Topics and Trends in Most Cited Ruminant Nutrition and Digestive Physiology Papers

Ranked by citations 18 months after publication

Class of 2026 (Papers Published in 2024)

What topics and trends defined most-cited Ruminant Nutrition and Digestive Physiology research in the Class of 2026?

The Class of 2026 in ruminant nutrition shifts from basic taxonomic profiling to functional, systems-level analysis. High-impact research increasingly relies on multi-omics and metabolomics to link specific rumen microbes, like Prevotella, to environmental goals such as methane mitigation and enhanced feed efficiency.

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At a glance

Field
Ruminant Nutrition and Digestive Physiology
Cohort label
Class of 2026 (2024 publications)
Papers analyzed
4,240
Papers ranked
20
Top topics in ranked papers
Holstein cattle, Prevotella, methane mitigation, metabolomics
Publication window
Jan 1, 2024 – Dec 31, 2024
Eligibility
Research articles; reviews excluded
Citation window
18 months post-publication
18m citation range
19–48
Data source
OpenAlex · Retrieved July 2026
License
CC BY 4.0

Rankings

20 papers ranked by 18-month citation count

#1 of 4,240
4818m citations

Single-cell transcriptomics across 2,534 microbial species reveals functional heterogeneity in the rumen microbiome

Minghui Jia, Senlin Zhu, Ming-Yuan Xue et al.Nature Microbiology202410.1038/s41564-024-01723-9

Yongcheng Wang, Hui‐Zeng SunZhejiang University, China

Single-cell RNA sequencingRumen microbiotaMicrobial diversityfunctional heterogeneityMicrobial transcriptomicsrumen microbial ecologyspecies-level resolutionmicrobial community functionRumen fermentationmicrobial metabolic activitycell-to-cell variationruminant digestion
#2 of 4,240
3918m citations

Integrated multi-omics reveals the relationship between growth performance, rumen microbes and metabolic status of Hu sheep with different residual feed intakes

Yanzhen Zhang et al.Animal nutrition202410.1016/j.aninu.2024.04.021

Lingling Sun, Chong WangZhejiang A&F University, China

residual feed intake (RFI)Hu sheepFeed efficiencyhigh RFI (HRFI) grouplow RFI (LRFI) groupRumen microbiota16S rRNA gene sequencingPrevotellaRumen metabolomeBlood metabolomicsVolatile fatty acidsacetatepropionatevaleratecitrate cyclepyruvate metabolismAlanine, aspartate and glutamate metabolismmalic acidoxoglutaric acidcitric acid
#3 of 4,240
3718m citations

Long-term effects of 3-nitrooxypropanol on methane emission and milk production characteristics in Holstein-Friesian dairy cows

Sanne van Gastelen et al.Journal of Dairy Science202410.3168/jds.2023-24198

Sanne van GastelenWageningen University & Research, Netherlands

3-NitrooxypropanolMethane emissionMethane mitigationHolstein cattleMilk yieldEnergy-corrected milkFat- and protein-corrected milkFPCMFeed efficiencylactation stagedry matter intakeDMITotal mixed rationGreenFeed systemMethane yielddiet composition effectslong-term supplementationForage-to-concentrate ratio
#4 of 4,240
3418m citations

Volatile metabolomics and metagenomics reveal the effects of lactic acid bacteria on alfalfa silage quality, microbial communities, and volatile organic compounds

Yichao Liu et al.Communications Biology202410.1038/s42003-024-07083-8

Yushan Jia, Zhijun WangInner Mongolia Agricultural University, China

Lactiplantibacillus plantarumPediococcus pentosaceusalfalfa silagevolatile organic compoundsvolatile metabolomicsMetagenomicsterpenoidsestersmethyl benzoateethyl benzoateethyl salicylatesensory qualityMicrobial community compositioncarbohydrate metabolismamino acid metabolismbiosynthesis of secondary metabolitesdegradation of aromatic compoundsSilage fermentation
#5 of 4,240
2818m citations

Phenotypic variation of dairy cows’ hematic metabolites and feasibility of non-invasive monitoring of the metabolic status in the transition period

