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:

Definition of the Immune Parameters Related to COVID-19 Severity
Sarah Birindelli, Maciej Tarkowski, Marcello Gallucci, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 7

Showing 7 citing articles:

A Review of the Hematological Picture of Severe COVID-19 Infection
Dominga Amoroso, Stefania Bongo, Anna Copponi, et al.
Cureus (2025)
Open Access

Investigating Biomarkers for COVID-19 Morbidity and Mortality
Marco Fiore, Flavio Maria Ceci, Giampiero Ferraguti, et al.
Current Topics in Medicinal Chemistry (2023) Vol. 23, Iss. 13, pp. 1196-1210
Closed Access | Times Cited: 9

T Cells Immunophenotyping and CD38 Overexpression as Hallmarks of the Severity of COVID-19 and Predictors of Patients’ Outcomes
Nesrin I. Tarbiah, Nuha A. Alkhattabi, Abdullah J. Alsahafi, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 2, pp. 710-710
Open Access | Times Cited: 4

Inflammatory, Hematological, and Biochemical Biomarkers in COVID‐19 Patients
Rebeccah M. Ayako, Kirtika Patel, Isaac Ndede, et al.
Immunity Inflammation and Disease (2024) Vol. 12, Iss. 12
Open Access | Times Cited: 1

General immunologic reactivity of patients with COVID-19 and its relation to gene polymorphism, severity of clinical course of the disease and combination with comorbidities
М.О. Соколенко, Larysa Sydorchuk, L.S. Sоkolenko, et al.
Medicni perspektivi (2024) Vol. 29, Iss. 3, pp. 108-117
Open Access

Lymphocyte and neutrophil count combined with intestinal bacteria abundance predict the severity of COVID-19
Liuying Chen, Zhongwei Yin, Dan Zhou, et al.
Microbiology Spectrum (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 1

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