Cyrille Longin

714 total citations
8 papers, 560 citations indexed

About

Cyrille Longin is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Cyrille Longin has authored 8 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Cyrille Longin's work include Genetics and Plant Breeding (4 papers), Wheat and Barley Genetics and Pathology (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Cyrille Longin is often cited by papers focused on Genetics and Plant Breeding (4 papers), Wheat and Barley Genetics and Pathology (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Cyrille Longin collaborates with scholars based in France, Germany and India. Cyrille Longin's co-authors include Claudine Médigue, Aurélie Lajus, Alexandra Calteau, Stéphane Cruveiller, David Vallenet, Zoé Rouy, Grégory Salvignol, Alexander Smith, David Roche and Claude Scarpelli and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Cyrille Longin

8 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cyrille Longin France 5 236 165 140 131 84 8 560
Jolantha Swiderski Germany 12 267 1.1× 181 1.1× 104 0.7× 53 0.4× 26 0.3× 17 502
Nancy Weiland‐Bräuer Germany 12 250 1.1× 153 0.9× 72 0.5× 35 0.3× 63 0.8× 23 564
F. A. Bastiaan von Meijenfeldt Netherlands 12 361 1.5× 419 2.5× 80 0.6× 84 0.6× 41 0.5× 21 733
Tomeu Viver Spain 15 325 1.4× 310 1.9× 84 0.6× 66 0.5× 41 0.5× 50 594
Stephan Köstlbacher Austria 15 244 1.0× 210 1.3× 95 0.7× 45 0.3× 56 0.7× 23 540
C. John Burk Germany 9 218 0.9× 132 0.8× 74 0.5× 81 0.6× 43 0.5× 28 478
Sathish Rajamani United States 13 419 1.8× 140 0.8× 131 0.9× 40 0.3× 88 1.0× 22 752
Jae-Chang Cho South Korea 10 384 1.6× 477 2.9× 187 1.3× 73 0.6× 37 0.4× 13 803
Varisa Huangyutitham United States 6 372 1.6× 367 2.2× 132 0.9× 71 0.5× 125 1.5× 7 683
Gitta Szabó Hungary 12 373 1.6× 302 1.8× 97 0.7× 34 0.3× 144 1.7× 17 702

Countries citing papers authored by Cyrille Longin

Since Specialization
Citations

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

Fields of papers citing papers by Cyrille Longin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyrille Longin

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

All Works

8 of 8 papers shown
1.
Gully, Djamel, Pierre Czernic, Stéphane Cruveiller, et al.. (2018). Transcriptome Profiles of Nod Factor-independent Symbiosis in the Tropical Legume Aeschynomene evenia. Scientific Reports. 8(1). 10934–10934. 21 indexed citations
2.
Jubelin, Grégory, Anne Lanois, Dany Séverac, et al.. (2013). FliZ Is a Global Regulatory Protein Affecting the Expression of Flagellar and Virulence Genes in Individual Xenorhabdus nematophila Bacterial Cells. PLoS Genetics. 9(10). e1003915–e1003915. 24 indexed citations
3.
Humbert, Jean François, Valérie Barbe, Amel Latifi, et al.. (2013). A Tribute to Disorder in the Genome of the Bloom-Forming Freshwater Cyanobacterium Microcystis aeruginosa. PLoS ONE. 8(8). e70747–e70747. 138 indexed citations
4.
Gowda, Manje, Yusheng Zhao, Tobias Würschum, et al.. (2013). Relatedness severely impacts accuracy of marker-assisted selection for disease resistance in hybrid wheat. Heredity. 112(5). 552–561. 53 indexed citations
5.
Vallenet, David, Eugeni Belda, Alexandra Calteau, et al.. (2012). MicroScope—an integrated microbial resource for the curation and comparative analysis of genomic and metabolic data. Nucleic Acids Research. 41(D1). D636–D647. 314 indexed citations
6.
Dhillon, B. S., et al.. (2009). COMPARISON OF SELECTION STRATEGIES AND OPTIMIZATION CRITERIA IN HYBRID MAIZE BREEDING WITH DOUBLED HAPLOIDS. Maydica. 54. 343–352. 2 indexed citations
7.
Longin, Cyrille, Hans Peter Maurer, Albrecht E. Melchinger, & Matthias Frisch. (2009). Optimum allocation of test resources and relative efficiency of alternative procedures of within‐family selection in hybrid breeding. Plant Breeding. 128(2). 213–216. 4 indexed citations
8.
Longin, Cyrille, H. Friedrich Utz, Albrecht E. Melchinger, & Jochen C. Reif. (2006). Hybrid maize breeding with doubled haploids: Comparison between selection criteria. Acta Agronomica Hungarica. 54(3). 343–350. 4 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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