Alain Baranger

3.7k total citations
47 papers, 2.4k citations indexed

About

Alain Baranger is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Alain Baranger has authored 47 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Alain Baranger's work include Genetic and Environmental Crop Studies (29 papers), Plant Disease Resistance and Genetics (18 papers) and Plant Pathogens and Resistance (17 papers). Alain Baranger is often cited by papers focused on Genetic and Environmental Crop Studies (29 papers), Plant Disease Resistance and Genetics (18 papers) and Plant Pathogens and Resistance (17 papers). Alain Baranger collaborates with scholars based in France, Morocco and United States. Alain Baranger's co-authors include Marie‐Laure Pilet‐Nayel, Anne‐Marie Chèvre, Frédérique Eber, Clarice J. Coyne, Michel Renard, Grégoire Aubert, Isabelle Lejeune-Hénaut, Rebecca J. McGee, Judith Burstin and F. J. Muehlbauer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and New Phytologist.

In The Last Decade

Alain Baranger

47 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alain Baranger France 30 2.3k 505 401 166 159 47 2.4k
Alberto Cenci France 29 1.9k 0.9× 839 1.7× 491 1.2× 95 0.6× 179 1.1× 51 2.3k
Wenxue Zhai China 21 2.1k 0.9× 823 1.6× 468 1.2× 141 0.8× 192 1.2× 64 2.2k
Gerhard Wenzel Germany 27 1.4k 0.6× 643 1.3× 374 0.9× 138 0.8× 70 0.4× 45 1.6k
Glyn Jenkins United Kingdom 21 1.7k 0.7× 961 1.9× 307 0.8× 97 0.6× 403 2.5× 37 2.0k
Yang Yen United States 20 1.6k 0.7× 410 0.8× 349 0.9× 240 1.4× 71 0.4× 57 1.7k
Oscar Riera‐Lizarazu United States 27 2.4k 1.0× 783 1.6× 1.1k 2.7× 78 0.5× 153 1.0× 71 2.7k
Shivali Sharma India 23 1.9k 0.8× 277 0.5× 322 0.8× 72 0.4× 125 0.8× 105 2.0k
Volker Mohler Germany 30 2.7k 1.2× 340 0.7× 812 2.0× 283 1.7× 67 0.4× 73 2.8k
Ana M. Casas Spain 29 1.9k 0.8× 484 1.0× 642 1.6× 80 0.5× 68 0.4× 77 2.1k
J. E. Schmid Switzerland 20 1.8k 0.8× 822 1.6× 183 0.5× 91 0.5× 51 0.3× 38 2.0k

Countries citing papers authored by Alain Baranger

Since Specialization
Citations

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

Fields of papers citing papers by Alain Baranger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alain Baranger

