Didier Viala

1.2k total citations
41 papers, 878 citations indexed

About

Didier Viala is a scholar working on Molecular Biology, Nutrition and Dietetics and Animal Science and Zoology. According to data from OpenAlex, Didier Viala has authored 41 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Nutrition and Dietetics and 8 papers in Animal Science and Zoology. Recurrent topics in Didier Viala's work include Meat and Animal Product Quality (8 papers), Fatty Acid Research and Health (7 papers) and Muscle metabolism and nutrition (5 papers). Didier Viala is often cited by papers focused on Meat and Animal Product Quality (8 papers), Fatty Acid Research and Health (7 papers) and Muscle metabolism and nutrition (5 papers). Didier Viala collaborates with scholars based in France, Morocco and Portugal. Didier Viala's co-authors include Christophe Chambon, Michel Hébraud, Jean‐Louis Lamaison, Jean‐Michel Besle, Philippe Pradel, Christine Urbano, Didier Fraisse, Sophie Meillon, Pascal Schlich and Laëtitia Théron and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Didier Viala

39 papers receiving 860 citations

Peers

Didier Viala

ASZ

Martine Schroyen Belgium

Tuomo Tupasela Finland

Flavio Tidona Italy

Edyta Juszczuk‐Kubiak Poland

Xiaoyan Zhu China

Yeong-Hsiang Cheng Taiwan

Severino Segato Italy

Huiyi Cai China

Fugui Yin China

José Marı́a Zumalacárregui Spain

Martine Schroyen Belgium

Didier Viala

384 ×1.3

183 ×0.7

436 ×2.1

ASZ

129 ×1.0

92 ×0.8

Citations per year, relative to Didier Viala Didier Viala (= 1×) peers Martine Schroyen

Countries citing papers authored by Didier Viala

Since Specialization

Citations

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

Fields of papers citing papers by Didier Viala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Viala

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

All Works

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20 of 20 papers shown

Bernard, Laurence, et al.. (2024). Polar lipids and proteins in milk fat globule membranes as players in spontaneous lipolysis in cow’s milk. Food Chemistry. 471. 142628–142628. 1 indexed citations

Bonnet, Muriel, Didier Viala, Sébastien Dejean, et al.. (2024). Citrus pectin modulates chicken peripheral blood mononuclear cell proteome in vitro. Poultry Science. 103(12). 104293–104293. 1 indexed citations

Ceciliani, Fabrizio, Didier Viala, Sébastien Dejean, et al.. (2024). Conjugated linoleic acid (CLA) modulates bovine peripheral blood mononuclear cells (PBMC) proteome in vitro. Journal of Proteomics. 304. 105232–105232. 1 indexed citations

Monteiro, Ricardo, Ingrid Chafsey, Sabine Léroy, et al.. (2023). Specific Proteomic Identification of Collagen-Binding Proteins in Escherichia coli O157:H7: Characterisation of OmpA as a Potent Vaccine Antigen. Cells. 12(12). 1634–1634. 3 indexed citations

Bernard, Laurence, et al.. (2023). Milk and plasma proteomes from cows facing diet-induced milk fat depression are related to immunity, lipid metabolism and inflammation. animal. 17(6). 100822–100822. 5 indexed citations

Bernard, Laurence, et al.. (2023). Protein signatures of spontaneous lipolysis and lipoprotein lipase activity in cow's milk. Journal of Proteomics. 285. 104951–104951. 8 indexed citations

Hammon, H.M., Laura A. Vogel, Didier Viala, et al.. (2022). Plasma proteomics reveals crosstalk between lipid metabolism and immunity in dairy cows receiving essential fatty acids and conjugated linoleic acid. Scientific Reports. 12(1). 5648–5648. 9 indexed citations

Zhu, Yao, Mohammed Gagaoua, Anne Maria Mullen, et al.. (2021). A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls. Foods. 10(5). 952–952. 23 indexed citations

Sousa, Telma de, Didier Viala, Laëtitia Théron, et al.. (2020). Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry. Biology. 9(3). 56–56. 9 indexed citations

10.

Sousa, Telma de, Didier Viala, Laëtitia Théron, et al.. (2020). Next-Generation Sequencing and MALDI Mass Spectrometry in the Study of Multiresistant Processed Meat Vancomycin-Resistant Enterococci (VRE). Biology. 9(5). 89–89. 18 indexed citations

11.

Esbelin, Julia, Céline Ribière, Mickaël Desvaux, et al.. (2018). Comparison of three methods for cell surface proteome extraction of Listeria monocytogenes biofilms. OMICS A Journal of Integrative Biology. 22(12). 779–787. 12 indexed citations

12.

Théron, Laëtitia, Thierry Sayd, Christophe Chambon, et al.. (2018). Deciphering PSE-like muscle defect in cooked hams: A signature from the tissue to the molecular scale. Food Chemistry. 270. 359–366. 15 indexed citations

13.

Gandar, Allison, et al.. (2017). Proteome response of fish under multiple stress exposure: Effects of pesticide mixtures and temperature increase. Aquatic Toxicology. 184. 61–77. 48 indexed citations

14.

Bancel, Emmanuelle, Didier Viala, Christophe Chambon, et al.. (2017). Wheat glutenin: the “tail” of the 1By protein subunits. Journal of Proteomics. 169. 136–142. 7 indexed citations

15.

Hébraud, Michel, Ingrid Chafsey, Christophe Chambon, et al.. (2016). Impacts of experimentally induced and clinically acquired quinolone resistance on the membrane and intracellular subproteomes of Salmonella Typhimurium DT104B. Journal of Proteomics. 145. 46–59. 16 indexed citations

16.

Monteiro, Ricardo, Michel Hébraud, Ingrid Chafsey, et al.. (2015). Surfaceome and exoproteome of a clinical sequence type 398 methicillin resistant Staphylococcus aureus strain. Biochemistry and Biophysics Reports. 3. 7–13. 18 indexed citations

17.

Viala, Didier, B. Martin, Philippe Pradel, et al.. (2010). Ultraviolet-absorbing compounds in milk are related to forage polyphenols. Journal of Dairy Science. 93(7). 2846–2856. 89 indexed citations

18.

Urpí-Sardà, Mireia, Christine Morand, Catherine Besson, et al.. (2008). Tissue distribution of isoflavones in ewes after consumption of red clover silage. Archives of Biochemistry and Biophysics. 476(2). 205–210. 29 indexed citations

19.

Sakakibara, Hiroyuki, et al.. (2004). Isoflavones in several clover species and in milk from goats fed clovers. BioFactors. 22(1-4). 237–239. 33 indexed citations

20.

Fraisse, Didier, Didier Viala, A. Carnat, et al.. (2002). Flavonoids in forages: composition and possible effects on milk quality.. 590–591. 5 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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