Jean-Marc Audergon

520 total citations
20 papers, 381 citations indexed

About

Jean-Marc Audergon is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jean-Marc Audergon has authored 20 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 7 papers in Cell Biology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jean-Marc Audergon's work include Plant Physiology and Cultivation Studies (8 papers), Plant Pathogens and Fungal Diseases (7 papers) and Horticultural and Viticultural Research (6 papers). Jean-Marc Audergon is often cited by papers focused on Plant Physiology and Cultivation Studies (8 papers), Plant Pathogens and Fungal Diseases (7 papers) and Horticultural and Viticultural Research (6 papers). Jean-Marc Audergon collaborates with scholars based in France, Morocco and Tunisia. Jean-Marc Audergon's co-authors include Barbara Gouble, Sylvie Bureau, M. Reich, Jordi García-Más, Pere Arús, Mourad Mnejja, Catherine M.G.C. Renard, Dominique Bertrand, David Ruiz and Hédia Bourguiba and has published in prestigious journals such as Food Chemistry, Journal of Experimental Botany and Plant Physiology and Biochemistry.

In The Last Decade

Jean-Marc Audergon

19 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean-Marc Audergon France 9 263 91 72 52 49 20 381
Rocco Perniola Italy 13 360 1.4× 68 0.7× 109 1.5× 82 1.6× 254 5.2× 37 473
Puwen Song China 10 253 1.0× 86 0.9× 99 1.4× 7 0.1× 10 0.2× 26 335
Lidia Lozano Italy 8 321 1.2× 33 0.4× 294 4.1× 164 3.2× 66 1.3× 16 495
Ahmet Şahi̇n Türkiye 13 201 0.8× 8 0.1× 88 1.2× 21 0.4× 40 0.8× 62 382
Tatsushi Ogata Japan 9 336 1.3× 42 0.5× 152 2.1× 15 0.3× 34 0.7× 28 370
Macarena Farcuh United States 11 400 1.5× 18 0.2× 151 2.1× 70 1.3× 65 1.3× 21 483
P. S. Ritschel Brazil 10 274 1.0× 13 0.1× 73 1.0× 30 0.6× 88 1.8× 39 352
René Siret France 13 573 2.2× 22 0.2× 98 1.4× 77 1.5× 501 10.2× 25 648
Jiankun Xie China 11 215 0.8× 15 0.2× 87 1.2× 12 0.2× 13 0.3× 26 291
Yoshie Motomura Japan 13 392 1.5× 28 0.3× 87 1.2× 86 1.7× 110 2.2× 48 456

Countries citing papers authored by Jean-Marc Audergon

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marc Audergon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Marc Audergon. 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 Jean-Marc Audergon. The network helps show where Jean-Marc Audergon may publish in the future.

Co-authorship network of co-authors of Jean-Marc Audergon

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Marc Audergon. A scholar is included among the top collaborators of Jean-Marc Audergon 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 Jean-Marc Audergon. Jean-Marc Audergon 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.
Bergheaud, Valérie, Jean-Marc Audergon, Jérôme Duminil, et al.. (2025). Organization of plant Biological Resource Centers for research in France: History, evolution and current status. Agritrop (Cirad). 78–90. 2 indexed citations
2.
Alami, Mohammed, et al.. (2025). Genetic diversity assessment towards core collection construction of Moroccan apricot (Prunus armeniaca L.) germplasm using genomic SSR markers. South African Journal of Botany. 180. 21–34. 1 indexed citations
3.
Segura, Vincent, et al.. (2025). Multi-environment GWAS uncovers markers associated to biotic stress response and genotype-by-environment interactions in stone fruit trees. Horticulture Research. 12(7). uhaf088–uhaf088. 3 indexed citations
4.
Ribeyre, Fabienne, et al.. (2024). Dare to be resilient: the key to future pesticide-free orchards?. Journal of Experimental Botany. 75(13). 3835–3848.
5.
Candresse, Thierry, et al.. (2022). The Molecular Characterization of a New Prunus-Infecting Cheravirus and Complete Genome Sequence of Stocky Prune Virus. Viruses. 14(11). 2325–2325. 2 indexed citations
6.
Audergon, Jean-Marc, et al.. (2022). Phenolic profiling in ten apricot clones using an efficient method (Thioacidolysis-UFLC) and determination of their antioxidant potential. Food Bioscience. 49. 101880–101880. 5 indexed citations
7.
Bourguiba, Hédia, et al.. (2021). Chloroplastic and nuclear diversity of endemic Prunus armeniaca L. species in the oasis agroecosystems. Genetica. 149(4). 239–251. 2 indexed citations
8.
9.
Cueto, Jorge Del, Agnieszka Kosińska, Julien Héritier, et al.. (2020). Phenolic compounds identified in apricot branch tissues and their role in the control of Monilinia laxa growth. Scientia Horticulturae. 275. 109707–109707. 6 indexed citations
10.
Gouble, Barbara, Sylvie Bureau, Timothée Flutre, et al.. (2020). Adoption and Optimization of Genomic Selection To Sustain Breeding for Apricot Fruit Quality. G3 Genes Genomes Genetics. 10(12). 4513–4529. 19 indexed citations
11.
Krichen, Lamia, et al.. (2020). Self-(in)compatibility analysis of apricot germplasm in Tunisia: S-RNase allele identification, S-genotype determination and crop history evolution. Scientia Horticulturae. 276. 109758–109758. 5 indexed citations
12.
Brun, Laurent, et al.. (2019). Future development of apricot blossom blight under climate change in Southern France. European Journal of Agronomy. 112. 125960–125960. 12 indexed citations
13.
Bourguiba, Hédia, et al.. (2013). Genetic relationships between local North African apricot (Prunus armeniaca L.) germplasm and recently introduced varieties. Scientia Horticulturae. 152. 61–69. 15 indexed citations
14.
Brun, Laurent, et al.. (2011). Quelle sélection fruitière pour une production durable, à faible niveau d’intrants ? Méthodologie pour un réseau de sélection variétale décentralisée.. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
15.
Bourguiba, Hédia, Bouchaïb Khadari, Lamia Krichen, et al.. (2010). Grafting versus seed propagated apricot populations: two main gene pools in Tunisia evidenced by SSR markers and model-based Bayesian clustering. Genetica. 138(9-10). 1023–1032. 19 indexed citations
16.
Bureau, Sylvie, M. Reich, Michel Renard, et al.. (2010). Pomological and Nutraceutical Properties in Apricot Fruit: Cultivation Systems and Cold Storage Fruit Management. Plant Foods for Human Nutrition. 65(2). 112–120. 44 indexed citations
17.
Mnejja, Mourad, Jordi García-Más, Jean-Marc Audergon, & Pere Arús. (2010). Prunus microsatellite marker transferability across rosaceous crops. Tree Genetics & Genomes. 6(5). 689–700. 80 indexed citations
18.
Bureau, Sylvie, David Ruiz, M. Reich, et al.. (2008). Rapid and non-destructive analysis of apricot fruit quality using FT-near-infrared spectroscopy. Food Chemistry. 113(4). 1323–1328. 114 indexed citations
19.
Gouble, Barbara, et al.. (2006). Méthodes d’échantillonnage de fruits appliquées à l’évaluation de la qualité de l’abricot. Fruits. 61(2). 135–147. 5 indexed citations
20.
Mbéguié‐A‐Mbéguié, Didier, et al.. (2002). Two expansin cDNAs from Prunus armeniaca expressed during fruit ripening are differently regulated by ethylene. Plant Physiology and Biochemistry. 40(5). 445–452. 27 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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