Fabienne Maillet

6.7k total citations · 2 hit papers
39 papers, 4.5k citations indexed

About

Fabienne Maillet is a scholar working on Plant Science, Agronomy and Crop Science and Ecology. According to data from OpenAlex, Fabienne Maillet has authored 39 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 12 papers in Agronomy and Crop Science and 7 papers in Ecology. Recurrent topics in Fabienne Maillet's work include Legume Nitrogen Fixing Symbiosis (38 papers), Plant nutrient uptake and metabolism (29 papers) and Agronomic Practices and Intercropping Systems (12 papers). Fabienne Maillet is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (38 papers), Plant nutrient uptake and metabolism (29 papers) and Agronomic Practices and Intercropping Systems (12 papers). Fabienne Maillet collaborates with scholars based in France, United States and United Kingdom. Fabienne Maillet's co-authors include Jean Dénarié, G. Truchet, Jean Denarié, Catherine Faucher, Philippe Roche, Patrice Lerouge, J. C. Promé, Charles Rosenberg, Frederic Debellé and Clare Gough and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fabienne Maillet

39 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Symbiotic host-specificity of Rhizobium meliloti is determined by a sulphated and acylated glucosamine oligosaccharide signal

1990 818 citations Patrice Lerouge, Philippe Roche et al. Nature profile →
Fungal lipochitooligosaccharide symbiotic signals in arbuscular mycorrhiza

2010 690 citations Fabienne Maillet, Véréna Poinsot et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabienne Maillet France	27	4.3k	1.4k	417	354	130	39	4.5k
G. Truchet France	32	4.6k 1.1×	1.7k 1.2×	502 1.2×	494 1.4×	133 1.0×	56	4.9k
Simona Radutoiu Denmark	29	4.4k 1.0×	1.5k 1.1×	587 1.4×	346 1.0×	47 0.4×	54	4.8k
René Geurts Netherlands	34	5.1k 1.2×	1.7k 1.2×	613 1.5×	289 0.8×	30 0.2×	77	5.4k
Clare Gough France	33	4.2k 1.0×	1.1k 0.8×	480 1.2×	191 0.5×	23 0.2×	60	4.5k
Jean Denarié France	6	2.1k 0.5×	608 0.4×	290 0.7×	140 0.4×	102 0.8×	6	2.2k
Krzysztof Szczygłowski Canada	28	4.4k 1.0×	1.6k 1.1×	605 1.5×	165 0.5×	14 0.1×	56	4.6k
Lene H. Madsen Denmark	28	5.0k 1.2×	1.9k 1.4×	580 1.4×	265 0.7×	19 0.1×	33	5.2k
Mikiko Abe Japan	24	1.8k 0.4×	435 0.3×	326 0.8×	197 0.6×	33 0.3×	69	2.1k
Erik Limpens Netherlands	25	3.3k 0.8×	842 0.6×	423 1.0×	163 0.5×	13 0.1×	38	3.5k
Thierry Huguet France	40	3.9k 0.9×	724 0.5×	795 1.9×	202 0.6×	12 0.1×	78	4.2k

Countries citing papers authored by Fabienne Maillet

Since Specialization

Citations

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

Fields of papers citing papers by Fabienne Maillet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabienne Maillet

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

All Works

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20 of 20 papers shown

Cullimore, Julie V., Judith Fliegmann, Virginie Gasciolli, et al.. (2023). Evolution of Lipochitooligosaccharide Binding to a LysM-RLK for Nodulation in Medicago truncatula. Plant and Cell Physiology. 64(7). 746–757. 5 indexed citations

Sorroche, Fernando, Violette Morales, Carole Pichereaux, et al.. (2020). The ex planta signal activity of a Medicago ribosomal uL2 protein suggests a moonlighting role in controlling secondary rhizobial infection. PLoS ONE. 15(10). e0235446–e0235446. 1 indexed citations

Buendia, Luis, Fabienne Maillet, Devin O’Connor, et al.. (2018). Lipo‐chitooligosaccharides promote lateral root formation and modify auxin homeostasis in Brachypodium distachyon. New Phytologist. 221(4). 2190–2202. 19 indexed citations

Maillet, Fabienne, et al.. (2018). Adapting the Lateral Root-Inducible System to Medicago truncatula. Methods in molecular biology. 1761. 77–83. 1 indexed citations

Poinsot, Véréna, et al.. (2016). New insights into Nod factor biosynthesis: Analyses of chitooligomers and lipo-chitooligomers of Rhizobium sp. IRBG74 mutants. Carbohydrate Research. 434. 83–93. 22 indexed citations

