Hugues de Verdal

1.5k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Hugues de Verdal is a scholar working on Aquatic Science, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Hugues de Verdal has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aquatic Science, 13 papers in Genetics and 12 papers in Nature and Landscape Conservation. Recurrent topics in Hugues de Verdal's work include Aquaculture Nutrition and Growth (13 papers), Fish Ecology and Management Studies (11 papers) and Genetic and phenotypic traits in livestock (9 papers). Hugues de Verdal is often cited by papers focused on Aquaculture Nutrition and Growth (13 papers), Fish Ecology and Management Studies (11 papers) and Genetic and phenotypic traits in livestock (9 papers). Hugues de Verdal collaborates with scholars based in France, Malaysia and Ireland. Hugues de Verdal's co-authors include Marc Vandeputte, John Benzie, Élodie Pepey, Béatrice Chatain, Domenico Caruso, Miriam Reverter, Samira Sarter, Marine Combe, Jean‐Christophe Avarre and Laurent Pouyaud and has published in prestigious journals such as Nature Communications, PLoS ONE and Aquaculture.

In The Last Decade

Hugues de Verdal

28 papers receiving 1.1k citations

Hit Papers

Aquaculture at the crossroads of global warming and antim... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugues de Verdal France 17 467 268 259 196 165 29 1.1k
Veronika Piačková Czechia 21 478 1.0× 122 0.5× 793 3.1× 197 1.0× 164 1.0× 54 1.4k
Maixin Lu China 17 474 1.0× 141 0.5× 665 2.6× 61 0.3× 77 0.5× 66 1.2k
Giovani Sampaio Gonçalves Portugal 20 836 1.8× 47 0.2× 569 2.2× 91 0.5× 105 0.6× 71 1.2k
Zsigmond Jeney Hungary 18 1.1k 2.3× 157 0.6× 1.3k 5.2× 98 0.5× 170 1.0× 38 1.8k
Pronob Das India 16 983 2.1× 76 0.3× 772 3.0× 73 0.4× 201 1.2× 72 1.4k
Fotini Kokou Netherlands 19 807 1.7× 65 0.2× 686 2.6× 103 0.5× 45 0.3× 54 1.4k
Prapansak Srisapoome Thailand 24 822 1.8× 96 0.4× 1.2k 4.5× 86 0.4× 70 0.4× 116 1.7k
Dina Zilberg Israel 24 576 1.2× 64 0.2× 1.1k 4.2× 78 0.4× 131 0.8× 69 1.7k
George Rigos Greece 24 918 2.0× 63 0.2× 1.2k 4.7× 143 0.7× 89 0.5× 76 2.1k
M. Carla Piazzon Spain 25 678 1.5× 48 0.2× 1.3k 4.9× 114 0.6× 67 0.4× 66 1.8k

Countries citing papers authored by Hugues de Verdal

Since Specialization
Citations

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

Fields of papers citing papers by Hugues de Verdal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugues de Verdal. 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 Hugues de Verdal. The network helps show where Hugues de Verdal may publish in the future.

Co-authorship network of co-authors of Hugues de Verdal

This figure shows the co-authorship network connecting the top 25 collaborators of Hugues de Verdal. A scholar is included among the top collaborators of Hugues de Verdal 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 Hugues de Verdal. Hugues de Verdal 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.
Verdal, Hugues de, Vincent Segura, David Pot, et al.. (2024). Performance of phenomic selection in rice: Effects of population size and genotype-environment interactions on predictive ability. PLoS ONE. 19(12). e0309502–e0309502.
2.
Verdal, Hugues de, Julien Frouin, Constanza Quintero, et al.. (2023). Optimization of Multi-Generation Multi-location Genomic Prediction Models for Recurrent Genomic Selection in an Upland Rice Population. Rice. 16(1). 43–43. 2 indexed citations
3.
Barría, Agustin, John Benzie, Ross D. Houston, Dirk‐Jan de Koning, & Hugues de Verdal. (2021). Genomic Selection and Genome-wide Association Study for Feed-Efficiency Traits in a Farmed Nile Tilapia (Oreochromis niloticus) Population. Frontiers in Genetics. 12. 737906–737906. 28 indexed citations
6.
Reverter, Miriam, Samira Sarter, Domenico Caruso, et al.. (2020). Aquaculture at the crossroads of global warming and antimicrobial resistance. Nature Communications. 11(1). 1870–1870. 376 indexed citations breakdown →
7.
Taslima, Khanam, Stefanie Wehner, John B. Taggart, et al.. (2020). Sex determination in the GIFT strain of tilapia is controlled by a locus in linkage group 23. BMC Genetics. 21(1). 49–49. 29 indexed citations
8.
9.
Bartie, Kerry L., Khanam Taslima, Michaël Bekaert, et al.. (2020). Species composition in the Molobicus hybrid tilapia strain. Aquaculture. 526. 735433–735433. 15 indexed citations
10.
Pepey, Élodie, et al.. (2019). Genetic variation in wild populations and farmed stocks of Nile tilapia (<em>Oreochromis niloticus</em>) in Madagascar. Revue d’élevage et de médecine vétérinaire des pays tropicaux. 72(3). 101–106. 1 indexed citations
11.
Verdal, Hugues de, Marc Vandeputte, Wagdy Mekkawy, Béatrice Chatain, & John Benzie. (2018). Quantifying the genetic parameters of feed efficiency in juvenile Nile tilapia Oreochromis niloticus. BMC Genetics. 19(1). 105–105. 42 indexed citations
12.
Verdal, Hugues de, Hans Komen, Edwige Quillet, et al.. (2017). Improving feed efficiency in fish using selective breeding: a review. Reviews in Aquaculture. 10(4). 833–851. 141 indexed citations
13.
Verdal, Hugues de, et al.. (2016). Measuring individual feed efficiency and its correlations with performance traits in Nile tilapia, Oreochromis niloticus. Aquaculture. 468. 489–495. 46 indexed citations
14.
Costa, Corrado, Marc Vandeputte, Francesca Antonucci, et al.. (2015). Are trunk lateral line anomalies and disoriented scale patterns in European seabass (Dicentrarchus labrax) influenced by genetics?. Aquaculture. 448. 38–43. 4 indexed citations
15.
Verdal, Hugues de, et al.. (2014). Individual growth monitoring of European sea bass larvae by image analysis and microsatellite genotyping. Aquaculture. 434. 470–475. 21 indexed citations
16.
Pepey, Élodie, et al.. (2013). Temperature induced-masculinisation in the Nile tilapia causes rapid up-regulation of both dmrt1 and amh expressions. General and Comparative Endocrinology. 193. 234–242. 66 indexed citations
17.
Verdal, Hugues de, Sandrine Mignon-Grasteau, Denis Bastianelli, et al.. (2012). Reducing the environmental impact of poultry breeding by genetic selection1. Journal of Animal Science. 91(2). 613–622. 17 indexed citations
19.
Verdal, Hugues de, Agnès Narcy, Denis Bastianelli, et al.. (2011). Improving the efficiency of feed utilization in poultry by selection. 1. Genetic parameters of anatomy of the gastro-intestinal tract and digestive efficiency. BMC Genetics. 12(1). 59–59. 47 indexed citations
20.
Verdal, Hugues de, Sandrine Mignon-Grasteau, C. Jeulin, et al.. (2010). Digestive tract measurements and histological adaptation in broiler lines divergently selected for digestive efficiency. Poultry Science. 89(9). 1955–1961. 100 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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