Anne Diévart

6.0k total citations
32 papers, 1.9k citations indexed

About

Anne Diévart is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Anne Diévart has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 17 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Anne Diévart's work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (10 papers) and Plant-Microbe Interactions and Immunity (8 papers). Anne Diévart is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (10 papers) and Plant-Microbe Interactions and Immunity (8 papers). Anne Diévart collaborates with scholars based in France, United States and Canada. Anne Diévart's co-authors include Steven E. Clark, Paul Jolicoeur, Christophe Périn, Normand Beaulieu, Nathalie Chantret, Gaëtan Droc, Emmanuel Guiderdoni, Vincent Ranwez, Mathieu Lupien and Ézéquiel Calvo and has published in prestigious journals such as The Plant Cell, Development and PLANT PHYSIOLOGY.

In The Last Decade

Anne Diévart

32 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Diévart France 21 1.4k 1.1k 157 114 65 32 1.9k
Sara E. Patterson United States 27 2.0k 1.4× 1.7k 1.5× 76 0.5× 116 1.0× 100 1.5× 46 2.7k
Xing Liu China 25 1.7k 1.2× 1.8k 1.6× 174 1.1× 128 1.1× 119 1.8× 83 2.5k
Tetsuo Mikami Japan 25 1.1k 0.8× 1.3k 1.2× 90 0.6× 269 2.4× 36 0.6× 111 2.0k
Chong Ren China 18 852 0.6× 1.0k 1.0× 69 0.4× 58 0.5× 64 1.0× 41 1.5k
Gideon Grafi Israel 28 1.9k 1.4× 1.7k 1.6× 98 0.6× 124 1.1× 125 1.9× 76 2.4k
Qijun Chen China 26 1.5k 1.0× 1.8k 1.7× 100 0.6× 164 1.4× 40 0.6× 54 2.6k
José Manuel Pérez‐Pérez Spain 29 2.3k 1.6× 1.9k 1.8× 54 0.3× 139 1.2× 104 1.6× 78 2.7k
Giovanna Sessa Italy 21 2.8k 2.0× 2.3k 2.1× 64 0.4× 54 0.5× 35 0.5× 31 3.1k
Aviva Katz Israel 16 1.3k 0.9× 921 0.9× 88 0.6× 114 1.0× 68 1.0× 24 1.6k
Cécile Raynaud France 29 1.8k 1.3× 1.8k 1.6× 33 0.2× 86 0.8× 77 1.2× 58 2.5k

Countries citing papers authored by Anne Diévart

Since Specialization
Citations

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

Fields of papers citing papers by Anne Diévart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Diévart

