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:

Racial and Ethnic Bias in Risk Prediction Models for Colorectal Cancer Recurrence When Race and Ethnicity Are Omitted as Predictors
Sara Khor, Eric C. Haupt, Erin E. Hahn, et al.
JAMA Network Open (2023) Vol. 6, Iss. 6, pp. e2318495-e2318495
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Demographic bias in misdiagnosis by computational pathology models
Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 1174-1190
Closed Access | Times Cited: 22

Uses and limitations of artificial intelligence for oncology
Likhitha Kolla, Ravi B. Parikh
Cancer (2024) Vol. 130, Iss. 12, pp. 2101-2107
Open Access | Times Cited: 16

Artificial Intelligence in Cardiovascular Care—Part 2: Applications
Sneha S. Jain, Pierre Elias, Timothy J. Poterucha, et al.
Journal of the American College of Cardiology (2024) Vol. 83, Iss. 24, pp. 2487-2496
Closed Access | Times Cited: 16

A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness
Farah Kidwai‐Khan, Rixin Wang, Melissa Skanderson, et al.
Journal of Biomedical Informatics (2024) Vol. 154, pp. 104654-104654
Closed Access | Times Cited: 7

A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes
Azar Kazemi, Ashkan Rasouli‐Saravani, Masoumeh Gharib, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108306-108306
Closed Access | Times Cited: 6

A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction
Achamyeleh Birhanu Teshale, Htet Lin Htun, Mor Vered, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 5

A Framework for Considering the Value of Race and Ethnicity in Estimating Disease Risk
Madison Coots, Soroush Saghafian, David M. Kent, et al.
Annals of Internal Medicine (2024)
Closed Access | Times Cited: 5

Race adjustments in clinical algorithms can help correct for racial disparities in data quality
Anna Zink, Ziad Obermeyer, Emma Pierson
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 34
Open Access | Times Cited: 4

Fairness in Low Birthweight Predictive Models: Implications of Excluding Race/Ethnicity
Clare C. Brown, Michael R. Thomsen, Benjamin C. Amick, et al.
Journal of Racial and Ethnic Health Disparities (2025)
Closed Access

Combating cardiovascular disease disparities: the potential role of artificial intelligence
Chisom J Orakwue, Farbod Zahedi Tajrishi, Constance M Gistand, et al.
American Journal of Preventive Cardiology (2025) Vol. 22, pp. 100954-100954
Open Access

Equitable machine learning counteracts ancestral bias in precision medicine
Leslie Smith, James A. Cahill, Ji–Hyun Lee, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Individual- and Group-Level Disparities Between Racial and Ethnic Groups in Lung Cancer Screening Eligibility Criteria
Corey D. Young, Hormuzd A. Katki, Li C. Cheung, et al.
JAMA Network Open (2025) Vol. 8, Iss. 3, pp. e252172-e252172
Open Access

Prospective Validation and Implementation Pilot Study of an Emergency Department Heart Failure Risk Stratification Tool
Dana R. Sax, Jie Huang, Dustin G. Mark, et al.
JACC Heart Failure (2025)
Closed Access

Fairness of Machine Learning Algorithms for Predicting Foregone Preventive Dental Care for Adults
Helena Silveira Schuch, Mariane Furtado Borba, Gabriel Ferreira dos Santos Silva, et al.
JAMA Network Open (2023) Vol. 6, Iss. 11, pp. e2341625-e2341625
Open Access | Times Cited: 10

Incorporating Anti-racist Principles Throughout the Research Lifecycle: A Position Statement from the Society of General Internal Medicine (SGIM)
Christopher González, Sudarshan Krishnamurthy, F. Rollin, et al.
Journal of General Internal Medicine (2024) Vol. 39, Iss. 10, pp. 1922-1931
Closed Access | Times Cited: 3

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor
Keren Ladin, John Cuddeback, O. Kenrik Duru, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3

A Clinician’s Guide to Understanding Bias in Critical Clinical Prediction Models
João Matos, Jack Gallifant, Anand Chowdhury, et al.
Critical Care Clinics (2024) Vol. 40, Iss. 4, pp. 827-857
Closed Access | Times Cited: 2

Dynamic and Transdiagnostic Risk Calculator Based on Natural Language Processing for the Prediction of Psychosis in Secondary Mental Health Care: Development and Internal-External Validation Cohort Study
Kamil Krakowski, Dominic Oliver, Maite Arribas, et al.
Biological Psychiatry (2024) Vol. 96, Iss. 7, pp. 604-614
Closed Access | Times Cited: 1

Race Corrections in Clinical Algorithms Can Help Correct for Racial Disparities in Data Quality
Anna Zink, Ziad Obermeyer, Emma Pierson
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Focusing on Decisions, Outcomes, and Value Judgments to Confront Algorithmic Bias
Apurvakumar Pandya, Jinyi Zhu
JAMA Network Open (2023) Vol. 6, Iss. 6, pp. e2318501-e2318501
Open Access | Times Cited: 2

Using Routine Data to Improve Lesbian, Gay, Bisexual, and Transgender Health
Catherine L. Saunders
Interactive Journal of Medical Research (2024) Vol. 13, pp. e53311-e53311
Open Access

Paradoxical Association of B7-H3 with Clinical Outcomes in Patients with Colorectal Cancer
Sanjay Goel, Yan Huang, Ana Acuña-Villaorduña, et al.
(2024)
Closed Access

The clinical and molecular landscape of breast cancer in women of African and South Asian ancestry
Graeme J. Thorn, Emanuela Gadaleta, Maryam Abdollahyan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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