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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Metabolomics analysis reveals large effect of roughage types on rumen microbial metabolic profile in dairy cows
Shengguo Zhao, Jie Zhao, Dengpan Bu, et al.
Letters in Applied Microbiology (2014) Vol. 59, Iss. 1, pp. 79-85
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future
Sharon Huws, Christopher J. Creevey, Linda Oyama, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 356
Metabolomics of Four Biofluids from Dairy Cows: Potential Biomarkers for Milk Production and Quality
Hui‐Zeng Sun, Diming Wang, Bing Wang, et al.
Journal of Proteome Research (2015) Vol. 14, Iss. 2, pp. 1287-1298
Closed Access | Times Cited: 161
Effect of Dietary Forage to Concentrate Ratios on Dynamic Profile Changes and Interactions of Ruminal Microbiota and Metabolites in Holstein Heifers
Jun Zhang, Haitao Shi, Yajing Wang, et al.
Frontiers in Microbiology (2017) Vol. 8
Open Access | Times Cited: 154
Ruminal microbiota–host interaction and its effect on nutrient metabolism
Kaizhen Liu, Yangdong Zhang, Zhongtang Yu, et al.
Animal nutrition (2020) Vol. 7, Iss. 1, pp. 49-55
Open Access | Times Cited: 114
News in livestock research — use of Omics -technologies to study the microbiota in the gastrointestinal tract of farm animals
Simon Deusch, Bruno Tilocca, Amélia Camarinha‐Silva, et al.
Computational and Structural Biotechnology Journal (2014) Vol. 13, pp. 55-63
Open Access | Times Cited: 111
Rumen Fluid Metabolomics Analysis Associated with Feed Efficiency on Crossbred Steers
Virginia M. Artegoitia, Andrew P Foote, Ronald M Lewis, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 93
RUMINANT NUTRITION SYMPOSIUM: How to use data on the rumen microbiome to improve our understanding of ruminant nutrition1,2
J.L. Firkins, Zhongtang Yu
Journal of Animal Science (2015) Vol. 93, Iss. 4, pp. 1450-1470
Open Access | Times Cited: 90
Altering the Gut Microbiome of Cattle: Considerations of Host-Microbiome Interactions for Persistent Microbiome Manipulation
Brooke A. Clemmons, Brynn H. Voy, Phillip R. Myer
Microbial Ecology (2018) Vol. 77, Iss. 2, pp. 523-536
Closed Access | Times Cited: 83
3-NOP vs. Halogenated Compound: Methane Production, Ruminal Fermentation and Microbial Community Response in Forage Fed Cattle
G. Martı́nez, S. Duval, Maik Kindermann, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 83
Meta-analysis: effects of exogenous fibrolytic enzymes in ruminant diets
Deli Nazmín Tirado‐González, Luis Alberto Miranda‐Romero, Agustín Ruíz‐Flores, et al.
Journal of Applied Animal Research (2017) Vol. 46, Iss. 1, pp. 771-783
Open Access | Times Cited: 76
Comparative metabolome analysis of ruminal changes in Holstein dairy cows fed low- or high-concentrate diets
Ruiyang Zhang, Weiyun Zhu, Linshu Jiang, et al.
Metabolomics (2017) Vol. 13, Iss. 6
Closed Access | Times Cited: 62
Integrated application of transcriptomics and metabolomics provides insights into glycogen content regulation in the Pacific oyster Crassostrea gigas
Busu Li, Kai Song, Jie Meng, et al.
BMC Genomics (2017) Vol. 18, Iss. 1
Open Access | Times Cited: 59
Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism
Robert John Wallace, Timothy J. Snelling, C.A. McCartney, et al.
Genetics Selection Evolution (2017) Vol. 49, Iss. 1
Open Access | Times Cited: 57
Metabolomics Profiling of Serum and Urine in Three Beef Cattle Breeds Revealed Different Levels of Tolerance to Heat Stress
Yupeng Liao, Rui Hu, Zhisheng Wang, et al.
Journal of Agricultural and Food Chemistry (2018) Vol. 66, Iss. 26, pp. 6926-6935
Closed Access | Times Cited: 56
Microbiome and Metabolome Analyses of Milk From Dairy Cows With Subclinical Streptococcus agalactiae Mastitis—Potential Biomarkers
Jinjin Tong, Hua Zhang, Yonghong Zhang, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 52
Biomarker and pathway analyses of urine metabolomics in dairy cows when corn stover replaces alfalfa hay
Hui‐Zeng Sun, Bing Wang, Jiakun Wang, et al.
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology (2016) Vol. 7, Iss. 1
Open Access | Times Cited: 50
Equine faecal microbiota transplant: Current knowledge, proposed guidelines and future directions
Kathleen R. Mullen, Koji Yasuda, Thomas J. Divers, et al.
Equine Veterinary Education (2016) Vol. 30, Iss. 3, pp. 151-160
Open Access | Times Cited: 48
Review: The application of omics to rumen microbiota function
Stuart E. Denman, Diego Morgavi, Christopher S. McSweeney
animal (2018) Vol. 12, pp. s233-s245
Open Access | Times Cited: 48
The application of omics in ruminant production: a review in the tropical and sub-tropical animal production context
David M. Ribeiro, A. A. K. Salama, Ana Cristina Vitor, et al.
Journal of Proteomics (2020) Vol. 227, pp. 103905-103905
Open Access | Times Cited: 34
Untargeted Metabolomics of Korean Fermented Brown Rice Using UHPLC Q-TOF MS/MS Reveal an Abundance of Potential Dietary Antioxidative and Stress-Reducing Compounds
Akanksha Tyagi, Su‐Jung Yeon, Eric Banan‐Mwine Daliri, et al.
Antioxidants (2021) Vol. 10, Iss. 4, pp. 626-626
Open Access | Times Cited: 29
Methane emissions and rumen metabolite concentrations in cattle fed two different silages
R. Bica, Javier Palarea‐Albaladejo, Joana Lima, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 22
Dietary non-forage fiber sources and starch levels: Effects on growth, meat fatty acid composition, and rumen bacterial community of fattening lambs
Shuai Jiao, Nannan Liu, Zhilan Wang, et al.
Animal Feed Science and Technology (2025), pp. 116340-116340
Closed Access
GC–TOF/MS-based metabolomics studies on the effect of protein sources in formulated diet for pearl oyster Pinctada fucata martensii
Chuangye Yang, Ruijuan Hao, Xiaodong Du, et al.
Aquaculture (2017) Vol. 486, pp. 139-147
Closed Access | Times Cited: 39
LC/MS-based metabolomics to evaluate the milk composition of human, horse, goat and cow from China
Rui Wu, Jinyao Chen, Lishi Zhang, et al.
European Food Research and Technology (2021) Vol. 247, Iss. 3, pp. 663-675
Closed Access | Times Cited: 25
Exploration of metabolite profiles in the biofluids of dairy cows by proton nuclear magnetic resonance analysis
Hyun Sang Kim, Eun Tae Kim, Jun Sik Eom, et al.
PLoS ONE (2021) Vol. 16, Iss. 1, pp. e0246290-e0246290
Open Access | Times Cited: 24
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