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:

Biases arising from linked administrative data for epidemiological research: a conceptual framework from registration to analyses
Richard Shaw, Katie Harron, Júlia Moreira Pescarini, et al.
European Journal of Epidemiology (2022) Vol. 37, Iss. 12, pp. 1215-1224
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024)
Pascal Petit, Nicolas Vuillerme
JMIR Public Health and Surveillance (2025) Vol. 11, pp. e62939-e62939
Open Access | Times Cited: 2

Thirty-three myths and misconceptions about population data: from data capture and processing to linkage
Peter Christen, Rainer Schnell
International Journal for Population Data Science (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 24

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
Joseph Alderman, Joanne Palmer, Elinor Laws, et al.
The Lancet Digital Health (2024) Vol. 7, Iss. 1, pp. e64-e88
Open Access | Times Cited: 9

(In)visible Sanctions: Micro-level Evidence on Compulsory Activation for Young Welfare Recipients
Bård Smedsvik, Roberto Iacono
Journal of Social Policy (2023), pp. 1-21
Open Access | Times Cited: 12

Child welfare worker perspectives on documentation and case recording practices in Canada: A mixed-methods study protocol
Nathaniel J. Pollock, Cassandra Yantha, Lil Tonmyr, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316238-e0316238
Open Access

Epidemiological methods in transition: Minimizing biases in classical and digital approaches
Sara Mesquita, Lília Perfeito, Daniela Paolotti, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 1, pp. e0000670-e0000670
Open Access

Impact of record-linkage errors in Covid-19 vaccine-safety analyses using German health-care data: a simulation study
Robin Denz, Katharina Meiszl, Peter Ihle, et al.
Communications in Statistics - Simulation and Computation (2025), pp. 1-12
Open Access

Occupational differences in COVID-19 hospital admission and mortality risks between women and men in Scotland: a population-based study using linked administrative data
Serena Pattaro, Nick Bailey, Chris Dibben
Occupational and Environmental Medicine (2025), pp. oemed-109562
Closed Access

Time-varying living arrangements and suicide death in the general population sample: 14-year causal survival analysis via pooled logistic regression
Zui Narita, Tomohiro Shinozaki, Atsushi Goto, et al.
Epidemiology and Psychiatric Sciences (2024) Vol. 33
Open Access | Times Cited: 3

Prenatal maternal infections and early childhood developmental outcomes: analysis of linked administrative health data for Greater Glasgow & Clyde, Scotland
Iain Hardie, Aja Louise Murray, Josiah King, et al.
Journal of Child Psychology and Psychiatry (2024)
Open Access | Times Cited: 2

Machine learning prediction of major adverse cardiac events after elective bariatric surgery
Gustavo Romero‐Velez, Jerry T. Dang, Juan S. Barajas‐Gamboa, et al.
Surgical Endoscopy (2023) Vol. 38, Iss. 1, pp. 319-326
Closed Access | Times Cited: 4

Creating a learning health system to include environmental determinants of health: The GroundsWell experience
Sarah Rodgers, Rebecca Geary, Roberto Villegas‐Diaz, et al.
Learning Health Systems (2024) Vol. 8, Iss. 4
Open Access | Times Cited: 1

Selection Bias from Data Processing in N3C
Atefehsadat Haghighathoseini, Mohammad Qodrati, Hua Min, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 234-241
Closed Access | Times Cited: 1

Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations
Joseph Alderman, Joanne Palmer, Elinor Laws, et al.
NEJM AI (2024) Vol. 2, Iss. 1
Closed Access | Times Cited: 1

Impact of Primary Health Care Data Quality on Infectious Disease Surveillance: A Case Study from Brazil (Preprint)
Pilar Tavares Veras Florentino, Juracy Bertoldo, George Barbosa, et al.
JMIR Public Health and Surveillance (2024)
Open Access | Times Cited: 1

Ethnic inequalities in positive SARS-CoV-2 tests, infection prognosis, COVID-19 hospitalisations and deaths: analysis of 2 years of a record linked national cohort study in Scotland
Sarah Amele, Eliud Kibuchi, Ronan McCabe, et al.
Journal of Epidemiology & Community Health (2023) Vol. 77, Iss. 10, pp. 641-648
Open Access | Times Cited: 3

Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?
Alice R Carter, Gemma Clayton, Maria Carolina Borges, et al.
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 2

Prenatal maternal infections and early childhood developmental outcomes: Analysis of linked administrative health data for Greater Glasgow & Clyde, Scotland
Iain Hardie, Aja Louise Murray, Josiah King, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

Chance, ignorance, and the paradoxes of cancer: Richard Peto on developing preventative strategies under uncertainty
George Davey Smith, Albert Hofman, Paul Brennan
European Journal of Epidemiology (2023) Vol. 38, Iss. 12, pp. 1227-1237
Open Access | Times Cited: 2

Linking migration and hospital data in England: linkage process and evaluation of bias
Rachel Burns, Sacha Wyke, Yamina Boukari, et al.
International Journal for Population Data Science (2024) Vol. 9, Iss. 1
Open Access

Secondary use of routinely collected administrative health data for epidemiologic research: Answering research questions using data collected for a different purpose
Scott D. Emerson, Taylor McLinden, Paul Sereda, et al.
International Journal for Population Data Science (2024) Vol. 9, Iss. 1
Open Access

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