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:

A Novel 3-Gene Signature for Identifying COVID-19 Patients Based on Bioinformatics and Machine Learning
Guichuan Lai, Hui Liu, Jielian Deng, et al.
Genes (2022) Vol. 13, Iss. 9, pp. 1602-1602
Open Access | Times Cited: 17

Showing 17 citing articles:

Identification and validation of neurotrophic factor-related gene signatures in glioblastoma and Parkinson’s disease
Songyun Zhao, Hao Chi, Qian Yang, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 60

Development of a novel immune infiltration-related diagnostic model for Alzheimer’s disease using bioinformatic strategies
Xianbo Zhuang, Guifeng Zhang, Mengxin Bao, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 8

Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer
Wanze Huang, Duntao Su, Liao Xin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5

AITeQ: a machine learning framework for Alzheimer’s prediction using a distinctive five-gene signature
Ishtiaque Ahammad, Anika Bushra Lamisa, Arittra Bhattacharjee, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 1

Construction and experimental validation of a B cell senescence–related gene signature to evaluate prognosis and immunotherapeutic sensitivity in bladder cancer
Ranran Zhou, Jiawei Zhou, Bahaerguli Muhuitijiang, et al.
Functional & Integrative Genomics (2022) Vol. 23, Iss. 1
Closed Access | Times Cited: 8

Identification of immune-related gene signature for predicting prognosis in uterine corpus endometrial carcinoma
Siyuan Song, Haoqing Gu, Jingzhan Li, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3

A novel Cuprotosis-related signature predicts the prognosis and selects personal treatments for melanoma based on bioinformatics analysis
Bingqian Hu, Alphonse Houssou Hounye, Zheng Wang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2

The p53 tumor suppressor protein activates transcription of DUSP13 isoform from the alternative promoter in intron
Małgorzata Krześniak, Barbara Łasut-Szyszka, Agnieszka Będzińska, et al.
(2024)
Open Access

The Strong Activation of p53 Tumor Suppressor Drives the Synthesis of the Enigmatic Isoform of DUSP13 Protein
Małgorzata Krześniak, Barbara Łasut-Szyszka, Agnieszka Będzińska, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1449-1449
Open Access

Immune Characteristic Genes and Neutrophil Immune Transformation Studies in Severe COVID-19
Zhaoming Zhou, Xin Zeng, Jing Liao, et al.
Microorganisms (2024) Vol. 12, Iss. 4, pp. 737-737
Open Access

A novel machine learning model based on ubiquitin-related gene pairs and clinical features to predict prognosis and treatment effect in colon adenocarcinoma
Liping Liang, Le Liu, Shijie Mai, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 1

AITeQ: A machine learning framework for Alzheimer’s prediction using a distinctive 5-gene signature
Ishtiaque Ahammad, Anika Bushra Lamisa, Arittra Bhattacharjee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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