Jacques Bordes

1.1k total citations
18 papers, 802 citations indexed

About

Jacques Bordes is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Jacques Bordes has authored 18 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 8 papers in Genetics and 4 papers in Agronomy and Crop Science. Recurrent topics in Jacques Bordes's work include Genetics and Plant Breeding (13 papers), Wheat and Barley Genetics and Pathology (10 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Jacques Bordes is often cited by papers focused on Genetics and Plant Breeding (13 papers), Wheat and Barley Genetics and Pathology (10 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Jacques Bordes collaborates with scholars based in France, Morocco and Australia. Jacques Bordes's co-authors include François Balfourier, Catherine Ravel, Gilles Charmet, Jacques Le Gouis, François‐Xavier Oury, Pierre Martre, Gérard Branlard, Emmanuel Heumez, Anne Plessis and Vincent Allard and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Agricultural and Food Chemistry and Journal of Experimental Botany.

In The Last Decade

Jacques Bordes

18 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Bordes France 16 738 340 181 83 75 18 802
Shoufen Dai China 16 592 0.8× 160 0.5× 64 0.4× 120 1.4× 79 1.1× 52 640
F. Azanza United States 11 599 0.8× 265 0.8× 190 1.0× 50 0.6× 54 0.7× 15 657
M. Perenzin Italy 13 565 0.8× 129 0.4× 231 1.3× 90 1.1× 31 0.4× 20 611
A. R. Schlatter United States 8 931 1.3× 385 1.1× 114 0.6× 79 1.0× 19 0.3× 9 962
Z. Stehno Czechia 12 444 0.6× 128 0.4× 144 0.8× 24 0.3× 34 0.5× 46 504
Hüsnü Aktaş Türkiye 8 587 0.8× 202 0.6× 161 0.9× 34 0.4× 21 0.3× 40 639
C. S. van Deventer South Africa 9 565 0.8× 144 0.4× 144 0.8× 26 0.3× 33 0.4× 27 602
Ana Luísa Garcia‐Oliveira Nigeria 15 713 1.0× 191 0.6× 127 0.7× 59 0.7× 50 0.7× 37 787
Valiollah Mohammadi Iran 14 897 1.2× 231 0.7× 316 1.7× 121 1.5× 14 0.2× 43 981
Yuye Wu China 8 448 0.6× 274 0.8× 119 0.7× 164 2.0× 49 0.7× 12 612

Countries citing papers authored by Jacques Bordes

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Bordes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Bordes

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

All Works

18 of 18 papers shown
1.
Bordes, Jacques, et al.. (2021). Association between SNP Markers and 11 Vitamin Contents in Grains of a Worldwide Bread Wheat Core Collection. Journal of Agricultural and Food Chemistry. 69(14). 4307–4318. 2 indexed citations
2.
Chenu, Karine, Arnaud Gauffreteau, Renaud Rincent, et al.. (2017). Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection. Field Crops Research. 214. 331–340. 20 indexed citations
3.
Charmet, Gilles, Eric Storlie, Valérie Laurent, et al.. (2014). Genome-wide prediction of three important traits in bread wheat. Molecular Breeding. 34(4). 1843–1852. 48 indexed citations
4.
Bogard, Matthieu, Catherine Ravel, Etienne Paux, et al.. (2014). Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model. Journal of Experimental Botany. 65(20). 5849–5865. 59 indexed citations
5.
Wilhelm, Edward P., Margaret I. Boulton, Nadia Al-Kaff, et al.. (2013). Rht-1 and Ppd-D1 associations with height, GA sensitivity, and days to heading in a worldwide bread wheat collection. Theoretical and Applied Genetics. 126(9). 2233–2243. 55 indexed citations
6.
Plessis, Anne, Catherine Ravel, Jacques Bordes, François Balfourier, & Pierre Martre. (2013). Association study of wheat grain protein composition reveals that gliadin and glutenin composition are trans-regulated by different chromosome regions. Journal of Experimental Botany. 64(12). 3627–3644. 83 indexed citations
7.
Bordes, Jacques, Emmanuel Heumez, Bernard Rolland, et al.. (2013). Genome-wide association mapping of three important traits using bread wheat elite breeding populations. Molecular Breeding. 33(4). 755–768. 45 indexed citations
8.
Bordes, Jacques, Catherine Ravel, Olivier Gardet, et al.. (2012). Genomic regions associated with the nitrogen limitation response revealed in a global wheat core collection. Theoretical and Applied Genetics. 126(3). 805–822. 46 indexed citations
9.
Ravel, Catherine, Mireille Dardevet, Fanny Leenhardt, et al.. (2012). Improving the yellow pigment content of bread wheat flour by selecting the three homoeologous copies of Psy1. Molecular Breeding. 31(1). 87–99. 19 indexed citations
10.
Gouis, Jacques Le, Jacques Bordes, Catherine Ravel, et al.. (2011). Genome-wide association analysis to identify chromosomal regions determining components of earliness in wheat. Theoretical and Applied Genetics. 124(3). 597–611. 84 indexed citations
11.
Bordes, Jacques, et al.. (2011). Use of a global wheat core collection for association analysis of flour and dough quality traits. Journal of Cereal Science. 54(1). 137–147. 67 indexed citations
13.
Bordes, Jacques, et al.. (2008). Agronomic characteristics, grain quality and flour rheology of 372 bread wheats in a worldwide core collection. Journal of Cereal Science. 48(3). 569–579. 123 indexed citations
14.
Galláis, A. & Jacques Bordes. (2007). The Use of Doubled Haploids in Recurrent Selection and Hybrid Development in Maize. Crop Science. 47(S3). 20 indexed citations
15.
Bordes, Jacques, et al.. (2006). Doubled haploid versus S1 family recurrent selection for testcross performance in a maize population. Theoretical and Applied Genetics. 112(6). 1063–1072. 17 indexed citations
16.
Bordes, Jacques, et al.. (2006). Doubled-haploid versus single-seed descent and S1-family variation for testcross performance in a maize population. Euphytica. 154(1-2). 41–51. 16 indexed citations
17.
Bordes, Jacques, et al.. (1998). Genetic improvement of anther culture response in maize: relationships with molecular, Mendelian and agronomic traits. Theoretical and Applied Genetics. 97(4). 520–525. 14 indexed citations
18.
Bordes, Jacques, et al.. (1997). Haplodiploidization of maize (Zea mays L) through induced gynogenesis assisted by glossy markers and its use in breeding. Agronomie. 17(5). 291–297. 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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