Charles Robin

5.6k total citations
55 papers, 2.0k citations indexed

About

Charles Robin is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, Charles Robin has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 23 papers in Insect Science and 13 papers in Genetics. Recurrent topics in Charles Robin's work include Insect Resistance and Genetics (29 papers), Insect-Plant Interactions and Control (14 papers) and Neurobiology and Insect Physiology Research (12 papers). Charles Robin is often cited by papers focused on Insect Resistance and Genetics (29 papers), Insect-Plant Interactions and Control (14 papers) and Neurobiology and Insect Physiology Research (12 papers). Charles Robin collaborates with scholars based in Australia, Germany and United States. Charles Robin's co-authors include Robert T. Good, Philip Batterham, Siu Fai Lee, John G. Oakeshott, Phillip J. Daborn, Mark J. Blacket, Adam D. Miller, Joshua M. Schmidt, Paul Battlay and R.J. Russell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Charles Robin

55 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Charles Robin 1.2k 886 590 588 260 55 2.0k
В. В. Глупов 969 0.8× 1.6k 1.8× 225 0.4× 808 1.4× 147 0.6× 123 2.3k
Ivan M. Dubovskiy 916 0.7× 1.5k 1.7× 211 0.4× 693 1.2× 155 0.6× 62 1.9k
Yan‐Yuan Bao 1.5k 1.2× 1.6k 1.8× 366 0.6× 936 1.6× 219 0.8× 49 2.7k
Omprakash Mittapalli 1.1k 0.8× 1.1k 1.2× 267 0.5× 528 0.9× 209 0.8× 53 1.8k
Cheng Jiaan 677 0.5× 1.4k 1.5× 238 0.4× 1.0k 1.7× 293 1.1× 95 1.9k
Gopalan C. Unnithan 1.5k 1.2× 1.6k 1.8× 389 0.7× 788 1.3× 294 1.1× 71 2.3k
Thomas Chertemps 703 0.6× 1.1k 1.2× 633 1.1× 252 0.4× 290 1.1× 45 1.9k
Fredrik Tegenfeldt 1.1k 0.9× 315 0.4× 558 0.9× 448 0.8× 296 1.1× 8 1.9k
Janet L. Yen 954 0.8× 779 0.9× 236 0.4× 490 0.8× 121 0.5× 13 1.5k
S. P. Foster 1.0k 0.8× 2.4k 2.7× 436 0.7× 1.2k 2.1× 671 2.6× 97 2.9k

Countries citing papers authored by Charles Robin

Since Specialization
Citations

This map shows the geographic impact of Charles Robin'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 Charles Robin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Robin more than expected).

Fields of papers citing papers by Charles Robin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles Robin. 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 Charles Robin. The network helps show where Charles Robin may publish in the future.

Co-authorship network of co-authors of Charles Robin

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Robin. A scholar is included among the top collaborators of Charles Robin 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 Charles Robin. Charles Robin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Robin, Charles, et al.. (2024). Genetic characterization of candidate ecdysteroid kinases in Drosophila melanogaster. G3 Genes Genomes Genetics. 14(11). 2 indexed citations
2.
Baxter, Simon W., et al.. (2024). The haplolethal gene wupA of Drosophila exhibits potential as a target for an X-poisoning gene drive. G3 Genes Genomes Genetics. 14(4). 4 indexed citations
3.
4.
Battlay, Paul, et al.. (2022). Ecdysteroid kinase-like (EcKL) paralogs confer developmental tolerance to caffeine in Drosophila melanogaster. SHILAP Revista de lepidopterología. 2. 100030–100030. 6 indexed citations
5.
6.
Battlay, Paul, et al.. (2019). Cis - and trans -acting variants contribute to survivorship in a naïve Drosophila melanogaster population exposed to ryanoid insecticides. Proceedings of the National Academy of Sciences. 116(21). 10424–10429. 18 indexed citations
7.
Good, Robert T., et al.. (2019). Extracellular endonucleases in the midgut of Myzus persicae may limit the efficacy of orally delivered RNAi. Scientific Reports. 9(1). 11898–11898. 19 indexed citations
8.
Fournier‐Level, Alexandre, Robert T. Good, Stephen Wilcox, et al.. (2019). The spread of resistance to imidacloprid is restricted by thermotolerance in natural populations of Drosophila melanogaster. Nature Ecology & Evolution. 3(4). 647–656. 32 indexed citations
9.
Battlay, Paul, et al.. (2018). Structural Variants and Selective Sweep Foci Contribute to Insecticide Resistance in the Drosophila Genetic Reference Panel. G3 Genes Genomes Genetics. 8(11). 3489–3497. 31 indexed citations
10.
11.
Hoffmann, Ary A., Mark J. Blacket, Stephen W. McKechnie, et al.. (2012). A proline repeat polymorphism of the Frost gene of Drosophila melanogaster showing clinal variation but not associated with cold resistance. Insect Molecular Biology. 21(4). 437–445. 12 indexed citations
12.
Griffin, Philippa C., Charles Robin, & Ary A. Hoffmann. (2011). A next-generation sequencing method for overcoming the multiple gene copy problem in polyploid phylogenetics, applied to Poa grasses. BMC Biology. 9(1). 19–19. 76 indexed citations
13.
Southon, Adam, et al.. (2010). Conservation of copper-transporting P(IB)-type ATPase function. BioMetals. 23(4). 681–694. 18 indexed citations
14.
Schmidt, Joshua M., Robert T. Good, Belinda Appleton, et al.. (2010). Copy Number Variation and Transposable Elements Feature in Recent, Ongoing Adaptation at the Cyp6g1 Locus. PLoS Genetics. 6(6). e1000998–e1000998. 230 indexed citations
15.
Teese, Mark G., Peter M. Campbell, Colin Scott, et al.. (2009). Gene identification and proteomic analysis of the esterases of the cotton bollworm, Helicoverpa armigera. Insect Biochemistry and Molecular Biology. 40(1). 1–16. 61 indexed citations
16.
Sztal, Tamar E., Henry Chung, Lydia Gramzow, et al.. (2007). Two independent duplications forming the Cyp307a genes in Drosophila. Insect Biochemistry and Molecular Biology. 37(10). 1044–1053. 31 indexed citations
17.
Robin, Charles, Richard F. Lyman, Anthony D. Long, Charles H. Langley, & Trudy F. C. Mackay. (2002). hairy: A Quantitative Trait Locus for Drosophila Sensory Bristle Number. Genetics. 162(1). 155–164. 56 indexed citations
18.
Robin, Charles, Charles Claudianos, Robyn J. Russell, & John G. Oakeshott. (2000). Reconstructing the Diversification of α-Esterases: Comparing the Gene Clusters of Drosophila buzzatii and D. melanogaster. Journal of Molecular Evolution. 51(2). 149–160. 11 indexed citations
19.
Robin, Charles, et al.. (1996). Duplication and divergence of the genes of the α-esterase cluster ofDrosophila melanogaster. Journal of Molecular Evolution. 43(3). 241–252. 39 indexed citations
20.
Blanche, Francis, Charles Robin, M Couder, et al.. (1991). Purification, characterization, and molecular cloning of S-adenosyl-L-methionine: uroporphyrinogen III methyltransferase from Methanobacterium ivanovii. Journal of Bacteriology. 173(15). 4637–4645. 40 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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