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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:

Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data
Ananya Malhotra, Bernard Rachet, Audrey Bonaventure, et al.
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0251876-e0251876
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Davide Placido, Bo Yuan, Jessica Xin Hjaltelin, et al.
Nature Medicine (2023) Vol. 29, Iss. 5, pp. 1113-1122
Open Access | Times Cited: 156
Artificial intelligence in pancreatic cancer
Bowen Huang, Haoran Huang, Shuting Zhang, et al.
Theranostics (2022) Vol. 12, Iss. 16, pp. 6931-6954
Open Access | Times Cited: 72
Advancing Pancreatic Cancer Prediction with a Next Visit Token Prediction Head on Top of Med-BERT
Jianping He, Laila Rasmy, Degui Zhi, et al.
Cancers (2025) Vol. 17, Iss. 3, pp. 516-516
Open Access | Times Cited: 1
Enhancing pancreatic cancer diagnostics: Ensemble-based model for automated urine biomarker classification
M. P. Shelly, S. Sivakumari
Computers in Biology and Medicine (2025) Vol. 189, pp. 109997-109997
Closed Access | Times Cited: 1
Early Detection of Pancreatic Cancer
Barbara Kenner, Natalie Abrams, Suresh T. Chari, et al.
Pancreas (2021) Vol. 50, Iss. 7, pp. 916-922
Open Access | Times Cited: 51
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks
Mohamed Esmail Karar, Nawal El‐Fishawy, Marwa Radad
Journal of Biological Engineering (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 22
Artificial Intelligence in the Diagnosis and Treatment of Pancreatic Cystic Lesions and Adenocarcinoma
Joanna Jiang, Wei‐Lun Chao, Stacey Culp, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2410-2410
Open Access | Times Cited: 19
BMI and HbA1c are metabolic markers for pancreatic cancer: Matched case-control study using a UK primary care database
Agnieszka Lemańska, Claire A. Price, Nathan Jeffreys, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0275369-e0275369
Open Access | Times Cited: 20
Integrating Artificial Intelligence with endoscopic ultrasound in the early detection of bilio-pancreatic lesions: current advances and future prospects
Matteo Tacelli, Gaetano Lauri, Daniela Tabacelia, et al.
Best Practice & Research Clinical Gastroenterology (2025), pp. 101975-101975
Closed Access
Impact of Artificial Intelligence on Pancreaticobiliary Endoscopy
Ankit Jain, Mayur Pabba, Aditya Jain, et al.
Cancers (2025) Vol. 17, Iss. 3, pp. 379-379
Open Access
Constructing multicancer risk cohorts using national data from medical helplines and secondary care
Hadi Modarres, Dimitris Pipinis, Divya Balasubramanian, et al.
Research Square (Research Square) (2025)
Closed Access
Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms
Weicheng Zhu, Long Chen, Yindalon Aphinyanaphongs, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Incorporation of explainable artificial intelligence in ensemble machine learning-driven pancreatic cancer diagnosis
Faisal Almisned, Natacha Usanase, Declan Ikechukwu Emegano, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data
Hebatullah Mohamed Abdulazeem, Sera Whitelaw, Gunther Schauberger, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0274276-e0274276
Open Access | Times Cited: 10
An Integrative Pancreatic Cancer Risk Prediction Model in the UK Biobank
Te‐Min Ke, Artitaya Lophatananon, Kenneth Muir
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3206-3206
Open Access | Times Cited: 9
Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data—A Systematic Review and Assessment
Anup Kumar Mishra, Bradford Chong, Shivaram P. Arunachalam, et al.
The American Journal of Gastroenterology (2024) Vol. 119, Iss. 8, pp. 1466-1482
Closed Access | Times Cited: 3
A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams
Robert J. Huang, Nicole S. Kwon, Yutaka Tomizawa, et al.
JCO Clinical Cancer Informatics (2022), Iss. 6
Open Access | Times Cited: 15
Clinical Prediction Models for Pancreatic Cancer in General and At-Risk Populations: A Systematic Review
Ralph Santos, Helen G. Coleman, Victoria Cairnduff, et al.
The American Journal of Gastroenterology (2022) Vol. 118, Iss. 1, pp. 26-40
Open Access | Times Cited: 14
The Utility of Artificial Intelligence in the Diagnosis and Management of Pancreatic Cancer
Vikash Kumar, Mrunanjali Gaddam, Amr A. Moustafa, et al.
Cureus (2023)
Open Access | Times Cited: 7
Risk factors for early-onset pancreatic ductal adenocarcinoma: A systematic literature review
Sreenivasa R Chandana, Laura M. Woods, Fiona Maxwell, et al.
European Journal of Cancer (2023) Vol. 198, pp. 113471-113471
Open Access | Times Cited: 7
Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers
Abolfazl Akbari, Maryam Adabi, Mohsen Masoodi, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
Pancreatic cancer risk predicted from disease trajectories using deep learning
Davide Placido, Bo Yuan, Jessica Xin Hjaltelin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 15
Application of artificial intelligence to pancreatic adenocarcinoma
Xi Chen, Ruibiao Fu, Qian Shao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
Model-based screening for pancreatic cancer in Sweden
Tomasz Draus, Daniel Ansari, Roland Andersson
Scandinavian Journal of Gastroenterology (2022) Vol. 58, Iss. 5, pp. 534-541
Open Access | Times Cited: 9
Machine learning Algorithms and Biomarkers Identification for Pancreatic cancer Diagnosis Using Multi-Omics Data Integration
Arian Karimi Rouzbahani, Ghazaleh Khalili‐Tanha, Yasamin Rajabloo, et al.
Pathology - Research and Practice (2024) Vol. 263, pp. 155602-155602
Closed Access | Times Cited: 1
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