Silvia Magro et al.Frontiers in Veterinary Science202410.3389/fvets.2024.1437352

Angela CostaUniversity of Padova, Italy

transition perioddairy cowsBlood metabolomicsmid-infrared spectroscopyβ-hydroxybutyrateNon-esterified fatty acidscholesterolglucoseureatotal proteinalbuminglobulinaspartate aminotransferasegamma-glutamyl transferasecreatine kinasetotal bilirubincortisolnegative energy balancesubclinical ketosismilk MIR prediction
#6 of 4,240
2718m citations

An integrated microbiome- and metabolome-genome-wide association study reveals the role of heritable ruminal microbial carbohydrate metabolism in lactation performance in Holstein dairy cows

Chenguang Zhang et al.Microbiome202410.1186/s40168-024-01937-3

Shengru Wu, Sharon Huws, Junhu YaoNorthwest A&F University, China

Rumen microbiotahost geneticsHeritabilityMetagenomicsMetabolomicswhole-genome resequencingShort-chain fatty acidsEnergy-corrected milkAcetate-to-propionate ratioGenome-wide association studymicrobiome-GWASmetabolome-GWASMicrobiome-wide association studySLC30A9PrevotellaCarbohydrate-active enzymesglycoside hydrolase families (GH10, GH13, GH43, GH95, GH115, GH24)Pseudobutyrivibrio sp.9,10,13-TriHOMEstructural equation model (SEM)
#7 of 4,240
2418m citations

Growth performance, carcass characteristics, fatty acid profile, and meat quality of male goat kids supplemented by alternative feed resources: bitter vetch and sorghum grains

Soumaya Boukrouh et al.Archives animal breeding/Archiv für Tierzucht202410.5194/aab-67-481-2024

Soumaya Boukrouh, Ali Noutfia, Nassim Moula, Claire Avril, Julien Louvieaux, Jean‐Luc Hornick, Jean-François Cabaraux, Mouad ChentoufUniversity of Liège, Belgium

bitter vetchsorghum grainsalternative feed resourcesmale goat kidsGrowth performanceCarcass traitsFatty acid profilemeat qualityLongissimus dorsi musclemesenteric fatC18:2 n-6C18:3 n-3Polyunsaturated fatty acidselongase activitynutritive value index (NVI)health promoting index (HPI)Thrombogenic indexmeat color parameterslocal goat breedssouthern Mediterranean
#8 of 4,240
2418m citations

Feed additives for methane mitigation: Modeling the impact of feed additives on enteric methane emission of ruminants—Approaches and recommendations

Jan Dijkstra et al.Journal of Dairy Science202410.3168/jds.2024-25049

Jan DijkstraWageningen University & Research, Netherlands

Feed additiveMethane mitigationMethane emissionruminantsgreenhouse gas emissionsRuminant productionfarm-level inventoriesnational inventoriesregional inventoriesglobal inventoriesemission modeling
#9 of 4,240
2318m citations

Rumen and hindgut microbiome regulate average daily gain of preweaning Holstein heifer calves in different ways

Sheng-Yang Xu et al.Microbiome202410.1186/s40168-024-01844-7

Tu YanInstitute of Feed Research, China

Average daily gainHolstein cattleRumen microbiotaHindgut microbiotaPyramidobacter sp.Acidaminococcus fermentansBifidobacterium pseudolongumButyrate production4-hydroxyglucobrassicinRumen metagenomicshindgut metagenomicsRumen metabolomehindgut metabolomicsBlood metabolomicsin vitro fermentationmicrobial isolationHost-microbiome interactionsgastrointestinal microbiome regulation
#10 of 4,240
2318m citations

Feed additives for methane mitigation: Assessment of feed additives as a strategy to mitigate enteric methane from ruminants—Accounting; How to quantify the mitigating potential of using antimethanogenic feed additives

Agustin Del Prado et al.Journal of Dairy Science202410.3168/jds.2024-25044

A. del Prado, Ronaldo VibartBasque Centre for Climate Change (BC3), Spain

Methane emissionAntimethanogenic additivesMethanogenesisMethanogensrumen environmentMethane mitigationemission factorsprocess-based modelslife cycle assessmentcarbon footprintingnational GHG inventoriesemissions trading schemesefficacy versus effectivenessupstream and downstream emissionsfarm-scale modelsalternative electron acceptorslivestock sector mitigationAMFA delivery methodsGHG certificationmitigation potential accounting
#11 of 4,240
2218m citations

