J. Becker

685 total citations
9 papers, 533 citations indexed

About

J. Becker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, J. Becker has authored 9 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Plant Science. Recurrent topics in J. Becker's work include Neurobiology and Insect Physiology Research (4 papers), RNA and protein synthesis mechanisms (3 papers) and Amino Acid Enzymes and Metabolism (1 paper). J. Becker is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), RNA and protein synthesis mechanisms (3 papers) and Amino Acid Enzymes and Metabolism (1 paper). J. Becker collaborates with scholars based in France and Germany. J. Becker's co-authors include Jan Koolman, П. Карлсон, Martin Best‐Belpomme, Frédérique Peronnet, Francis Galibert, L d'Auriol, Martin Brendel, B. Dastugue and Guy Echalier and has published in prestigious journals such as Nucleic Acids Research, In Vitro Cellular & Developmental Biology - Plant and Insect Biochemistry.

In The Last Decade

J. Becker

9 papers receiving 517 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Becker France 5 335 207 183 134 112 9 533
J.M. Van Doorn Netherlands 14 376 1.1× 226 1.1× 193 1.1× 60 0.4× 122 1.1× 25 653
Martin Vögtli Switzerland 12 232 0.7× 253 1.2× 102 0.6× 58 0.4× 106 0.9× 12 450
Miranda C. Van Heusden United States 13 290 0.9× 118 0.6× 143 0.8× 38 0.3× 70 0.6× 15 439
Dan E. Farnsworth United States 14 541 1.6× 329 1.6× 465 2.5× 62 0.5× 257 2.3× 21 812
Charles W. Woods United States 18 451 1.3× 166 0.8× 401 2.2× 93 0.7× 280 2.5× 43 703
Spiro J. Louloudes United States 11 208 0.6× 158 0.8× 226 1.2× 65 0.5× 102 0.9× 21 417
Steven J. Saul United States 17 255 0.8× 201 1.0× 326 1.8× 115 0.9× 74 0.7× 20 674
Kenneth J. Judy United States 14 390 1.2× 136 0.7× 320 1.7× 27 0.2× 243 2.2× 15 582
Julie A. Tillman United States 9 216 0.6× 268 1.3× 530 2.9× 155 1.2× 275 2.5× 10 841
Richard A. Slawecki United States 8 204 0.6× 226 1.1× 350 1.9× 236 1.8× 79 0.7× 9 663

Countries citing papers authored by J. Becker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J. Becker

This figure shows the co-authorship network connecting the top 25 collaborators of J. Becker. A scholar is included among the top collaborators of J. Becker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Becker. J. Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Becker, J. & Martin Brendel. (1996). Rapid Purification and Characterization of Two Distinct N-Deoxyribosyltransferases ofLactobacillus leichmannii. Biological Chemistry Hoppe-Seyler. 377(6). 357–362. 12 indexed citations
2.
Becker, J., et al.. (1991). Ecdysterone decreases the transcription level of the retrotransposons 1731 and 412 in a Drosophila cell line.. PubMed. 37(1). 41–9. 8 indexed citations
3.
Becker, J., et al.. (1990). Characterization and purification of DNA-RNA complexes related with 1731 and copia-like transposable elements in a Drosophila cell line.. PubMed. 36(4). 449–60. 2 indexed citations
4.
Koolman, Jan, J. Becker, & П. Карлсон. (1989). Ecdysone : from chemistry to mode of action. Medical Entomology and Zoology. 417 indexed citations
5.
Peronnet, Frédérique, L d'Auriol, J. Becker, Francis Galibert, & Martin Best‐Belpomme. (1988). Primary structure and functional organization of Drosophila 1731 retrotransposon. Nucleic Acids Research. 16(13). 6113–6125. 53 indexed citations
6.
Peronnet, Frédérique, et al.. (1986). From transcript modulations to protein phosphorylation: A short survey of some effects of ecdysteroid. Insect Biochemistry. 16(1). 199–201. 3 indexed citations
7.
Peronnet, Frédérique, et al.. (1986). From transcript modulations to protein phosphorylation. Insect Biochemistry. 16(1). 199–201. 3 indexed citations
8.
Peronnet, Frédérique, et al.. (1986). 1731, a new retrotranspoaon with hormone modulated expression. Nucleic Acids Research. 14(22). 9017–9033. 33 indexed citations
9.
Becker, J., et al.. (1981). Specific vitamin requirements of insect cell lines (P. Americana) according to their tissue origin and in vitro conditions. In Vitro Cellular & Developmental Biology - Plant. 17(6). 471–479. 2 indexed citations

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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