This figure shows the co-authorship network connecting the top 25 collaborators of Alain Baranger. A scholar is included among the top collaborators of Alain Baranger 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 Alain Baranger. Alain Baranger 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.
Bonhomme, Maxime, María Inés Fariello, Ahmed Hajri, et al.. (2019). A local score approach improves GWAS resolution and detects minor QTL: application to Medicago truncatula quantitative disease resistance to multiple Aphanomyces euteiches isolates. Heredity. 123(4). 517–531. 34 indexed citations
2.
Desgroux, Aurore, Henri Miteul, Grégoire Aubert, et al.. (2018). Comparative Genome-Wide-Association Mapping Identifies Common Loci Controlling Root System Architecture and Resistance to Aphanomyces euteiches in Pea. Frontiers in Plant Science. 8. 2195–2195. 36 indexed citations
3.
Moussart, Anne, et al.. (2018). Genetic and Pathogenicity Diversity of Aphanomyces euteiches Populations From Pea-Growing Regions in France. Frontiers in Plant Science. 9. 1673–1673. 22 indexed citations
4.
Boutet, Gilles, Matthieu Falque, Pierre Peterlongo, et al.. (2016). SNP discovery and genetic mapping using genotyping by sequencing of whole genome genomic DNA from a pea RIL population. BMC Genomics. 17(1). 121–121. 56 indexed citations
5.
Desgroux, Aurore, Grégoire Aubert, Nadim Tayeh, et al.. (2016). Genome-wide association mapping of partial resistance to Aphanomyces euteiches in pea. BMC Genomics. 17(1). 124–124. 64 indexed citations
6.
Lesné, Angélique, G.L. Roy, Gilles Boutet, et al.. (2015). Validation of QTL for resistance to Aphanomyces euteiches in different pea genetic backgrounds using near-isogenic lines. Theoretical and Applied Genetics. 128(11). 2273–2288. 51 indexed citations
7.
Bonhomme, Maxime, Olivier André, Yacine Badis, et al.. (2013). High‐density genome‐wide association mapping implicates an F‐box encoding gene in Medicago truncatula resistance to Aphanomyces euteiches. New Phytologist. 201(4). 1328–1342. 66 indexed citations
8.
Hamon, Céline, Clarice J. Coyne, Rebecca J. McGee, et al.. (2013). QTL meta-analysis provides a comprehensive view of loci controlling partial resistance to Aphanomyces euteichesin four sources of resistance in pea. BMC Plant Biology. 13(1). 45–45. 68 indexed citations
9.
Avia, Komlan, Marie‐Laure Pilet‐Nayel, Nasser Bahrman, et al.. (2013). Genetic variability and QTL mapping of freezing tolerance and related traits in Medicago truncatula. Theoretical and Applied Genetics. 126(9). 2353–2366. 29 indexed citations
10.
Legrand, Sylvain, Christelle Blassiau, Véronique Fontaine, et al.. (2013). Combining gene expression and genetic analyses to identify candidate genes involved in cold responses in pea. Journal of Plant Physiology. 170(13). 1148–1157. 17 indexed citations
11.
Hamon, Céline, Alain Baranger, Henri Miteul, et al.. (2009). A complex genetic network involving a broad-spectrum locus and strain-specific loci controls resistance to different pathotypes of Aphanomyces euteiches in Medicago truncatula. Theoretical and Applied Genetics. 120(5). 955–970. 24 indexed citations
12.
Pilet‐Nayel, Marie‐Laure, Jean‐Marie Prosperi, Céline Hamon, et al.. (2009). AER1, a Major Gene Conferring Resistance to Aphanomyces euteiches in Medicago truncatula. Phytopathology. 99(2). 203–208. 32 indexed citations
13.
Djébali, Naceur, Alain Jauneau, Carine Ameline-Torregrosa, et al.. (2009). Partial Resistance ofMedicago truncatulatoAphanomyces euteichesIs Associated with Protection of the Root Stele and Is Controlled by a Major QTL Rich in Proteasome-Related Genes. Molecular Plant-Microbe Interactions. 22(9). 1043–1055. 71 indexed citations
14.
Lejeune-Hénaut, Isabelle, Éric Hanocq, Véronique Fontaine, et al.. (2008). The flowering locus Hr colocalizes with a major QTL affecting winter frost tolerance in Pisum sativum L.. Theoretical and Applied Genetics. 116(8). 1105–1116. 85 indexed citations
15.
Deniot, Gwenaëlle, et al.. (2007). Candidate genes for quantitative resistance to Mycosphaerella pinodes in pea (Pisum sativum L.). Theoretical and Applied Genetics. 114(6). 971–984. 61 indexed citations
16.
Loridon, Karine, Kevin McPhee, Pierre Dubreuil, et al.. (2005). Microsatellite marker polymorphism and mapping in pea (Pisum sativum L.). Theoretical and Applied Genetics. 111(6). 1022–1031. 207 indexed citations
17.
Baranger, Alain, Grégoire Aubert, Gemma Arnau, et al.. (2004). Genetic diversity within Pisum sativum using protein- and PCR-based markers. Theoretical and Applied Genetics. 108(7). 1309–1321. 126 indexed citations
18.
Deniot, Gwenaëlle, et al.. (2004). Mapping of quantitative trait loci for partial resistance to Mycosphaerella pinodes in pea (Pisum sativum L.), at the seedling and adult plant stages. Theoretical and Applied Genetics. 108(7). 1322–1334. 91 indexed citations
19.
Pilet‐Nayel, Marie‐Laure, et al.. (2002). Quantitative trait loci for partial resistance to Aphanomyces root rot in pea. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
20.
Baranger, Alain, Anne‐Marie Chèvre, Frédérique Eber, & Michel Renard. (1995). Effect of oilseed rape genotype on the spontaneous hybridization rate with a weedy species:an assessment of transgene dispersal. Theoretical and Applied Genetics. 91-91(6-7). 956–963. 53 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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