Grégory Batt

2.5k citations
52 papers · 1.7k · h-index 24

Impact in

Papers in

    • Gene Regulatory Network Analysis 39
    • Microbial Metabolic Engineering and Bioproduction 14
    • Single-cell and spatial transcriptomics 8
    • Viral Infectious Diseases and Gene Expression in Insects 7
    • Evolution and Genetic Dynamics 8
    • Bacterial Genetics and Biotechnology 6

Grégory Batt

50 papers receiving 1.6k citations

Peers

Grégory Batt
Comparison fields: 5 of 117
  • Biophysics 148
  • Computational Theory and Mathematics 369
  • Software 92
  • Molecular Biology 1.2k
  • Modeling and Simulation 57
Replace Michael Hucka with:
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Sylvain Soliman France
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Grégory Batt relative to Michael Hucka United States Michael Hucka's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Grégory Batt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Grégory Batt Line = papers co-authored together Grégory Batt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012166
2 2017125
3 2014116
4 2007102
5 200984
6 200381
7 200874
8 201164
9 201658
10 201451
11 200851
12 200746
13 201044
14 201042
15 201742
16 201840
17 202139
18 200739
19 200838
20 200537

About Grégory Batt

Grégory Batt is a scholar working on Molecular Biology, Genetics, Biophysics, Computational Theory and Mathematics and Management Science and Operations Research, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (39 papers), Microbial Metabolic Engineering and Bioproduction (14 papers), Single-cell and spatial transcriptomics (8 papers), Evolution and Genetic Dynamics (8 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Cell Image Analysis Techniques (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). The work is most often cited by research in Biophysics (148 citations), Computational Theory and Mathematics (369 citations), Software (92 citations), Molecular Biology (1.2k citations) and Modeling and Simulation (57 citations). Grégory Batt has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Ron Weiss, François Fages, Călin Belta, Pascal Hersen, Aurélien Rizk, Sylvain Soliman, Hidde de Jong, François Bertaux, Johannes Geiselmann and Boyan Yordanov. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Nature Communications, ACS Synthetic Biology and Scientific Reports.

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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