Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 21 citing articles:

Cancer pharmacomicrobiomics: targeting microbiota to optimise cancer therapy outcomes
Nick Lung-Ngai Ting, Harry Cheuk-Hay Lau, Jun Yu
Gut (2022) Vol. 71, Iss. 7, pp. 1412-1425
Open Access | Times Cited: 173
The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review
Ben Allen
Journal of Personalized Medicine (2024) Vol. 14, Iss. 3, pp. 277-277
Open Access | Times Cited: 23
Methodology for biomarker discovery with reproducibility in microbiome data using machine learning
David Rojas-Velázquez, Sarah Kidwai, Aletta D. Kraneveld, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Guideline for designing microbiome studies in neoplastic diseases
Edit Mikó, Adrienn Sipos, Emese Tóth, et al.
GeroScience (2024) Vol. 46, Iss. 5, pp. 4037-4057
Open Access | Times Cited: 6
Operationalizing Team Science at the Academic Cancer Center Network to Unveil the Structure and Function of the Gut Microbiome
Kevin McDonnell
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 2040-2040
Open Access
The gut microbiome and cancer: from tumorigenesis to therapy
Amandine Nobels, Cédric van Marcke, Bénédicte F. Jordan, et al.
Nature Metabolism (2025)
Closed Access
It takes guts to learn: machine learning techniques for disease detection from the gut microbiome
Kristen Curry, Michael Nute, Todd J. Treangen
Emerging Topics in Life Sciences (2021) Vol. 5, Iss. 6, pp. 815-827
Open Access | Times Cited: 20
Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production
Kristen L. Beck, Niina Haiminen, Akshay Agarwal, et al.
mSystems (2024) Vol. 9, Iss. 11
Open Access | Times Cited: 2
The crosstalk of the human microbiome in breast and colon cancer: A metabolomics analysis
Anirban Goutam Mukherjee, Uddesh Ramesh Wanjari, Pragya Bradu, et al.
Critical Reviews in Oncology/Hematology (2022) Vol. 176, pp. 103757-103757
Closed Access | Times Cited: 11
Gut Microbiota and Therapy in Metastatic Melanoma: Focus on MAPK Pathway Inhibition
Mora Guardamagna, Miguel‐Ángel Berciano‐Guerrero, Beatriz Villaescusa-González, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 11990-11990
Open Access | Times Cited: 11
The influence of machine learning technologies in gut microbiome research and cancer studies - A review
Tamizhini Loganathan, C. George Priya Doss
Life Sciences (2022) Vol. 311, pp. 121118-121118
Closed Access | Times Cited: 9
Gut microbiota-drug interactions in cancer pharmacotherapies: implications for efficacy and adverse effects
Sarah‐Jane Leigh, Caoimhe M.K. Lynch, Brian Bird, et al.
Expert Opinion on Drug Metabolism & Toxicology (2022) Vol. 18, Iss. 1, pp. 5-26
Open Access | Times Cited: 8
MarkerML – Marker Feature Identification in Metagenomic Datasets Using Interpretable Machine Learning
Sunil Nagpal, Rohan Singh, Bhupesh Taneja, et al.
Journal of Molecular Biology (2022) Vol. 434, Iss. 11, pp. 167589-167589
Closed Access | Times Cited: 8
Gut microbiota depletion and FXR inhibition exacerbates zonal hepatotoxicity of sunitinib
Qi Zhao, Ying‐Mei Lu, Jingyi Duan, et al.
Theranostics (2024) Vol. 14, Iss. 18, pp. 7219-7240
Open Access | Times Cited: 1
Explainable Machine Learning for Longitudinal Multi-Omic Microbiome
Paula Laccourreye, Concha Bielza, Pedro Larrañaga
Mathematics (2022) Vol. 10, Iss. 12, pp. 1994-1994
Open Access | Times Cited: 7
Artificial intelligence in pharmacovigilance: Do we need explainability?
Manfred Hauben
Pharmacoepidemiology and Drug Safety (2022) Vol. 31, Iss. 12, pp. 1311-1316
Closed Access | Times Cited: 6
Tumor resident microbiota and response to therapies: An insight on tissue bacterial microbiota
Francesca Pirini, Michela Cortesi, Maria Maddalena Tumedei, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 10
Open Access | Times Cited: 3
Interpreting tree ensemble machine learning models with endoR
Albane Ruaud, Niklas Pfister, Ruth E. Ley, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 12, pp. e1010714-e1010714
Open Access | Times Cited: 4
Microbiota in Cancer Immunotherapy: The Next Milestone of Immuno-oncology?
Nick Lung-Ngai Ting, Jun Yu
(2023), pp. 269-287
Closed Access | Times Cited: 1
Methodology for Biomarker Discovery with Reproducibility in Microbiome Data using Machine Learning
David Rojas-Velázquez, Sarah Kidwai, Aletta D. Kraneveld, et al.
Research Square (Research Square) (2023)
Open Access
Interpreting tree ensemble machine learning models with endoR
Albane Ruaud, Niklas Pfister, Ruth E. Ley, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Detecting anomalous content in dairy with whole metagenome sequencing
Kristen L. Beck, Niina Haiminen, Akshay Agarwal, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Page 1

Scroll to top