OpenAlex Citation Counts

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:

Impact of the COVID-19 pandemic on diagnosis of respiratory diseases in the Northern Metropolitan Area in Barcelona (Spain)
Ignasi García-Olivé, Francesc López Seguí, Guillem Hernández Guillamet, et al.
Medicina Clínica (2023) Vol. 160, Iss. 9, pp. 392-396
Open Access | Times Cited: 5

Showing 5 citing articles:

Assessment of the impact of COVID-19 on tuberculosis care at a tertiary hospital: integrating lessons from COVID-19 learned
Norma A. Téllez-Navarrete, Jesús Romero-Tendilla, Alejandra Rodríguez Morales, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access

The Impact of Public Health Emergencies on the Prognostic Performance of the mPIRO Scale in Predicting Community-Acquired Pneumonia in Children
婉玲李
Advances in Clinical Medicine (2024) Vol. 14, Iss. 04, pp. 2857-2867
Closed Access

Mortality trends in people with disabilities before and during the COVID-19 pandemic in South Korea, 2017–2022
Ye-Soon Kim, Juhee Kim, Soo-Young Kwon, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access

Three-year survival follow-up of patients with gastrointestinal cancer treated during the COVID-19 pandemic in Spain: data from the PANDORA-TTD20 study
Pilar García‐Alfonso, Paula Jiménez‐Fonseca, Javier Soto-Alsar, et al.
The Oncologist (2024)
Open Access

Mortality Trends in People With Disabilities Before and During the COVID-19 Pandemic in South Korea, 2017–2022
Ye-Soon Kim, Ju-Hee Kim, Soo-Young Kwon, et al.
(2023)
Open Access | Times Cited: 1

Hipertension Demand Forecasting Using Cross-Correlation and Lagged Multiple Linear Regression Models for Anticipating Health Resources Needs
Guillem Hernández Guillamet, Beatriz López, Oriol Estrada, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access

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Requested Article:

Showing 5 citing articles:

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