Núria Mach

5.6k total citations · 1 hit paper
104 papers, 3.6k citations indexed

About

Núria Mach is a scholar working on Molecular Biology, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Núria Mach has authored 104 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 18 papers in Nutrition and Dietetics and 17 papers in Physiology. Recurrent topics in Núria Mach's work include Gut microbiota and health (24 papers), Multi-Agent Systems and Negotiation (11 papers) and Artificial Intelligence in Law (11 papers). Núria Mach is often cited by papers focused on Gut microbiota and health (24 papers), Multi-Agent Systems and Negotiation (11 papers) and Artificial Intelligence in Law (11 papers). Núria Mach collaborates with scholars based in France, Spain and Netherlands. Núria Mach's co-authors include Allison Clark, À. Bach, M. Devant, Jordi Estellé, Claire Rogel Gaillard, Gaëtan Lemonnier, Yuliaxis Ramayo‐Caldas, Joël Doré, Antonio Velarde and Mustapha Berri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Núria Mach

102 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exercise-induced stress behavior, gut-microbiota-brain axis and diet: a systematic review for athletes

2016 394 citations Allison Clark, Núria Mach profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Núria Mach France	28	1.6k	719	698	516	472	104	3.6k
Xiangfang Zeng China	40	2.6k 1.7×	610 0.8×	1.4k 1.9×	335 0.6×	366 0.8×	132	5.3k
De Wu China	40	2.2k 1.4×	652 0.9×	1.7k 2.4×	660 1.3×	416 0.9×	336	6.4k
Jian Peng China	42	2.1k 1.3×	743 1.0×	1.4k 2.0×	220 0.4×	326 0.7×	208	4.8k
Hongkui Wei China	39	1.6k 1.0×	632 0.9×	949 1.4×	184 0.4×	214 0.5×	141	3.6k
Takamitsu Tsukahara Japan	32	1.5k 1.0×	626 0.9×	633 0.9×	151 0.3×	238 0.5×	145	3.1k
Robert W. Li United States	38	2.0k 1.3×	273 0.4×	296 0.4×	849 1.6×	691 1.5×	120	4.3k
Isabelle Le Huërou‐Luron France	36	1.4k 0.9×	651 0.9×	1.5k 2.1×	291 0.6×	406 0.9×	126	4.4k
Shiyan Qiao China	37	2.1k 1.3×	571 0.8×	2.3k 3.3×	348 0.7×	277 0.6×	118	5.1k
Huansheng Yang China	32	1.1k 0.7×	444 0.6×	1.2k 1.7×	293 0.6×	315 0.7×	146	3.1k
Shengyu Xu China	35	1.4k 0.9×	506 0.7×	1.5k 2.2×	433 0.8×	228 0.5×	265	4.3k

Countries citing papers authored by Núria Mach

Since Specialization

Citations

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

Fields of papers citing papers by Núria Mach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Núria Mach

This figure shows the co-authorship network connecting the top 25 collaborators of Núria Mach. A scholar is included among the top collaborators of Núria Mach 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 Núria Mach. Núria Mach 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

Mohr, Alex E., Núria Mach, Jamie Pugh, et al.. (2025). Mechanisms underlying alterations of the gut microbiota by exercise and their role in shaping ecological resilience. FEMS Microbiology Reviews. 49. 1 indexed citations

Li, Cunyuan, Xiaoyue Li, Jingya Xu, et al.. (2025). Multiomic analysis of different horse breeds reveals that gut microbial butyrate enhances racehorse athletic performance. npj Biofilms and Microbiomes. 11(1). 87–87. 1 indexed citations

Mach, Núria. (2024). The forecasting power of the mucin-microbiome interplay in livestock respiratory diseases. Veterinary Quarterly. 44(1). 1–18. 1 indexed citations

Boudesocque‐Delaye, Leslie, Laurence Wimel, Bertrand Dumont, et al.. (2024). Chicory (Cichorium intybus) reduces cyathostomin egg excretion and larval development in grazing horses. International Journal for Parasitology Drugs and Drug Resistance. 24. 100523–100523. 2 indexed citations

Lisbôa, Júlio Augusto Naylor, et al.. (2024). Fecal Microbial Communities of Nellore and Crossbred Beef Calves Raised at Pasture. Animals. 14(10). 1447–1447. 1 indexed citations

Alexandre, Pâmela A., Silvia Teresa Rodríguez‐Ramilo, Núria Mach, & Antônio Reverter. (2024). Combining genomics and semen microbiome increases the accuracy of predicting bull prolificacy. Journal of Animal Breeding and Genetics. 142(2). 237–250.

