J Millet
Impact in
- Biotechnology top 0.5%
- Enzyme Production and Characterization
- Genetics top 2%
- Bacterial Genetics and Biotechnology
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 8
-
- Enzyme Production and Characterization 21
- Co-authors
- Jean-Marie Aubert (12 shared papers)P Schaeffer (3 shared papers)Pierre Béguin (18 shared papers)Jean-Paul Aubert (7 shared papers)Philippe Cornet (3 shared papers)R. Longin (5 shared papers)Jean Pétré (2 shared papers)Patrick Tailliez (4 shared papers)
- Journals
- Biochimie (6 papers)Applied and Environmental Microbiology (3 papers)Journal of Bacteriology (2 papers)Nature Biotechnology (2 papers)Biochemical Society Transactions (2 papers)
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
J Millet
61 papers receiving 2.7k citations
J Millet's Hit Papers
Peers
Comparison fields: 5 of 96
- Biotechnology 929
- Genetics 1.1k
- Ecology 690
- Molecular Biology 1.8k
- Biomedical Engineering 906
Countries citing papers authored by J Millet
This map shows the geographic impact of J Millet'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 J Millet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Millet more than expected).
Fields of papers citing papers by J Millet
This network shows the impact of papers produced by J Millet. 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 J Millet. The network helps show where J Millet may publish in the future.
Co-authors
The 25 scholars most cited alongside J Millet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Catabolic repression of bacterial sporulation. Hit paper breakdown → | 1965 | 1108 |
| 2 | 1970 | 167 | |
| 3 | 1981 | 125 | |
| 4 | 1983 | 117 | |
| 5 | 1991 | 102 | |
| 6 | 1988 | 100 | |
| 7 | 1985 | 99 | |
| 8 | 1995 | 91 | |
| 9 | 1983 | 87 | |
| 10 | 1986 | 87 | |
| 11 | 1970 | 81 | |
| 12 | 1989 | 78 | |
| 13 | 1986 | 67 | |
| 14 | 1972 | 62 | |
| 15 | 1983 | 60 | |
| 16 | 1991 | 49 | |
| 17 | 1988 | 39 | |
| 18 | 1983 | 37 | |
| 19 | 1989 | 35 | |
| 20 | 1992 | 30 |
About J Millet
J Millet is a scholar working on Molecular Biology, Biotechnology, Biomedical Engineering, Genetics and Materials Chemistry, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (22 papers), Enzyme Production and Characterization (21 papers), Enzyme Structure and Function (11 papers), Bacterial Genetics and Biotechnology (9 papers), Advanced Cellulose Research Studies (8 papers), Peptidase Inhibition and Analysis (8 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Probiotics and Fermented Foods (6 papers). The work is most often cited by research in Biotechnology (929 citations), Genetics (1.1k citations), Ecology (690 citations), Molecular Biology (1.8k citations) and Biomedical Engineering (906 citations). J Millet has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Jean-Marie Aubert, P Schaeffer, Pierre Béguin, Jean-Paul Aubert, Philippe Cornet, R. Longin, Jean Pétré, Patrick Tailliez, H. Girard and Gilles Reysset. Their work appears in journals such as Biochimie, Applied and Environmental Microbiology, Journal of Bacteriology, Nature Biotechnology and Biochemical Society Transactions.
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.