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Diévart. A scholar is included among the top collaborators of Anne Diévart 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 Anne Diévart. Anne Diévart 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.
Diévart, Anne, Marilyne Summo, Gaëtan Droc, et al.. (2021). A new comprehensive annotation of leucine‐rich repeat‐containing receptors in rice. The Plant Journal. 108(2). 492–508. 10 indexed citations
2.
Diévart, Anne, et al.. (2020). Origin and Diversity of Plant Receptor-Like Kinases. Annual Review of Plant Biology. 71(1). 131–156. 160 indexed citations
3.
4.
Henry, Susan A., Anne Diévart, Fanchon Divol, et al.. (2017). SHR overexpression induces the formation of supernumerary cell layers with cortex cell identity in rice. Developmental Biology. 425(1). 1–7. 34 indexed citations
5.
Bettembourg, Mathilde, Audrey Dardou, Alain Audebert, et al.. (2017). Genome-wide association mapping for root cone angle in rice. Rice. 10(1). 45–45. 29 indexed citations
6.
Dufayard, Jean François, Mathilde Bettembourg, Iris Fischer, et al.. (2017). New Insights on Leucine-Rich Repeats Receptor-Like Kinase Orthologous Relationships in Angiosperms. Frontiers in Plant Science. 8. 381–381. 62 indexed citations
7.
Bettembourg, Mathilde, Charlotte Bureau, Aurore Vernet, et al.. (2017). Root cone angle is enlarged in docs1 LRR-RLK mutants in rice. Rice. 10(1). 50–50. 12 indexed citations
8.
Divol, Fanchon, Mathilde Bettembourg, Charlotte Bureau, et al.. (2016). Immunoprofiling of Rice Root Cortex Reveals Two Cortical Subdomains. Frontiers in Plant Science. 6. 1139–1139. 25 indexed citations
9.
Fischer, Iris, Anne Diévart, Gaëtan Droc, Jean François Dufayard, & Nathalie Chantret. (2016). Evolutionary Dynamics of the Leucine-Rich Repeat Receptor-Like Kinase (LRR-RLK) Subfamily in Angiosperms. PLANT PHYSIOLOGY. 170(3). 1595–1610. 90 indexed citations
10.
Lartaud, Marc, Christophe Périn, Brigitte Courtois, et al.. (2015). PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification. Frontiers in Plant Science. 5. 790–790. 24 indexed citations
11.
Diévart, Anne, Christophe Périn, Judith Hirsch, et al.. (2015). The phenome analysis of mutant alleles in Leucine-Rich Repeat Receptor-Like Kinase genes in rice reveals new potential targets for stress tolerant cereals. Plant Science. 242. 240–249. 24 indexed citations
12.
Diévart, Anne, Yoan Coudert, Pascal Gantet, et al.. (2013). Dissecting the biological bases of traits of interest in rice: Architecture and development of the root system. Cahiers Agricultures. 22(5). 475–483. 5 indexed citations
13.
Mieulet, Delphine, et al.. (2013). Reverse Genetics in Rice Using Tos17. Methods in molecular biology. 1057. 205–221. 6 indexed citations
14.
Coudert, Yoan, Anne Diévart, Gaëtan Droc, & Pascal Gantet. (2012). ASL/LBD Phylogeny Suggests that Genetic Mechanisms of Root Initiation Downstream of Auxin Are Distinct in Lycophytes and Euphyllophytes. Molecular Biology and Evolution. 30(3). 569–572. 40 indexed citations
15.
Diévart, Anne, Nicolas Gilbert, Gaëtan Droc, et al.. (2011). Leucine-Rich repeat receptor kinases are sporadically distributed in eukaryotic genomes. BMC Evolutionary Biology. 11(1). 367–367. 47 indexed citations
16.
Hu, Chunyan, Anne Diévart, Mathieu Lupien, et al.. (2006). Overexpression of Activated Murine Notch1 and Notch3 in Transgenic Mice Blocks Mammary Gland Development and Induces Mammary Tumors. American Journal Of Pathology. 168(3). 973–990. 157 indexed citations
17.
Lupien, Mathieu, Anne Diévart, Carlos R. Morales, et al.. (2006). Expression of constitutively active Notch1 in male genital tracts results in ectopic growth and blockage of efferent ducts, epididymal hyperplasia and sterility. Developmental Biology. 300(2). 497–511. 29 indexed citations
18.
Diévart, Anne, Monica Dalal, Frans E. Tax, et al.. (2003). CLAVATA1 Dominant-Negative Alleles Reveal Functional Overlap between Multiple Receptor Kinases That Regulate Meristem and Organ Development. The Plant Cell. 15(5). 1198–1211. 162 indexed citations
19.
Diévart, Anne & Steven E. Clark. (2003). Using mutant alleles to determine the structure and function of leucine-rich repeat receptor-like kinases. Current Opinion in Plant Biology. 6(5). 507–516. 100 indexed citations
20.
Jolicoeur, Paul, et al.. (1998). Use of mouse mammary tumour virus (MMTV)/neu transgenic mice to identify genes collaborating with the c-erbB-2 oncogene in mammary tumour development.. PubMed. 63. 159–65. 9 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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