J. Becker
Impact in
-
- Neurobiology and Insect Physiology Research
- Insect Science top 5%
- Insect Utilization and Effects
- Insect and Pesticide Research
Papers in
-
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Viral Infectious Diseases and Gene Expression in Insects 1
-
- Neurobiology and Insect Physiology Research 4
- Co-authors
- П. Карлсон (1 shared paper)Jan Koolman (1 shared paper)Martin Best‐Belpomme (7 shared papers)Frédérique Peronnet (6 shared papers)L d'Auriol (3 shared papers)Francis Galibert (3 shared papers)B. Dastugue (1 shared paper)Guy Echalier (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)In Vitro Cellular & Developmental Biology - Plant (1 paper)PubMed (2 papers)Insect Biochemistry (2 papers)Europe PMC (PubMed Central) (1 paper)
- Partner nations
- France
In The Last Decade
J. Becker
9 papers receiving 555 citations
Peers
Comparison fields: 5 of 54
- Cellular and Molecular Neuroscience 365
- Insect Science 201
- Biochemistry 57
- Aquatic Science 38
- Genetics 123
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 8 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 | 462 |
| 2 | 1988 | 56 | |
| 3 | 1986 | 35 | |
| 4 | 1981 | 8 | |
| 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 | Characterization and purification of DNA-RNA complexes related with 1731 and copia-like transposable elements in a Drosophila cell line. | 1990 | 2 |
| 9 | 1988 | 1 |
About J. Becker
J. Becker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Genetics and Ecology, having authored 9 papers that have together received 578 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Plant Molecular Biology Research (1 paper), Insect Utilization and Effects (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (365 citations), Insect Science (201 citations), Biochemistry (57 citations), Aquatic Science (38 citations) and Genetics (123 citations). J. Becker has collaborated with scholars based in France. Frequent co-authors include П. Карлсон, Jan Koolman, Martin Best‐Belpomme, Frédérique Peronnet, L d'Auriol, Francis Galibert, B. Dastugue and Guy Echalier. Their work appears in journals such as Nucleic Acids Research, In Vitro Cellular & Developmental Biology - Plant, PubMed, Insect Biochemistry and Europe PMC (PubMed Central).
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.