J. Becker
Impact in
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- Neurobiology and Insect Physiology Research
- Insect Science top 5%
- Insect Utilization and Effects
- Insect and Pesticide Research
Papers in
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- RNA and protein synthesis mechanisms 3
- Biochemical and Molecular Research 1
- Genomics and Phylogenetic Studies 1
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- Neurobiology and Insect Physiology Research 4
- Co-authors
- П. Карлсон (1 shared paper)Jan Koolman (1 shared paper)Martin Best‐Belpomme (6 shared papers)Frédérique Peronnet (5 shared papers)Francis Galibert (2 shared papers)L d'Auriol (2 shared papers)Martin Brendel (1 shared paper)Guy Echalier (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)In Vitro Cellular & Developmental Biology - Plant (1 paper)Insect Biochemistry (2 papers)Biological Chemistry Hoppe-Seyler (1 paper)PubMed (2 papers)
In The Last Decade
J. Becker
9 papers receiving 517 citations
Peers
Comparison fields: 5 of 53
- Cellular and Molecular Neuroscience 335
- Insect Science 183
- Biochemistry 49
- Aquatic Science 36
- Genetics 112
Countries citing papers authored by J. Becker
This map shows the geographic impact of J. Becker'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. Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Becker more than expected).
Fields of papers citing papers by J. Becker
This network shows the impact of papers produced by J. Becker. 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. Becker. The network helps show where J. Becker may publish in the future.
Co-authors
The 9 scholars most cited alongside J. Becker, 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 | Ecdysone : from chemistry to mode of action | 1989 | 417 |
| 2 | 1988 | 53 | |
| 3 | 1986 | 33 | |
| 4 | 1996 | 12 | |
| 5 | Ecdysterone decreases the transcription level of the retrotransposons 1731 and 412 in a Drosophila cell line. | 1991 | 8 |
| 6 | From transcript modulations to protein phosphorylation: A short survey of some effects of ecdysteroid | 1986 | 3 |
| 7 | 1986 | 3 | |
| 8 | 1981 | 2 | |
| 9 | Characterization and purification of DNA-RNA complexes related with 1731 and copia-like transposable elements in a Drosophila cell line. | 1990 | 2 |
About J. Becker
J. Becker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Ecology and Biochemistry, having authored 9 papers that have together received 533 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), RNA and protein synthesis mechanisms (3 papers), Insect and Pesticide Research (1 paper), Plant Molecular Biology Research (1 paper), Insect Utilization and Effects (1 paper), Biochemical and Molecular Research (1 paper), Physiological and biochemical adaptations (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (335 citations), Insect Science (183 citations), Biochemistry (49 citations), Aquatic Science (36 citations) and Genetics (112 citations). J. Becker has collaborated with scholars based in France and Germany. Frequent co-authors include П. Карлсон, Jan Koolman, Martin Best‐Belpomme, Frédérique Peronnet, Francis Galibert, L d'Auriol, Martin Brendel, Guy Echalier and B. Dastugue. Their work appears in journals such as Nucleic Acids Research, In Vitro Cellular & Developmental Biology - Plant, Insect Biochemistry, Biological Chemistry Hoppe-Seyler and PubMed.
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.