Courtot, Élise, Sophie Dhorne‐Pollet, Fabrice Reigner, et al.. (2023). Comparison of two molecular barcodes for the study of equine strongylid communities with amplicon sequencing. PeerJ. 11. e15124–e15124. 13 indexed citations

Courtot, Élise, Bertrand Dumont, Тetiana А. Kuzmina, et al.. (2022). Effect of sainfoin (Onobrychis viciifolia) on cyathostomin eggs excretion, larval development, larval community structure and efficacy of ivermectin treatment in horses. Parasitology. 149(11). 1439–1449. 10 indexed citations

Mach, Núria, Alice Ruet, Allison Clark, et al.. (2020). Priming for welfare: gut microbiota is associated with equitation conditions and behavior in horse athletes. Scientific Reports. 10(1). 8311–8311. 42 indexed citations

10.

Plancade, Sandra, Allison Clark, Catherine Philippe, et al.. (2019). Unraveling the effects of the gut microbiota composition and function on horse endurance physiology. Scientific Reports. 9(1). 9620–9620. 29 indexed citations

11.

Ramayo‐Caldas, Yuliaxis, Laura M. Zingaretti, Milka Popova, et al.. (2019). Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows. Journal of Animal Breeding and Genetics. 137(1). 49–59. 66 indexed citations

12.

Pegolo, Sara, Núria Mach, Yuliaxis Ramayo‐Caldas, et al.. (2018). Integration of GWAS, pathway and network analyses reveals novel mechanistic insights into the synthesis of milk proteins in dairy cows. Scientific Reports. 8(1). 566–566. 41 indexed citations

13.

Pegolo, Sara, Christos Dadousis, Núria Mach, et al.. (2017). SNP co-association and network analyses identify E2F3, KDM5A and BACH2 as key regulators of the bovine milk fatty acid profile. Scientific Reports. 7(1). 17317–17317. 25 indexed citations

14.

Jacouton, Elsa, Núria Mach, Nicolas Lapaque, et al.. (2015). Lactobacillus rhamnosus CNCMI-4317 Modulates Fiaf/Angptl4 in Intestinal Epithelial Cells and Circulating Level in Mice. PLoS ONE. 10(10). e0138880–e0138880. 23 indexed citations

15.

Mach, Núria, et al.. (2014). Influencia de la gestación, el parto y el tipo de lactancia sobre la microbiota intestinal del neonato. Acta pediátrica española. 72(2). 37–44. 3 indexed citations

16.

Marcos, Begonya, P. Gou, María Dolors Guárdia, et al.. (2012). Surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry: A tool to predict pork quality. Meat Science. 95(3). 688–693. 7 indexed citations

17.

Marcos, Begonya, P. Gou, X. Serra, et al.. (2012). Analysis of raw hams using SELDI-TOF-MS to predict the final quality of dry-cured hams. Meat Science. 93(2). 233–239. 4 indexed citations

18.

Ramayo‐Caldas, Yuliaxis, Núria Mach, Anna Esteve‐Codina, et al.. (2012). Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition. BMC Genomics. 13(1). 547–547. 114 indexed citations

19.

Llacuna, Laura & Núria Mach. (2011). Papel de los antioxidantes en la prevención del cáncer. Revista Española de Nutrición Humana y Dietética. 16(1). 16–24. 3 indexed citations

20.

Casanovas, Pompeu, et al.. (2008). Computable Models of the Law: Languages, Dialogues, Games, Ontologies. Springer eBooks. 8 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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