Josep Rubert

2.9k total citations
64 papers, 1.9k citations indexed

About

Josep Rubert is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, Josep Rubert has authored 64 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Food Science, 24 papers in Plant Science and 22 papers in Molecular Biology. Recurrent topics in Josep Rubert's work include Mycotoxins in Agriculture and Food (17 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Wheat and Barley Genetics and Pathology (9 papers). Josep Rubert is often cited by papers focused on Mycotoxins in Agriculture and Food (17 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Wheat and Barley Genetics and Pathology (9 papers). Josep Rubert collaborates with scholars based in Spain, Italy and Netherlands. Josep Rubert's co-authors include Carla Soler, Jordí Mañes, Jana Hajšlová, Milena Zachariášová, José M. Soriano, Ondřej Lacina, Milena Stránská, Fulvio Mattivi, Zbyněk Džuman and Chiara Dall’Asta and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Josep Rubert

60 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josep Rubert Spain 26 846 648 637 184 172 64 1.9k
Adela Pintea Romania 30 673 0.8× 634 1.0× 702 1.1× 223 1.2× 160 0.9× 118 2.5k
Catherine Deborde France 30 1.5k 1.7× 1.5k 2.3× 561 0.9× 137 0.7× 207 1.2× 80 2.9k
Lanting Zeng China 33 1.0k 1.2× 1.4k 2.1× 1.3k 2.0× 78 0.4× 79 0.5× 87 3.5k
Nicolas Sommerer France 29 1.3k 1.6× 1.1k 1.7× 721 1.1× 214 1.2× 175 1.0× 72 2.6k
Guillaume Marti France 23 1.0k 1.2× 915 1.4× 261 0.4× 55 0.3× 95 0.6× 53 2.1k
Weidong Huang China 29 1.9k 2.3× 1.9k 3.0× 521 0.8× 107 0.6× 90 0.5× 87 3.2k
Feng‐Yih Yu Taiwan 30 1.1k 1.3× 902 1.4× 193 0.3× 74 0.4× 442 2.6× 73 2.3k
Andrea Matros Germany 30 2.0k 2.4× 2.0k 3.0× 309 0.5× 270 1.5× 98 0.6× 80 3.7k
Lauro Euclides Soares Barata Brazil 23 576 0.7× 701 1.1× 341 0.5× 46 0.3× 75 0.4× 94 1.6k
David B. Sauer United States 21 858 1.0× 675 1.0× 208 0.3× 129 0.7× 90 0.5× 60 1.8k

Countries citing papers authored by Josep Rubert

Since Specialization
Citations

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

Fields of papers citing papers by Josep Rubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josep Rubert

This figure shows the co-authorship network connecting the top 25 collaborators of Josep Rubert. A scholar is included among the top collaborators of Josep Rubert 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 Josep Rubert. Josep Rubert 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.
Liu, Zhen, Ciarán G. Forde, Markus Stieger, & Josep Rubert. (2025). Chewing behavior and bolus particle size of rice influence carbohydrate digestion and gut microbiome metabolism in vitro. Food Chemistry. 492(Pt 2). 145404–145404.
2.
Pangrazzi, Luca, Luigi Balasco, Gabriele Chelini, et al.. (2025). The interplay between oxidative stress and inflammation supports autistic-related behaviors in Cntnap2 knockout mice. Brain Behavior and Immunity. 127. 57–71. 4 indexed citations
4.
5.
Huyan, Zongyao, Nicoletta Pellegrini, Josep Rubert, Wilma T. Steegenga, & Edoardo Capuano. (2024). Levels of lipid-derived gut microbial metabolites differ among plant matrices in an in vitro model of colon fermentation. Food Research International. 184. 114230–114230. 1 indexed citations
6.
Scott, William T., et al.. (2024). Tailored impact of dietary fibers on gut microbiota: a multi-omics comparison on the lean and obese microbial communities. Microbiome. 12(1). 250–250. 10 indexed citations
7.
Jia, Jie, Liangjie Tian, Xuebo Liu, et al.. (2023). Investigation on physicochemical properties, sensory quality and storage stability of mayonnaise prepared from lactic acid fermented egg yolk. Food Chemistry. 415. 135789–135789. 26 indexed citations
8.
Shen, Yi, Zongyao Huyan, Xiaoli Shu, et al.. (2023). Lipid complexation reduces rice starch digestibility and boosts short-chain fatty acid production via gut microbiota. npj Science of Food. 7(1). 56–56. 15 indexed citations
9.
Rubert, Josep, Pawel J. Schweiger, Fulvio Mattivi, et al.. (2020). Intestinal Organoids: A Tool for Modelling Diet–Microbiome–Host Interactions. Trends in Endocrinology and Metabolism. 31(11). 848–858. 48 indexed citations
10.
Righetti, Laura, Josep Rubert, Gianni Galaverna, et al.. (2017). A novel approach based on untargeted lipidomics reveals differences in the lipid pattern among durum and common wheat. Food Chemistry. 240. 775–783. 51 indexed citations
11.
Stránská, Milena, Petr Kaštánek, Zbyněk Džuman, et al.. (2016). Bioprospecting of microalgae: Proper extraction followed by high performance liquid chromatographic–high resolution mass spectrometric fingerprinting as key tools for successful metabolom characterization. Journal of Chromatography B. 1015-1016. 22–33. 13 indexed citations
12.
Rubert, Josep, et al.. (2014). Natural co-occurrence of mycotoxins in wheat grains from Italy and Syria. Food Chemistry. 157. 111–118. 105 indexed citations
13.
Rubert, Josep, Ondřej Lacina, Carsten Fauhl‐Hassek, & Jana Hajšlová. (2014). Metabolic fingerprinting based on high-resolution tandem mass spectrometry: a reliable tool for wine authentication?. Analytical and Bioanalytical Chemistry. 406(27). 6791–6803. 56 indexed citations
14.
Rubert, Josep, Kevin J. James, Jordí Mañes, & Carla Soler. (2012). Study of mycotoxin calibration approaches on the example of trichothecenes analysis from flour. Food and Chemical Toxicology. 50(6). 2034–2041. 7 indexed citations
15.
16.
Rubert, Josep, Carla Soler, & Jordí Mañes. (2011). Evaluation of matrix solid-phase dispersion (MSPD) extraction for multi-mycotoxin determination in different flours using LC–MS/MS. Talanta. 85(1). 206–215. 63 indexed citations
17.
Rubert, Josep, Jordí Mañes, K.J. James, & Carla Soler. (2011). Application of hybrid linear ion trap-high resolution mass spectrometry to the analysis of mycotoxins in beer. Food Additives & Contaminants Part A. 28(10). 1438–1446. 16 indexed citations
18.
19.
Sospedra, Isabel, Josep Rubert, Carla Soler, José M. Soriano, & Jordí Mañes. (2009). Microbial Contamination of Milk and Dairy Products from Restaurants in Spain. Foodborne Pathogens and Disease. 6(10). 1269–1272. 15 indexed citations
20.
Roig, Teresa, Marı́a Pilar Vinardell, Josep Rubert, & Emilio Fern�ndez. (1993). Double luminal and vascular perfusion of chicken jejunum: studies on 3-O-methyl-D-glucose absorption. Pflügers Archiv - European Journal of Physiology. 425(5-6). 365–372. 1 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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