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:

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
Melissa Haendel, Christopher G. Chute, Tellen D. Bennett, et al.
Journal of the American Medical Informatics Association (2020) Vol. 28, Iss. 3, pp. 427-443
Open Access | Times Cited: 454

Showing 1-25 of 454 citing articles:

Association Between Immune Dysfunction and COVID-19 Breakthrough Infection After SARS-CoV-2 Vaccination in the US
Jing Sun, Qulu Zheng, Vithal Madhira, et al.
JAMA Internal Medicine (2021) Vol. 182, Iss. 2, pp. 153-153
Open Access | Times Cited: 238

Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative
Tellen D. Bennett, Richard A. Moffitt, Janos Hajagos, et al.
JAMA Network Open (2021) Vol. 4, Iss. 7, pp. e2116901-e2116901
Open Access | Times Cited: 208

A global federated real-world data and analytics platform for research
Matvey B. Palchuk, Jack London, David Pérez-Rey, et al.
JAMIA Open (2023) Vol. 6, Iss. 2
Open Access | Times Cited: 169

Identifying who has long COVID in the USA: a machine learning approach using N3C data
Emily Pfaff, Andrew T. Girvin, Tellen D. Bennett, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 7, pp. e532-e541
Open Access | Times Cited: 160

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin W. Sexton, et al.
JMIR Medical Informatics (2020) Vol. 9, Iss. 1, pp. e23811-e23811
Open Access | Times Cited: 137

Characteristics, Outcomes, and Severity Risk Factors Associated With SARS-CoV-2 Infection Among Children in the US National COVID Cohort Collaborative
Blake Martin, Peter DeWitt, Seth Russell, et al.
JAMA Network Open (2022) Vol. 5, Iss. 2, pp. e2143151-e2143151
Open Access | Times Cited: 130

Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes
Justin Reese, Hannah Blau, Elena Casiraghi, et al.
EBioMedicine (2022) Vol. 87, pp. 104413-104413
Open Access | Times Cited: 120

Challenges in defining Long COVID: Striking differences across literature, Electronic Health Records, and patient-reported information
Halie M. Rando, Tellen D. Bennett, James Brian Byrd, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 119

Outcomes of COVID-19 in Patients With Cancer: Report From the National COVID Cohort Collaborative (N3C)
Noha Sharafeldin, Benjamin Bates, Qianqian Song, et al.
Journal of Clinical Oncology (2021) Vol. 39, Iss. 20, pp. 2232-2246
Open Access | Times Cited: 119

Cannabidiol inhibits SARS-CoV-2 replication through induction of the host ER stress and innate immune responses
Long C. Nguyen, Dongbo Yang, Vlad Nicolaescu, et al.
Science Advances (2022) Vol. 8, Iss. 8
Open Access | Times Cited: 112

Coding long COVID: characterizing a new disease through an ICD-10 lens
Emily Pfaff, Charisse Madlock‐Brown, John M. Baratta, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 112

Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
M. Daniel Brannock, Rob Chew, Alexander Preiss, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 96

Risk and Outcome of Breakthrough COVID-19 Infections in Vaccinated Patients With Cancer: Real-World Evidence From the National COVID Cohort Collaborative
Qianqian Song, Benjamin Bates, Yu Raymond Shao, et al.
Journal of Clinical Oncology (2022) Vol. 40, Iss. 13, pp. 1414-1427
Open Access | Times Cited: 94

The Human Phenotype Ontology in 2024: phenotypes around the world
Michael Gargano, Nicolas Matentzoglu, Ben Coleman, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D1333-D1346
Open Access | Times Cited: 84

OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization
Christian Reich, Anna Ostropolets, Patrick Ryan, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 3, pp. 583-590
Open Access | Times Cited: 37

A General Primer for Data Harmonization
Cindy Cheng, Luca Messerschmidt, Isaac Bravo, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 15

The changing demographics and severity in hospitalized patients Across COVID-19 Variants: A National Cohort Study
Priyanka Parajuli, Lisa Phipps, Roy Sabo, et al.
Journal of Clinical and Translational Science (2025) Vol. 9, Iss. 1
Open Access | Times Cited: 1

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study
Edward Burn, Seng Chan You, Anthony G. Sena, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 104

Outcomes of SARS-CoV-2 Infection in Patients With Chronic Liver Disease and Cirrhosis: A National COVID Cohort Collaborative Study
Jin Ge, Mark J. Pletcher, Jennifer C. Lai, et al.
Gastroenterology (2021) Vol. 161, Iss. 5, pp. 1487-1501.e5
Open Access | Times Cited: 99

Health disparities and equity in the era of COVID-19
Patrick Nana‐Sinkam, Jennifer L. Kraschnewski, Ralph L. Sacco, et al.
Journal of Clinical and Translational Science (2021) Vol. 5, Iss. 1
Open Access | Times Cited: 86

Long COVID and kidney disease
Sachin Yende, Chirag R. Parikh
Nature Reviews Nephrology (2021) Vol. 17, Iss. 12, pp. 792-793
Open Access | Times Cited: 83

Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers
Subha Madhavan, Lisa Bastarache, Jeffrey S. Brown, et al.
Journal of the American Medical Informatics Association (2020) Vol. 28, Iss. 2, pp. 393-401
Open Access | Times Cited: 80

The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond
Julian Saß, Alexander Bartschke, Moritz Lehne, et al.
BMC Medical Informatics and Decision Making (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 77

Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset
Carlos Sáez, Nekane Romero-García, J. Alberto Conejero, et al.
Journal of the American Medical Informatics Association (2020) Vol. 28, Iss. 2, pp. 360-364
Open Access | Times Cited: 74

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