Maillet, Fabienne, et al.. (2011). PhotosyntheticBradyrhizobiumSp. Strain ORS285 Synthesizes 2-O-Methylfucosylated Lipochitooligosaccharides fornodGene–Dependent Interaction withAeschynomenePlants. Molecular Plant-Microbe Interactions. 24(12). 1440–1447. 37 indexed citations

Maillet, Fabienne, Véréna Poinsot, Olivier André, et al.. (2010). Fungal lipochitooligosaccharide symbiotic signals in arbuscular mycorrhiza. Nature. 469(7328). 58–63. 690 indexed citations breakdown →

Shaw, Sidney L., Giles Oldroyd, Fabienne Maillet, et al.. (2003). The NFP locus of Medicago truncatula controls an early step of Nod factor signal transduction upstream of a rapid calcium flux and root hair deformation. The Plant Journal. 34(4). 495–506. 262 indexed citations

Demont-Caulet, Nathalie, Fabienne Maillet, Jean‐Claude Jacquinet, et al.. (1999). Nodule-Inducing Activity of Synthetic Sinorhizobium meliloti Nodulation Factors and Related Lipo-Chitooligosaccharides on Alfalfa.Importance of the Acyl Chain Structure1. PLANT PHYSIOLOGY. 120(1). 83–92. 36 indexed citations

10.

Cournoyer, Benoît, et al.. (1998). Genetic complementation of rhizobial nod mutants with Frankia DNA: artifact or reality?. Molecular and General Genetics MGG. 260(1). 115–119. 24 indexed citations

11.

Roche, Philippe, Fabienne Maillet, Frederic Debellé, et al.. (1996). The common nodABC genes of Rhizobium meliloti are host-range determinants. SPIRE - Sciences Po Institutional REpository. 2 indexed citations

12.

Poupot, Rémy, Esperanza Martı́nez-Romero, Fabienne Maillet, & Jean‐Claude Promé. (1995). Rhizobium tropici nodulation factor sulfation is limited by the quantity of activated form of sulfate. FEBS Letters. 368(3). 536–540. 15 indexed citations

13.

Ardourel, Maryvonne, Fabienne Maillet, Philippe Roche, et al.. (1995). In Rhizobium meliloti, the operon associated with the nod box n5 comprises nodL, noeA and noeB, three host‐range genes specifically required for the nodulation of particular Medicago species. Molecular Microbiology. 17(4). 687–699. 22 indexed citations

14.

Price, Neil P. J., B. Relić, Franck Talmont, et al.. (1992). Broad-host-range Rhizobium species strain NGR234 secretes a family of carbamoylated, and fucosylated, nodulation signals that are O-acetylated or sulphated. SPIRE - Sciences Po Institutional REpository. 2 indexed citations

15.

Price, Neil P. J., Franck Talmont, Astrid Lewin, et al.. (1992). Broad‐host‐range Rhizobium species strain NGR234 secretes a family of carbamoylated, and fucosylated, nodulation signals that are O‐acetylated or sulphated. Molecular Microbiology. 6(23). 3575–3584. 158 indexed citations

16.

Maillet, Fabienne, Frederic Debellé, & Jean Dénarié. (1990). Role of the nodD and syrM genes in the activation of the regulatory gene nodD3, and of the common and host‐specific nod genes of Rhizobium meliloti. Molecular Microbiology. 4(11). 1975–1984. 49 indexed citations

17.

Lerouge, Patrice, Philippe Roche, Catherine Faucher, et al.. (1990). Symbiotic host-specificity of Rhizobium meliloti is determined by a sulphated and acylated glucosamine oligosaccharide signal. Nature. 344(6268). 781–784. 818 indexed citations breakdown →

18.

Cervantés, Emilio, Shashi B. Sharma, Fabienne Maillet, et al.. (1989). The Rhizobium meliloti host range nodQ gene encodes a protein which shares homology with translation elongation and initiation factors.. Molecular Microbiology. 3(6). 745–755. 37 indexed citations

19.

Batut, Jacques, et al.. (1985). Identification of a Rhizobium meliloti pSym2011 region controlling the host specificity of root hair curling and nodulation. SPIRE - Sciences Po Institutional REpository. 89 indexed citations

20.

Debellé, Frederic, Jacques Vasse, Betty E. Terzaghi, et al.. (1985). Identification of a Rhizobium meliloti pSym2011 region controlling the host specificity of root hair curling and nodulation. Journal of Bacteriology. 164(3). 1200–1210. 81 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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