Grégory Batt
- Biophysics top 2%
- Cell Image Analysis Techniques 6
- Advanced Fluorescence Microscopy Techniques 5
- Molecular Biology top 10%
- Gene Regulatory Network Analysis 27
- Microbial Metabolic Engineering and Bioproduction 12
- Single-cell and spatial transcriptomics 8
- Viral Infectious Diseases and Gene Expression in Insects 7
- Modeling and Simulation top 5%
- Genetics top 10%
- Evolution and Genetic Dynamics 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Pascal HersenRon WeissFrançois FagesCălin BeltaFrançois BertauxHidde de JongJakob RuessBoyan Yordanov
- Journals
- Nature Communications (5 papers)Bioinformatics (5 papers)PLoS Computational Biology (5 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Grégory Batt
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Biophysics 146
- Molecular Biology 891
- Modeling and Simulation 56
- Computational Theory and Mathematics 113
- Genetics 188
Countries citing papers authored by Grégory Batt
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
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 12 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 36 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 22 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 36 | |
| 10 | 2020 | 17 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 39 | |
| 13 | 2017 | 41 | |
| 14 | 2017 | 124 | |
| 15 | 2016 | 55 | |
| 16 | 2014 | 46 | |
| 17 | 2014 | 109 | |
| 18 | 2013 | 6 | |
| 19 | 2010 | 25 | |
| 20 | 2003 | 66 |
About Grégory Batt
Grégory Batt is a scholar working on Biophysics, Molecular Biology and Genetics, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (27 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Single-cell and spatial transcriptomics (8 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Evolution and Genetic Dynamics (6 papers), Cell Image Analysis Techniques (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Biophysics (146 citations), Molecular Biology (891 citations) and Modeling and Simulation (56 citations). Grégory Batt has collaborated with scholars based in France, United States and Italy. Frequent 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. Their work appears in journals such as Nature Communications, Bioinformatics, PLoS Computational Biology, Scientific Reports and Proceedings of the National Academy of Sciences.
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.