Arnaud Hecker

2.7k total citations
41 papers, 1.7k citations indexed

About

Arnaud Hecker is a scholar working on Molecular Biology, Plant Science and Biomaterials. According to data from OpenAlex, Arnaud Hecker has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 10 papers in Plant Science and 4 papers in Biomaterials. Recurrent topics in Arnaud Hecker's work include Glutathione Transferases and Polymorphisms (12 papers), Genomics, phytochemicals, and oxidative stress (10 papers) and Plant-Microbe Interactions and Immunity (6 papers). Arnaud Hecker is often cited by papers focused on Glutathione Transferases and Polymorphisms (12 papers), Genomics, phytochemicals, and oxidative stress (10 papers) and Plant-Microbe Interactions and Immunity (6 papers). Arnaud Hecker collaborates with scholars based in France, United Kingdom and United States. Arnaud Hecker's co-authors include Nicolas Rouhier, Gilles Luquet, Patrick Forterre, Sébastien Duplessis, Cécile Lorrain, Olivier Keech, Frédéric Marin, Claude Didierjean, Hugo Germain and Sefi Raz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Arnaud Hecker

41 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Hecker France 24 969 517 312 147 125 41 1.7k
Per Winge Norway 37 2.2k 2.3× 1.6k 3.0× 376 1.2× 76 0.5× 428 3.4× 77 3.8k
T. Xiang China 22 522 0.5× 1.2k 2.4× 91 0.3× 109 0.7× 422 3.4× 61 2.3k
Yusuke Matsuda Japan 28 1.4k 1.4× 545 1.1× 365 1.2× 46 0.3× 473 3.8× 106 2.6k
Aurelio Serrano Spain 27 1.2k 1.3× 380 0.7× 53 0.2× 77 0.5× 190 1.5× 92 1.9k
Wei Shi China 21 886 0.9× 553 1.1× 81 0.3× 45 0.3× 129 1.0× 107 1.5k
Sheila Podell United States 32 1.6k 1.7× 295 0.6× 66 0.2× 220 1.5× 1.1k 8.5× 50 2.9k
Tsuyoshi Muramatsu Japan 26 708 0.7× 302 0.6× 109 0.3× 91 0.6× 189 1.5× 77 2.1k
Takao Ojima Japan 28 1.2k 1.2× 324 0.6× 205 0.7× 224 1.5× 189 1.5× 129 2.6k
Manfredo J. Seufferheld United States 22 759 0.8× 341 0.7× 45 0.1× 60 0.4× 121 1.0× 32 1.4k
John Love United Kingdom 27 1.0k 1.1× 708 1.4× 20 0.1× 288 2.0× 99 0.8× 72 2.0k

Countries citing papers authored by Arnaud Hecker

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Hecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Hecker

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Hecker. A scholar is included among the top collaborators of Arnaud Hecker 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 Arnaud Hecker. Arnaud Hecker 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.
Fraichard, Stéphane, Thomas Chertemps, Arnaud Hecker, et al.. (2022). Expression Patterns of Drosophila Melanogaster Glutathione Transferases. Insects. 13(7). 612–612. 12 indexed citations
2.
Guillen, Karine de, Cécile Lorrain, Pascale Tsan, et al.. (2019). Structural genomics applied to the rust fungus Melampsora larici-populina reveals two candidate effector proteins adopting cystine knot and NTF2-like protein folds. Scientific Reports. 9(1). 18084–18084. 19 indexed citations
3.
Law, Simon R., Mathieu Schwartz, Kevin Robe, et al.. (2019). Functional, Structural and Biochemical Features of Plant Serinyl-Glutathione Transferases. Frontiers in Plant Science. 10. 608–608. 83 indexed citations
4.
Lorrain, Cécile, Clémence Marchal, Stéphane Hacquard, et al.. (2018). The Rust Fungus Melampsora larici-populina Expresses a Conserved Genetic Program and Distinct Sets of Secreted Protein Genes During Infection of Its Two Host Plants, Larch and Poplar. Molecular Plant-Microbe Interactions. 31(7). 695–706. 32 indexed citations
6.
Schwartz, Mathieu, Claude Didierjean, Arnaud Hecker, et al.. (2016). Crystal Structure of Saccharomyces cerevisiae ECM4, a Xi-Class Glutathione Transferase that Reacts with Glutathionyl-(hydro)quinones. PLoS ONE. 11(10). e0164678–e0164678. 8 indexed citations
7.
8.
Pêtre, Benjamin, Arnaud Hecker, Hugo Germain, et al.. (2016). The Poplar Rust-Induced Secreted Protein (RISP) Inhibits the Growth of the Leaf Rust Pathogen Melampsora larici-populina and Triggers Cell Culture Alkalinisation. Frontiers in Plant Science. 7. 97–97. 12 indexed citations
9.
Hecker, Arnaud, Mélanie Morel‐Rouhier, Francis Colin, et al.. (2015). The GSTome Reflects the Chemical Environment of White-Rot Fungi. PLoS ONE. 10(10). e0137083–e0137083. 17 indexed citations
10.
Koh, Cha San, Benjamin Pêtre, Sébastien Duplessis, et al.. (2014). The poplar Phi class glutathione transferase: expression, activity and structure of GSTF1. Frontiers in Plant Science. 5. 712–712. 35 indexed citations
11.
Brouwer, Bastiaan, et al.. (2014). The still mysterious roles of cysteine-containing glutathione transferases in plants. Frontiers in Pharmacology. 5. 192–192. 104 indexed citations
12.
Thiaville, Patrick C., Basma Yacoubi, Arnaud Hecker, et al.. (2014). Cross Kingdom Functional Conservation of the Core Universally Conserved Threonylcarbamoyladenosine tRNA Synthesis Enzymes. Eukaryotic Cell. 13(9). 1222–1231. 35 indexed citations
13.
Hecker, Arnaud, et al.. (2013). Functional assignment of KEOPS/EKC complex subunits in the biosynthesis of the universal t 6 A tRNA modification. Nucleic Acids Research. 41(20). 9484–9499. 61 indexed citations
14.
Crozat, Estelle, Arnaud Hecker, Joseph Bareille, et al.. (2012). In vitro biosynthesis of a universal t6A tRNA modification in Archaea and Eukarya. Nucleic Acids Research. 41(3). 1953–1964. 69 indexed citations
15.
Urban, Alan, et al.. (2009). Deficiency of the tRNA Tyr :Ψ35-synthase aPus7 in Archaea of the Sulfolobales order might be rescued by the H/ACA sRNA-guided machinery. Nucleic Acids Research. 37(4). 1308–1322. 19 indexed citations
16.
Oberto, Jacques, Arnaud Hecker, Francesca Farina, et al.. (2009). Qri7/OSGEPL, the mitochondrial version of the universal Kae1/YgjD protein, is essential for mitochondrial genome maintenance. Nucleic Acids Research. 37(16). 5343–5352. 53 indexed citations
17.
Gras, Stéphanie, Bernard Fernandez, Philippe Carpentier, et al.. (2007). Structural insights into a new homodimeric self‐activated GTPase family. EMBO Reports. 8(6). 569–575. 42 indexed citations
18.
Marin, Frédéric, Reinout Amons, Nathalie Guichard, et al.. (2005). Caspartin and Calprismin, Two Proteins of the Shell Calcitic Prisms of the Mediterranean Fan Mussel Pinna nobilis. Journal of Biological Chemistry. 280(40). 33895–33908. 122 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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