Laurence Albar

2.2k total citations
30 papers, 1.6k citations indexed

About

Laurence Albar is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Laurence Albar has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Laurence Albar's work include Plant Virus Research Studies (25 papers), Plant Pathogenic Bacteria Studies (20 papers) and Plant Disease Resistance and Genetics (14 papers). Laurence Albar is often cited by papers focused on Plant Virus Research Studies (25 papers), Plant Pathogenic Bacteria Studies (20 papers) and Plant Disease Resistance and Genetics (14 papers). Laurence Albar collaborates with scholars based in France, Ivory Coast and Burkina Faso. Laurence Albar's co-authors include Nils Stein, Beat Keller, Catherine Feuillet, Alain Ghesquière, Silvia Travella, Denis Fargette, Eugénie Hébrard, Thomas Wicker, Edith Schlagenhauf and An Ghesquiere and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and New Phytologist.

In The Last Decade

Laurence Albar

30 papers receiving 1.5k citations

Peers

Laurence Albar
Stéphanie Pflieger France
Carine Remoué France
Douglas W. Miano Kenya
Zhirui Yang China
R. T. Lewellen United States
Daniel González‐Ibeas Spain
Y. Séré Ivory Coast
Antje Habekuß Germany
Tom Ashfield United States
John Groenendijk Netherlands
Stéphanie Pflieger France
Laurence Albar
Citations per year, relative to Laurence Albar Laurence Albar (= 1×) peers Stéphanie Pflieger

Countries citing papers authored by Laurence Albar

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Albar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Albar

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Albar. A scholar is included among the top collaborators of Laurence Albar 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 Laurence Albar. Laurence Albar 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.
Arra, Yugander, Florence Auguy, Michael M. Wudick, et al.. (2023). Rice Yellow Mottle Virus resistance by genome editing of the Oryza sativa L. ssp. japonica nucleoporin gene OsCPR5.1 but not OsCPR5.2. Plant Biotechnology Journal. 22(5). 1299–1311. 12 indexed citations
2.
Tranchant‐Dubreuil, Christine, et al.. (2023). FrangiPANe, a tool for creating a panreference using left behind reads. NAR Genomics and Bioinformatics. 5(1). lqad013–lqad013. 2 indexed citations
3.
Pinel‐Galzi, Agnès, Nils Poulicard, Laurence Albar, et al.. (2023). Molecular Tools to Infer Resistance-Breaking Abilities of Rice Yellow Mottle Virus Isolates. Viruses. 15(4). 959–959. 1 indexed citations
4.
Wonni, Issa, François Sabot, Laurence Albar, et al.. (2021). Assessment of Genetic Diversity of Rice in Registered Cultivars and Farmers’ Fields in Burkina Faso. HAL (Le Centre pour la Communication Scientifique Directe). 1(3). 129–140. 7 indexed citations
5.
Ghesquière, Alain, et al.. (2020). Allele mining unlocks the identification of RYMV resistance genes and alleles in African cultivated rice. BMC Plant Biology. 20(1). 222–222. 19 indexed citations
6.
Cubry, Philippe, Christine Tranchant‐Dubreuil, Anne‐Céline Thuillet, et al.. (2020). Genome Wide Association Study Pinpoints Key Agronomic QTLs in African Rice Oryza glaberrima. Rice. 13(1). 66–66. 17 indexed citations
7.
8.
Pinel‐Galzi, Agnès, Eugénie Hébrard, Oumar Traoré, D. Silué, & Laurence Albar. (2018). Protocol for RYMV Inoculation and Resistance Evaluation in Rice Seedlings. BIO-PROTOCOL. 8(11). e2863–e2863. 10 indexed citations
9.
Ghesquière, Alain, Eugénie Hébrard, François Sabot, et al.. (2017). Fine mapping of RYMV3: a new resistance gene to Rice yellow mottle virus from Oryza glaberrima. Theoretical and Applied Genetics. 130(4). 807–818. 40 indexed citations
10.
Pinel‐Galzi, Agnès, Christine Tranchant‐Dubreuil, Eugénie Hébrard, et al.. (2016). Mutations in Rice yellow mottle virus Polyprotein P2a Involved in RYMV2 Gene Resistance Breakdown. Frontiers in Plant Science. 7. 1779–1779. 26 indexed citations
11.
Hébrard, Eugénie, Nils Poulicard, Oumar Traoré, et al.. (2010). Direct Interaction Between the Rice yellow mottle virus (RYMV) VPg and the Central Domain of the Rice eIF(iso)4G1 Factor Correlates with Rice Susceptibility and RYMV Virulence. Molecular Plant-Microbe Interactions. 23(11). 1506–1513. 53 indexed citations
12.
Ndjiondjop, Marie-Noëlle, et al.. (2010). Identification of a second major resistance gene to Rice yellow mottle virus, RYMV2, in the African cultivated rice species, O. glaberrima. Theoretical and Applied Genetics. 121(1). 169–179. 69 indexed citations
13.
Pinel‐Galzi, Agnès, et al.. (2008). Resistance to Rice yellow mottle virus in rice germplasm in Madagascar. European Journal of Plant Pathology. 122(2). 277–286. 33 indexed citations
14.
Albar, Laurence, et al.. (2007). Evaluation of genes from eIF4E and eIF4G multigenic families as potential candidates for partial resistance QTLs to Rice yellow mottle virus in rice. Theoretical and Applied Genetics. 116(1). 53–62. 26 indexed citations
15.
Albar, Laurence, et al.. (2006). Mutations in the eIF(iso)4G translation initiation factor confer high resistance of rice to Rice yellow mottle virus. The Plant Journal. 47(3). 417–426. 150 indexed citations
16.
Albar, Laurence, Angélique Berger, Alexandre Pinel, et al.. (2003). Fine genetic mapping of a gene required for Rice yellow mottle virus cell-to-cell movement. Theoretical and Applied Genetics. 107(2). 371–378. 47 indexed citations
17.
Feuillet, Catherine, et al.. (2003). Map-based isolation of the leaf rust disease resistance gene Lr10 from the hexaploid wheat ( Triticum aestivum L.) genome. Proceedings of the National Academy of Sciences. 100(25). 15253–15258. 388 indexed citations
18.
Wicker, Thomas, Nils Stein, Laurence Albar, et al.. (2001). Analysis of a contiguous 211 kb sequence in diploid wheat (Triticum monococcum L.) reveals multiple mechanisms of genome evolution. The Plant Journal. 26(3). 307–316. 183 indexed citations
19.
Albar, Laurence, Mathias Lorieux, Nourollah Ahmadi, et al.. (1998). Genetic basis and mapping of the resistance to rice yellow mottle virus. I. QTLs identification and relationship between resistance and plant morphology. Theoretical and Applied Genetics. 97(7). 1145–1154. 71 indexed citations
20.
Pressoir, Gaël, Laurence Albar, Nourollah Ahmadi, et al.. (1998). Genetic basis and mapping of the resistance to rice yellow mottle virus. II. Evidence of a complementary epistasis between two QTLs. Theoretical and Applied Genetics. 97(7). 1155–1161. 25 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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