuits at the population scale. Proceedings of the National Academy of Sciences. 119(11). e2114438119–e2114438119. 10 indexed citations
6.
Bertaux, François, et al.. (2022). Enhancing bioreactor arrays for automated measurements and reactive control with ReacSight. Nature Communications. 13(1). 3363–3363. 36 indexed citations
7.
Chait, Remy, et al.. (2022). Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level. PLoS Computational Biology. 18(3). e1009950–e1009950. 5 indexed citations
8.
Bertaux, François, et al.. (2021). A light tunable differentiation system for the creation and control of consortia in yeast. Nature Communications. 12(1). 5829–5829. 36 indexed citations
9.
Bertaux, François, Jakob Ruess, & Grégory Batt. (2021). External control of microbial populations for bioproduction: A modeling and optimization viewpoint. Current Opinion in Systems Biology. 28. 100394–100394. 8 indexed citations
10.
Batt, Grégory, et al.. (2021). Beyond the chemical master equation: Stochastic chemical kinetics coupled with auxiliary processes. PLoS Computational Biology. 17(7). e1009214–e1009214. 9 indexed citations
11.
Batt, Grégory, et al.. (2020). To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing. Epidemics. 34. 100428–100428. 17 indexed citations
12.
Lugagne, Jean‐Baptiste, et al.. (2018). Identification of individual cells from z-stacks of bright-field microscopy images. Scientific Reports. 8(1). 11455–11455. 17 indexed citations
13.
Meredith, Hannah R., Virgile Andreani, Helena Riuró, et al.. (2018). Applying ecological resistance and resilience to dissect bacterial antibiotic responses. Science Advances. 4(12). eaau1873–eaau1873. 39 indexed citations
14.
Versari, Cristian, et al.. (2017). Long-term tracking of budding yeast cells in brightfield microscopy: CellStar and the Evaluation Platform. Journal of The Royal Society Interface. 14(127). 20160705–20160705. 41 indexed citations
15.
Lugagne, Jean‐Baptiste, et al.. (2017). Balancing a genetic toggle switch by real-time feedback control and periodic forcing. Nature Communications. 8(1). 1671–1671. 124 indexed citations
16.
Versari, Cristian, et al.. (2016). What Population Reveals about Individual Cell Identity: Single-Cell Parameter Estimation of Models of Gene Expression in Yeast. PLoS Computational Biology. 12(2). e1004706–e1004706. 55 indexed citations
17.
Bertaux, François, Szymon Stoma, Dirk Drasdo, & Grégory Batt. (2014). Modeling Dynamics of Cell-to-Cell Variability in TRAIL-Induced Apoptosis Explains Fractional Killing and Predicts Reversible Resistance. PLoS Computational Biology. 10(10). e1003893–e1003893. 46 indexed citations
18.
Uhlendorf, Jannis, Pascal Hersen, & Grégory Batt. (2011). Towards Real-Time Control of Gene Expression: in silico Analysis*. IFAC Proceedings Volumes. 44(1). 14844–14850. 2 indexed citations
19.
Rizk, Aurélien, Grégory Batt, François Fages, & Sylvain Soliman. (2010). Continuous valuations of temporal logic specifications with applications to parameter optimization and robustness measures. Theoretical Computer Science. 412(26). 2827–2839. 25 indexed citations
20.
Jong, Hidde de, Johannes Geiselmann, Grégory Batt, Céline Hernandez, & Melissa M. Page. (2003). Qualitative simulation of the initiation of sporulation in. Bulletin of Mathematical Biology. 66(2). 261–299. 66 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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