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:

Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks
Maxwell Salvatore, Lauren J. Beesley, Lars G. Fritsche, et al.
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103652-103652
Open Access | Times Cited: 24

Showing 24 citing articles:

Using Phecodes for Research with the Electronic Health Record: From PheWAS to PheRS
Lisa Bastarache
Annual Review of Biomedical Data Science (2021) Vol. 4, Iss. 1, pp. 1-19
Open Access | Times Cited: 139

UK Biobank: a globally important resource for cancer research
Megan Conroy, Ben Lacey, Jelena Bešević, et al.
British Journal of Cancer (2022) Vol. 128, Iss. 4, pp. 519-527
Open Access | Times Cited: 92

Swellable PVA/PVP hydrogel microneedle patches for the extraction of interstitial skin fluid toward minimally invasive monitoring of blood glucose level
Na Xu, Manyue Zhang, Wenxin Xu, et al.
The Analyst (2022) Vol. 147, Iss. 7, pp. 1478-1491
Closed Access | Times Cited: 63

FSPBO-DQN: SeGAN based segmentation and Fractional Student Psychology Optimization enabled Deep Q Network for skin cancer detection in IoT applications
K. Suresh Kumar, N. Suganthi, Satish Muppidi, et al.
Artificial Intelligence in Medicine (2022) Vol. 129, pp. 102299-102299
Closed Access | Times Cited: 29

Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US
Lars G. Fritsche, Weijia Jin, Andrew J. Admon, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 4, pp. 1328-1328
Open Access | Times Cited: 18

A minimally invasive sensing system based on hydrogel microneedle patches and Au/Cu2O nanospheres modified screen-printed carbon electrode for glucose monitoring in interstitial skin fluid
Dalan Jin, Zijing Xu, Zhao Hong-yi, et al.
Microchemical Journal (2024) Vol. 205, pp. 111367-111367
Closed Access | Times Cited: 8

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

Cancer incidence inconsistency between UK Biobank participants and the population: a prospective cohort study
Chenxi Li, Gillian S. Dite, Tuong L. Nguyen, et al.
BMC Medicine (2025) Vol. 23, Iss. 1
Open Access

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction
Riccardo Farinella, Alessio Felici, Giulia Peduzzi, et al.
Seminars in Cancer Biology (2025)
Open Access

The Role of Electronic Health Records in Advancing Genomic Medicine
Jodell E. Linder, Lisa Bastarache, Jacob Hughey, et al.
Annual Review of Genomics and Human Genetics (2021) Vol. 22, Iss. 1, pp. 219-238
Open Access | Times Cited: 21

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

Two data-driven approaches to identifying the spectrum of problematic opioid use: A pilot study within a chronic pain cohort
Lori Schirle, Alvin D. Jeffery, Ali Yaqoob, et al.
International Journal of Medical Informatics (2021) Vol. 156, pp. 104621-104621
Open Access | Times Cited: 18

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

Sex-Related Differences in Pancreatic Ductal Adenocarcinoma Progression and Response to Therapy
Jelena Grahovac, Ana Djurić, Miljana Tanić, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 12669-12669
Open Access | Times Cited: 1

A review of disease risk prediction methods and applications in the omics era
Chen Sun, Xiangshu Cheng, Jing Xu, et al.
PROTEOMICS (2024)
Closed Access | Times Cited: 1

Real-Time Identification of Pancreatic Cancer Cases Using Artificial Intelligence Developed on Danish Nationwide Registry Data
Anders Bo Bojesen, Frank Viborg Mortensen, Jakob Kirkegård
JCO Clinical Cancer Informatics (2023), Iss. 7
Closed Access | Times Cited: 3

Creation of a collection of blood samples of patients with multiple myeloma
N. V. Gnennaya, С. В. Тимофеева, A. О. Sitkovskaya, et al.
CARDIOVASCULAR THERAPY AND PREVENTION (2022) Vol. 20, Iss. 8, pp. 3043-3043
Open Access | Times Cited: 3

Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 infection (PASC) in a Large Academic Medical Center in the US
Lars G. Fritsche, Weijia Jin, Andrew J. Admon, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3

Do Polygenic Risk Scores Add to Clinical Data in Predicting Pancreatic Cancer? A Scoping Review
Louise Wang, Alyssa Grimshaw, Catherine Mezzacappa, et al.
Cancer Epidemiology Biomarkers & Prevention (2023) Vol. 32, Iss. 11, pp. 1490-1497
Open Access | Times Cited: 1

Two Data-Driven Approaches to Identifying the Spectrum of Problematic Opioid Use: A Pilot Study within a Chronic Pain Cohort
Lori Schirle, Alvin D. Jeffery, Ali Yaqoob, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access

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