Multi-omics analysis reveals the core microbiome and biomarker for nutrition degradation in alfalfa silage fermentation

Yuan Wang et al.mSystems202410.1128/msystems.00682-24

Yuan WangChina Agricultural University, China

alfalfa silageAlfalfaSilage fermentationMulti-omicsculturomicsMetagenomicshigh-throughput sequencingMicrobial community compositionAmplicon sequence variantsLactiplantibacillusLeuconostocLentilactobacillusWeissellaLiquorilactobacillusEnterobacteriaceaeAmmonia nitrogenButyrate productionnutrition degradation pathwaysCore microbiomeSilage quality
#12 of 4,240
2118m citations

Succession of rumen microbiota and metabolites across different reproductive periods in different sheep breeds and their impact on the growth and development of offspring lambs

Yuzhu Sha et al.Microbiome202410.1186/s40168-024-01892-z

Shengguo ZhaoGansu Agricultural University, China

Rumen microbiotaRumen metabolomereproductive periodsHu sheepSuffolk sheepoffspring lamb growthreproductive hormone levelsimmune levelsPrevotellaButyrivibrioRikenellaceae RC9 gut groupprotein digestion and absorptionamino acid metabolismacetatepropionatebirth weightintestinal immunitymilk quality
#13 of 4,240
2118m citations

Deciphering functional groups of rumen microbiome and their underlying potentially causal relationships in shaping host traits

Ming-Yuan Xue et al.iMeta202410.1002/imt2.225

Hui‐Zeng Sun, Jianxin LiuZhejiang University, China

Rumen microbiotaMetaproteomicsmetatranscriptomeMetabolomicsFeed efficiencySelenomonas boviscarbohydrate metabolismbacterial chemotaxistwo-component regulatory systemHost genetics-microbiota interactionscausal inferencefunctional groupsdairy cowsnutrient utilizationMulti-omicsHost-microbiome interactionsRuminant production
#14 of 4,240
2118m citations

Mitigating methane emissions in grazing beef cattle with a seaweed-based feed additive: Implications for climate-smart agriculture

Paulo Meo-Filho et al.Proceedings of the National Academy of Sciences202410.1073/pnas.2410863121

E. KebreabUniversity of California, United States

Methane emissionAsparagopsis taxiformisBromoformBrominataGrazing cattleGreenFeed systemAntimethanogenic additivesWagyu and Angus crossbreedspelleted seaweed feed additiveHydrogen emissionscarbon dioxide emissionsramp-up phaseoptimal phasedecreasing phaseAverage daily gainpredicted dry matter intakeGreenhouse gas mitigationruminant livestock
#15 of 4,240
2118m citations

Fermentation profile and bioactive component retention in honeysuckle residue silages inoculated with lactic acid bacteria: A promising feed additive for sustainable agriculture

Yanfang Wu et al.Industrial Crops and Products202410.1016/j.indcrop.2024.120315

Jianxiong JiangJiangsu University, China

honeysuckle residuelactic acid bacteria inoculantsPediococcus pentosaceus G18Pediococcus pentosaceus PC2-1(F2)Lentilactobacillus buchneri PC-C1Silage fermentationchlorogenic acidsrutinluteolinluteolosideCrude protein contentAcid detergent fiberacid detergent ligninSilage qualitybioactive compound retentionantibiotic alternatives in animal feed14-day ensiling periodFeed additivelactic acid productioncrude fiber reduction
#16 of 4,240
2018m citations

Integrating genome‐ and transcriptome‐wide association studies to uncover the host–microbiome interactions in bovine rumen methanogenesis

