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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:

Analysis of composition of microbiomes: a novel method for studying microbial composition
Siddhartha Mandal, Will Van Treuren, Richard White, et al.
Microbial Ecology in Health and Disease (2015) Vol. 26
Open Access | Times Cited: 1859

Showing 1-25 of 1859 citing articles:

Gut Microbiota Regulate Motor Deficits and Neuroinflammation in a Model of Parkinson’s Disease
Timothy R. Sampson, Justine W. Debelius, Taren Thron, et al.
Cell (2016) Vol. 167, Iss. 6, pp. 1469-1480.e12
Open Access | Times Cited: 2962
Microbiome Datasets Are Compositional: And This Is Not Optional
Gregory B. Gloor, Jean M. Macklaim, Vera Pawlowsky‐Glahn, et al.
Frontiers in Microbiology (2017) Vol. 8
Open Access | Times Cited: 2281
Normalization and microbial differential abundance strategies depend upon data characteristics
Sophie Weiss, Zhenjiang Zech Xu, Shyamal D. Peddada, et al.
Microbiome (2017) Vol. 5, Iss. 1
Open Access | Times Cited: 1761
Best practices for analysing microbiomes
Rob Knight, Alison Vrbanac, Bryn C. Taylor, et al.
Nature Reviews Microbiology (2018) Vol. 16, Iss. 7, pp. 410-422
Closed Access | Times Cited: 1430
Multivariable association discovery in population-scale meta-omics studies
Himel Mallick, Ali Rahnavard, Lauren J. McIver, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 11, pp. e1009442-e1009442
Open Access | Times Cited: 1408
Analysis of compositions of microbiomes with bias correction
Huang Lin, Shyamal Peddada
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 1403
You are what you eat: diet, health and the gut microbiota
Niv Zmora, Jotham Suez, Eran Elinav
Nature Reviews Gastroenterology & Hepatology (2018) Vol. 16, Iss. 1, pp. 35-56
Closed Access | Times Cited: 1344
Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients
Erez N. Baruch, Ilan Youngster, Guy Ben‐Betzalel, et al.
Science (2020) Vol. 371, Iss. 6529, pp. 602-609
Closed Access | Times Cited: 1148
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
Parkinson's disease and Parkinson's disease medications have distinct signatures of the gut microbiome
Erin M. Hill‐Burns, Justine W. Debelius, James T. Morton, et al.
Movement Disorders (2017) Vol. 32, Iss. 5, pp. 739-749
Open Access | Times Cited: 766
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
Microbiome-wide association studies link dynamic microbial consortia to disease
Jack A. Gilbert, Robert A. Quinn, Justine W. Debelius, et al.
Nature (2016) Vol. 535, Iss. 7610, pp. 94-103
Closed Access | Times Cited: 664
Microbiome differential abundance methods produce different results across 38 datasets
Jacob T. Nearing, Gavin M. Douglas, Molly G. Hayes, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 559
Establishing microbial composition measurement standards with reference frames
James T. Morton, Clarisse Marotz, Alex Washburne, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 553
Functional implications of microbial and viral gut metagenome changes in early stage L-DOPA-naïve Parkinson’s disease patients
Janis R. Bedarf, Falk Hildebrand, Luís Pedro Coelho, et al.
Genome Medicine (2017) Vol. 9, Iss. 1
Open Access | Times Cited: 528
The nasal and gut microbiome in Parkinson's disease and idiopathic rapid eye movement sleep behavior disorder
Anna Heintz‐Buschart, Urvashi Pandey, Tamara Wicke, et al.
Movement Disorders (2017) Vol. 33, Iss. 1, pp. 88-98
Open Access | Times Cited: 500
Inflammation-induced IgA+ cells dismantle anti-liver cancer immunity
Shabnam Shalapour, Xue-Jia Lin, Ingmar N. Bastian, et al.
Nature (2017) Vol. 551, Iss. 7680, pp. 340-345
Open Access | Times Cited: 483
New Insights into Human Nostril Microbiome from the Expanded Human Oral Microbiome Database (eHOMD): a Resource for the Microbiome of the Human Aerodigestive Tract
Isabel F. Escapa, Tsute Chen, Yanmei Huang, et al.
mSystems (2018) Vol. 3, Iss. 6
Open Access | Times Cited: 465
Host variables confound gut microbiota studies of human disease
Ivan Vujkovic-Cvijin, Jack Sklar, Lingjing Jiang, et al.
Nature (2020) Vol. 587, Iss. 7834, pp. 448-454
Open Access | Times Cited: 440
Antibiotic-induced microbiome depletion alters metabolic homeostasis by affecting gut signaling and colonic metabolism
Amir Zarrinpar, Amandine Chaix, Zhenjiang Zech Xu, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 429
QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data
Mehrbod Estaki, Lingjing Jiang, Nicholas A. Bokulich, et al.
Current Protocols in Bioinformatics (2020) Vol. 70, Iss. 1
Open Access | Times Cited: 367
Extreme Dysbiosis of the Microbiome in Critical Illness
Daniel McDonald, Gail Ackermann, Ludmila Khailová, et al.
mSphere (2016) Vol. 1, Iss. 4
Open Access | Times Cited: 351
Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data
Gregory B. Gloor, Gregor Reid
Canadian Journal of Microbiology (2016) Vol. 62, Iss. 8, pp. 692-703
Open Access | Times Cited: 334
A phylogenetic transform enhances analysis of compositional microbiota data
Justin D. Silverman, Alex Washburne, Sayan Mukherjee, et al.
eLife (2017) Vol. 6
Open Access | Times Cited: 307
Analysis of Microbiome Data in the Presence of Excess Zeros
Abhishek Kaul, Siddhartha Mandal, Ori Davidov, et al.
Frontiers in Microbiology (2017) Vol. 8
Open Access | Times Cited: 301
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