Stéphane Lafarge

1.1k total citations
17 papers, 830 citations indexed

About

Stéphane Lafarge is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Stéphane Lafarge has authored 17 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in Stéphane Lafarge's work include Wheat and Barley Genetics and Pathology (10 papers), Plant nutrient uptake and metabolism (6 papers) and Crop Yield and Soil Fertility (5 papers). Stéphane Lafarge is often cited by papers focused on Wheat and Barley Genetics and Pathology (10 papers), Plant nutrient uptake and metabolism (6 papers) and Crop Yield and Soil Fertility (5 papers). Stéphane Lafarge collaborates with scholars based in France, United States and Morocco. Stéphane Lafarge's co-authors include Jacques Le Gouis, Yves‐Jean Bignon, Sébastien Praud, Fabien Cormier, Pierre Dubreuil, Marc Ferrara, Katia Beauchêne, Sébastien Faure, Yohan Bignon and Emmanuel Heumez and has published in prestigious journals such as Nucleic Acids Research, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Stéphane Lafarge

16 papers receiving 813 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Lafarge France 12 541 293 267 208 84 17 830
Airong Li China 17 352 0.7× 323 1.1× 370 1.4× 75 0.4× 35 0.4× 34 883
Ton Gloudemans Netherlands 16 529 1.0× 241 0.8× 56 0.2× 144 0.7× 20 0.2× 21 849
Haixia Li China 14 320 0.6× 369 1.3× 431 1.6× 40 0.2× 43 0.5× 31 828
Lian Lian China 16 326 0.6× 318 1.1× 262 1.0× 24 0.1× 87 1.0× 51 807
Weihua Liu China 26 1.5k 2.8× 326 1.1× 518 1.9× 145 0.7× 9 0.1× 106 1.7k
Carlos S. Busso United States 17 953 1.8× 516 1.8× 368 1.4× 98 0.5× 93 1.1× 20 1.3k
Wenxue Ye China 21 1.0k 1.9× 575 2.0× 183 0.7× 34 0.2× 18 0.2× 43 1.4k
Amanda Bortolini Silveira France 10 643 1.2× 457 1.6× 117 0.4× 17 0.1× 49 0.6× 12 858
Wenxi Wang China 11 263 0.5× 373 1.3× 82 0.3× 54 0.3× 12 0.1× 25 638
Erin E. Sparks United States 17 569 1.1× 383 1.3× 59 0.2× 69 0.3× 34 0.4× 34 886

Countries citing papers authored by Stéphane Lafarge

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Lafarge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Lafarge

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

All Works

17 of 17 papers shown
1.
Shakir, Sara, Sylvaine Boissinot, Thierry Michon, Stéphane Lafarge, & Syed Shan‐e‐Ali Zaidi. (2024). Beyond movement: expanding functional landscape of luteovirus movement proteins. Trends in Plant Science. 29(12). 1331–1341.
2.
Beauchêne, Katia, Jean‐Pierre Cohan, Emmanuel Heumez, et al.. (2023). Genetic regions determine tolerance to nitrogen deficiency in European elite bread wheats grown under contrasting nitrogen stress scenarios. Theoretical and Applied Genetics. 136(11). 218–218. 2 indexed citations
3.
Lafarge, Stéphane, et al.. (2022). Identification of QTLs affecting post-anthesis heat stress responses in European bread wheat. Theoretical and Applied Genetics. 135(3). 947–964. 19 indexed citations
4.
Roumet, Pierre, Christophe Salon, Christian Jeudy, et al.. (2022). Genetic Analysis of Platform-Phenotyped Root System Architecture of Bread and Durum Wheat in Relation to Agronomic Traits. Frontiers in Plant Science. 13. 19 indexed citations
5.
Rincent, Renaud, Matthieu Bogard, Stéphane Lafarge, et al.. (2019). Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.). Theoretical and Applied Genetics. 132(10). 2859–2880. 40 indexed citations
6.
Bogard, Matthieu, et al.. (2018). Genome‐wide association analysis of resistance to wheat spindle streak mosaic virus in bread wheat. Plant Pathology. 68(3). 609–616. 9 indexed citations
7.
Afonso, Marcos Rodrigues Amorim, Antoine Bénard, Anthony Chapron, et al.. (2017). Les soins primaires : une définition du champ pour développer la recherche. Revue d Épidémiologie et de Santé Publique. 66(2). 157–162. 3 indexed citations
8.
Huet, Sylvie, Arnaud Gauffreteau, Renaud Rincent, et al.. (2017). Whole-genome prediction of reaction norms to environmental stress in bread wheat (Triticum aestivum L.) by genomic random regression. Field Crops Research. 216. 32–41. 53 indexed citations
9.
Cormier, Fabien, Catherine Ravel, Jacques Le Gouis, et al.. (2015). Detection of NAM-A1 Natural Variants in Bread Wheat Reveals Differences in Haplotype Distribution between a Worldwide Core Collection and European Elite Germplasm. Agronomy. 5(2). 143–151. 21 indexed citations
10.
Cormier, Fabien, Jacques Le Gouis, Pierre Dubreuil, Stéphane Lafarge, & Sébastien Praud. (2014). A genome-wide identification of chromosomal regions determining nitrogen use efficiency components in wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 127(12). 2679–2693. 75 indexed citations
11.
Cormier, Fabien, Sébastien Faure, Pierre Dubreuil, et al.. (2013). A multi-environmental study of recent breeding progress on nitrogen use efficiency in wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 126(12). 3035–3048. 133 indexed citations
12.
Quraishi, Umar Masood, Michaël Abrouk, Florent Murat, et al.. (2010). Cross‐genome map based dissection of a nitrogen use efficiency ortho‐metaQTL in bread wheat unravels concerted cereal genome evolution. The Plant Journal. 65(5). 745–756. 132 indexed citations
13.
Lafarge, Stéphane. (2003). Characterization of Arabidopsis thaliana ortholog of the human breast cancer susceptibility gene 1: AtBRCA1, strongly induced by gamma rays. Nucleic Acids Research. 31(4). 1148–1155. 79 indexed citations
14.
Lafarge, Stéphane, et al.. (2002). Dominant-negative activity of a Brca1 truncation mutant: Effects on proliferation, tumorigenicity in vivo, and chemosensitivity in a mouse ovarian cancer cell line. International Journal of Oncology. 20(4). 845–53. 52 indexed citations
15.
Lafarge, Stéphane, et al.. (2001). Molecular pathways involved in response to ionizing radiation of ID-8 mouse ovarian cancer cells expressing exogenous full-length Brca1 or truncated Brca1 mutant. International Journal of Oncology. 19(3). 599–607. 4 indexed citations
16.
Lafarge, Stéphane, et al.. (2001). Inhibition of BRCA1 leads to increased chemoresistance to microtubule-interfering agents, an effect that involves the JNK pathway. Oncogene. 20(45). 6597–6606. 143 indexed citations
17.
Lafarge, Stéphane, et al.. (2000). Real-Time PCR Quantification of Full-Length and Exon 11 Spliced BRCA1 Transcripts in Human Breast Cancer Cell Lines. Biochemical and Biophysical Research Communications. 274(1). 73–78. 46 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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