Wei Wang et al.iMeta202410.1002/imt2.234

Fuyong Li, Shengru Wu, Yu WangNorthwest A&F University, China

Genome-wide association studytranscriptome-wide association study (TWAS)Rumen microbiotaMethanogensMethanogenesisHolstein cattleMicrobial taxa heritabilityHost-microbiome interactionsHost genetics-microbiota interactionsVolatile fatty acidssubstrate hydrogen metabolismmicrobial abundance varianceRumen transcriptomeGreenhouse gas mitigationMethane mitigationMulti-omics
#17 of 4,240
2018m citations

A metagenomic catalogue of the ruminant gut archaeome

Jiandui Mi et al.Nature Communications202410.1038/s41467-024-54025-3

Jiandui MiLanzhou University, China

ruminant gut archaeomemetagenomic cataloguearchaeal genomesMethanobacteriaceaeMethanomethylophilaceaeMethane productiongut biogeographymethanogenic pathwaysstrain-level diversityarchaeal viromesantibiotic resistance genesmetal resistance genesmobile genetic elementsvirulence factorsquorum sensorshydrogen balancegastrointestinal tractprotein clustershost-specific dependenciesbreed-specific archaeal composition
#18 of 4,240
2018m citations

Seasonal stability of the rumen microbiome contributes to the adaptation patterns to extreme environmental conditions in grazing yak and cattle

Wei Guo et al.BMC Biology202410.1186/s12915-024-02035-4

Ruijun Long, Le Luo GuanGuizhou University, China

Rumen microbiotaseasonal stabilityQinghai-Tibetan Plateaugrazing yakGrazing cattleRumen fermentationxylanasecellulasebacterial community alpha diversityeukaryotic communityGH2GH3GH160cellulose degradationhemicellulose degradationmicrobiome attenuationbuffering valuesantimicrobial resistance gene dfrFCAZyme family GH113lignocellulolytic enzymes
#19 of 4,240
1918m citations

Multi-omics reveal mechanisms of high enteral starch diet mediated colonic dysbiosis via microbiome-host interactions in young ruminant

Chunjia Jin, Shengru Wu et al.Microbiome202410.1186/s40168-024-01760-w

Leluo GuanNorthwest A&F University, China

enteral starch overloadGut dysbiosisHost-microbiome interactionsyoung ruminantsgoat modelPrevotella sp. P4-67Prevotella sp. PINTBacteroides sp. CAG:927Fusarium vanetteniiNeocallimastix californiaeMucin-2 (MUC2)T helper 2 cell (TH2)-mediated inflammationchenodeoxycholic acid (CDCA)deoxycholic acid (DCA)hypoxanthineGATA3Multi-omicscolonic transcriptomeMetagenomicshindgut homeostasis
#20 of 4,240
1918m citations

Effects of a range of effective inclusion levels of Asparagopsis armata steeped in oil on enteric methane emissions of dairy cows

P.S. Alvarez-Hess et al.Animal Feed Science and Technology202410.1016/j.anifeedsci.2024.115932

J. L. JacobsAgriculture Victoria Research, Australia

Asparagopsis armataBromoformMethane emissiondairy cowscanola oilMethane mitigationsulphur hexafluoride tracer techniqueHolstein cattledry matter intakeMilk yieldMethane productionMethane yieldbromoform residues in milkDibromomethaneconcentrate supplementvetch hayEnergy-corrected milkdose-response relationship
Methodology

PRI identifies high-impact research using a transparent, topic-agnostic framework applied consistently across scientific domains. Bibliographic records are drawn from OpenAlex, including publication dates, citation relationships, and document types.

This ranking covers the Class of 2026 cohort: journal articles published in 2024. Reviews and other non-article document types are excluded to ensure comparability.

Research impact is quantified with an 18-month post-publication citation window—the number of citing works published within 18 months of each paper's publication date. This metric captures early impact while controlling for publication age.

An LLM-based relevance classifier then reviews each candidate's title and abstract to confirm substantive alignment with the target domain. Only papers classified as relevant appear in the final ranking.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459

Cite this ranking

Pepkio Research Index (PRI). Topics and Trends in Most Cited Ruminant Nutrition and Digestive Physiology Papers, Class of 2026. https://pri.pepkio.com/top-papers/ruminant-nutrition-and-digestive-physiology/2026. Accessed 2026-07-19.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459