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:

Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer
Hamed Dashti, Abdollah Dehzangi, Masroor Bayati, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration
Lise Wei, Dipesh Niraula, Evan Gates, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 33

A critical review of the impact of candidate copy number variants on autism spectrum disorder
Seyedeh Sedigheh Abedini, Shiva Akhavantabasi, Yuheng Liang, et al.
Mutation Research/Reviews in Mutation Research (2024) Vol. 794, pp. 108509-108509
Open Access | Times Cited: 4

Molecular methods for colorectal cancer screening: Progress with next-generation sequencing evolution
Salma Abbes, Simone Baldi, Hayet Sellami, et al.
World Journal of Gastrointestinal Oncology (2023) Vol. 15, Iss. 3, pp. 425-442
Open Access | Times Cited: 11

Hybrid HCNN-KNN Model Enhances Age Estimation Accuracy in Orthopantomography
Fatemeh Sharifonnasabi, N. Z. Jhanjhi, Jacob John, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 18

Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer
Amin Ghareyazi, Amir Mohseni, Hamed Dashti, et al.
Cancers (2021) Vol. 13, Iss. 17, pp. 4376-4376
Open Access | Times Cited: 21

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis
Shahab S. Band, Sina Ardabili, Atefeh Yarahmadi, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 15

Quantifying Uncertainty in Automated Detection of Alzheimer’s Patients Using Deep Neural Network
Mohamad Roshanzamir, Afshar Shamsi, Hamzeh Asgharnezhad, et al.
(2023)
Open Access | Times Cited: 6

Investigation of the effects of overexpression of jumping translocation breakpoint (JTB) protein in MCF7 cells for potential use as a biomarker in breast cancer.
Madhuri Jayathirtha, Anca-Narcisa Neagu, Danielle Whitham, et al.
PubMed (2022) Vol. 12, Iss. 4, pp. 1784-1823
Closed Access | Times Cited: 9

Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer
Narges Rezaie, Masroor Bayati, Mehrab Hamidi, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 8

MethEvo: an accurate evolutionary information-based methylation site predictor
Sadia Islam, Shafayat Bin Shabbir Mugdha, Shubhashis Roy Dipta, et al.
Neural Computing and Applications (2022) Vol. 36, Iss. 1, pp. 201-212
Closed Access | Times Cited: 4

A Comprehensive Investigation of Genomic Variants in Prostate Cancer Reveals 30 Putative Regulatory Variants
Mahdieh Labani, Amin Beheshti, Ahmadreza Argha, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 2472-2472
Open Access | Times Cited: 2

Folate intake and colorectal cancer risk according to genetic subtypes defined by targeted tumor sequencing
Elom K. Aglago, Conghui Qu, Sophia Harlid, et al.
American Journal of Clinical Nutrition (2024) Vol. 120, Iss. 3, pp. 664-673
Open Access

DeepPhoPred: Accurate Deep Learning Model to Predict Microbial Phosphorylation
Faisal Ahmed, Alok Sharma, Swakkhar Shatabda, et al.
Proteins Structure Function and Bioinformatics (2024)
Closed Access

A New R Package for Categorizing Coding and Non-Coding Genes
Masroor Bayati, Narges Rezaie, Mehrab Hamidi, et al.
(2023)
Open Access | Times Cited: 1

Page 1

Scroll to top