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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:

Potential of fecal microbiota for early‐stage detection of colorectal cancer
Georg Zeller, Julien Tap, Anita Y. Voigt, et al.
Molecular Systems Biology (2014) Vol. 10, Iss. 11
Open Access | Times Cited: 1117

Showing 1-25 of 1117 citing articles:

The Human Intestinal Microbiome in Health and Disease
Susan V. Lynch, Oluf Pedersen
New England Journal of Medicine (2016) Vol. 375, Iss. 24, pp. 2369-2379
Closed Access | Times Cited: 3004
Shotgun metagenomics, from sampling to analysis
Christopher Quince, Alan W. Walker, Jared T. Simpson, et al.
Nature Biotechnology (2017) Vol. 35, Iss. 9, pp. 833-844
Closed Access | Times Cited: 1549
Gut microbiota and IBD: causation or correlation?
Josephine Ni, Gary D. Wu, Lindsey Albenberg, et al.
Nature Reviews Gastroenterology & Hepatology (2017) Vol. 14, Iss. 10, pp. 573-584
Open Access | Times Cited: 1421
Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3
Francesco Beghini, Lauren J. McIver, Aitor Blanco‐Míguez, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 1417
Gut microbiota dysbiosis contributes to the development of hypertension
Jing Li, Fangqing Zhao, Yidan Wang, et al.
Microbiome (2017) Vol. 5, Iss. 1
Open Access | Times Cited: 1391
Metagenomic and metabolomic analyses reveal distinct stage-specific phenotypes of the gut microbiota in colorectal cancer
Shinichi Yachida, Sayaka Mizutani, Hirotsugu Shiroma, et al.
Nature Medicine (2019) Vol. 25, Iss. 6, pp. 968-976
Open Access | Times Cited: 1068
Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer
Jun Yu, Qiang Feng, Sunny H. Wong, et al.
Gut (2015) Vol. 66, Iss. 1, pp. 70-78
Open Access | Times Cited: 1050
Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome
Pamela Ferretti, Edoardo Pasolli, Adrian Tett, et al.
Cell Host & Microbe (2018) Vol. 24, Iss. 1, pp. 133-145.e5
Open Access | Times Cited: 1031
Gut microbiota in colorectal cancer: mechanisms of action and clinical applications
Sunny H. Wong, Jun Yu
Nature Reviews Gastroenterology & Hepatology (2019) Vol. 16, Iss. 11, pp. 690-704
Closed Access | Times Cited: 1001
Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer
Jakob Wirbel, Paul Theodor Pyl, Ece Kartal, et al.
Nature Medicine (2019) Vol. 25, Iss. 4, pp. 679-689
Open Access | Times Cited: 996
Diet, microorganisms and their metabolites, and colon cancer
Stephen J. O’Keefe
Nature Reviews Gastroenterology & Hepatology (2016) Vol. 13, Iss. 12, pp. 691-706
Open Access | Times Cited: 928
Enterotypes in the landscape of gut microbial community composition
Paul Igor Costea, Falk Hildebrand, Manimozhiyan Arumugam, et al.
Nature Microbiology (2017) Vol. 3, Iss. 1, pp. 8-16
Open Access | Times Cited: 890
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses
Claire Duvallet, Sean M. Gibbons, Thomas Gurry, et al.
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 862
Geography, Ethnicity or Subsistence-Specific Variations in Human Microbiome Composition and Diversity
Vinod K. Gupta, Sandip Paul, Chitra Dutta
Frontiers in Microbiology (2017) Vol. 8
Open Access | Times Cited: 830
Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation
Andrew Maltez Thomas, Paolo Manghi, Francesco Asnicar, et al.
Nature Medicine (2019) Vol. 25, Iss. 4, pp. 667-678
Open Access | Times Cited: 753
A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extraction
Rizgar R. Zebari, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, et al.
Journal of Applied Science and Technology Trends (2020) Vol. 1, Iss. 1, pp. 56-70
Open Access | Times Cited: 719
The Human Gut Microbiome: From Association to Modulation
Thomas Schmidt, Jeroen Raes, Peer Bork
Cell (2018) Vol. 172, Iss. 6, pp. 1198-1215
Open Access | Times Cited: 715
Towards standards for human fecal sample processing in metagenomic studies
Paul Igor Costea, Georg Zeller, Shinichi Sunagawa, et al.
Nature Biotechnology (2017) Vol. 35, Iss. 11, pp. 1069-1076
Open Access | Times Cited: 695
Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals
Francesco Asnicar, Sarah Berry, Ana M. Valdes, et al.
Nature Medicine (2021) Vol. 27, Iss. 2, pp. 321-332
Open Access | Times Cited: 693
Tumour-associated and non-tumour-associated microbiota in colorectal cancer
Burkhardt Flemer, Denise B. Lynch, Jillian M R Brown, et al.
Gut (2016) Vol. 66, Iss. 4, pp. 633-643
Open Access | Times Cited: 684
Microbial strain-level population structure and genetic diversity from metagenomes
Duy Tin Truong, Adrian Tett, Edoardo Pasolli, et al.
Genome Research (2017) Vol. 27, Iss. 4, pp. 626-638
Open Access | Times Cited: 672
Gut mucosal microbiome across stages of colorectal carcinogenesis
Geicho Nakatsu, Xiangchun Li, Haokui Zhou, et al.
Nature Communications (2015) Vol. 6, Iss. 1
Open Access | Times Cited: 610
Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer
Mingyang Song, Andrew T. Chan, Jun Sun
Gastroenterology (2019) Vol. 158, Iss. 2, pp. 322-340
Open Access | Times Cited: 605
Akkermansia muciniphila is a promising probiotic
Ting Zhang, Qianqian Li, Lei Cheng, et al.
Microbial Biotechnology (2019) Vol. 12, Iss. 6, pp. 1109-1125
Open Access | Times Cited: 592
MicroRNAs and complex diseases: from experimental results to computational models
Xing Chen, Di Xie, Qi Zhao, et al.
Briefings in Bioinformatics (2017) Vol. 20, Iss. 2, pp. 515-539
Closed Access | Times Cited: 587
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