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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:

Hemocytometric characteristics of COVID-19 patients with and without cytokine storm syndrome on the sysmex XN-10 hematology analyzer
Remy J.H. Martens, Arjan J. van Adrichem, Nadine J.A. Mattheij, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2020) Vol. 59, Iss. 4, pp. 783-793
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Hematological changes associated with COVID‐19 infection
Enass Abdul Kareem Dagher Al‐Saadi, Marwa Ali Abdulnabi
Journal of Clinical Laboratory Analysis (2021) Vol. 36, Iss. 1
Open Access | Times Cited: 61
Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Annals of Medicine (2023) Vol. 55, Iss. 1
Open Access | Times Cited: 17
Coronavirus disease 2019 (COVID-19) and autoimmunity
Е. Л. Насонов
Rheumatology Science and Practice (2021) Vol. 59, Iss. 1, pp. 5-30
Open Access | Times Cited: 33
Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score
Emirena Garrafa, Marika Vezzoli, Marco Ravanelli, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 33
A Review of the Hematological Picture of Severe COVID-19 Infection
Dominga Amoroso, Stefania Bongo, Anna Copponi, et al.
Cureus (2025)
Open Access
Predictive Role of Non-Viral Leukocyte Parameters in Tracking the Development and Progression of CCHF
Yasemin Çakır, Serkan Bolat, Mürşit Hasbek, et al.
Microbial Pathogenesis (2025), pp. 107471-107471
Closed Access
Low atypical lymphocyte score as a predictor of non-severe dengue
Chandramathi Samudi Raju, Mari Kono, Kah Wai Looi, et al.
BMC Infectious Diseases (2025) Vol. 25, Iss. 1
Open Access
Neutrophil Maturation, Reactivity and Granularity Research Parameters to Characterize and Differentiate Convalescent Patients from Active SARS-CoV-2 Infection
Iwona Kwiecień, Elżbieta Rutkowska, Katarzyna Kulik, et al.
Cells (2021) Vol. 10, Iss. 9, pp. 2332-2332
Open Access | Times Cited: 25
Cytokine “storm”, cytokine “breeze”, or both in COVID-19?
Giuseppe Lippi, Mario Plebani
Clinical Chemistry and Laboratory Medicine (CCLM) (2020) Vol. 59, Iss. 4, pp. 637-639
Open Access | Times Cited: 23
Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study
Urko Aguirre, Eloísa Urrechaga
Clinical Chemistry and Laboratory Medicine (CCLM) (2022) Vol. 61, Iss. 2, pp. 356-365
Closed Access | Times Cited: 13
Diagnostic value of white blood cell parameters for COVID‐19: Is there a role for HFLC and IG?
Alexandra Myari, Evangelia Papapetrou, Christina Tsaousi
International Journal of Laboratory Hematology (2021) Vol. 44, Iss. 1, pp. 104-111
Open Access | Times Cited: 16
Diagnostic potential of leukocyte differential and cell population data in prediction of COVID-19 among related viral and bacterial infections at Emergency Department
Eloísa Urrechaga, Cristina Ponga, Mónica Fernández, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2022) Vol. 60, Iss. 5, pp. e104-e107
Open Access | Times Cited: 9
A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data on Sysmex XN-series analysers
James V. Harte, Vitaliy Mykytiv
Clinical Chemistry and Laboratory Medicine (CCLM) (2021) Vol. 59, Iss. 5, pp. e169-e172
Open Access | Times Cited: 12
Immune Dynamics Involved in Acute and Convalescent COVID-19 Patients
Alexander Leonardo Silva-Junior, Lucas da Silva Oliveira, Nara Caroline Toledo Belezia, et al.
Immuno (2023) Vol. 3, Iss. 1, pp. 86-111
Open Access | Times Cited: 4
It’s in the blood: a review of the hematological system in SARS-CoV-2-associated COVID-19
James V. Harte, Caroline Coleman-Vaughan, Maeve P. Crowley, et al.
Critical Reviews in Clinical Laboratory Sciences (2023) Vol. 60, Iss. 8, pp. 595-624
Closed Access | Times Cited: 4
Immunologic mediators profile in COVID-19 convalescence
Alexander Leonardo Silva-Junior, Lucas Silva de Oliveira, Stephanny Dias, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Scat-NET: COVID-19 diagnosis with a CNN model using scattergram images
Seda Arslan Tuncer, Hakan Ayyıldız, Mehmet Kalaycı, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104579-104579
Open Access | Times Cited: 10
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
Cell population data: much more to explore
Johannes J.M.L. Hoffmann
Clinical Chemistry and Laboratory Medicine (CCLM) (2022) Vol. 61, Iss. 3, pp. 377-379
Open Access | Times Cited: 6
Validating a clinical laboratory parameter-based deisolation algorithm for patients with COVID-19 in the intensive care unit using viability PCR: the CoLaIC multicentre cohort study protocol
Tom Schoenmakers, Bas C. T. van Bussel, Stefan H.M. Gorissen, et al.
BMJ Open (2023) Vol. 13, Iss. 2, pp. e069455-e069455
Open Access | Times Cited: 3
A panhaemocytometric approach to COVID-19: the importance of cell population data on Sysmex XN-series analysers in severe disease
James V. Harte, Caoimhe Ní Choileáin, Conor Grieve, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2022) Vol. 61, Iss. 3, pp. e43-e47
Closed Access | Times Cited: 5
Cell Population Data and Serum Polyclonal Immunoglobulin Free Light Chains in the Assessment of COVID-19 Severity
Milena Małecka‐Giełdowska, Maria Fołta, Agnieszka Wiśniewska, et al.
Viruses (2021) Vol. 13, Iss. 7, pp. 1381-1381
Open Access | Times Cited: 7
The use of 8-diff clinical blood testing of patients to assess the severity of the new coronavirus infection
T. A. Slesareva, O. V. Gruzdeva, О. Л. Тарасова, et al.
Siberian Journal of Clinical and Experimental Medicine (2023) Vol. 37, Iss. 4, pp. 149-160
Open Access | Times Cited: 2
Value of hematological parameters for predicting patients with severe coronavirus disease 2019: a real-world cohort from Morocco
Ali Azghar, M. Bensalah, Abdelilah Berhili, et al.
Journal of International Medical Research (2022) Vol. 50, Iss. 7
Open Access | Times Cited: 4
Recent advances in laboratory hematology reflected by a decade of CCLM publications
Johannes J.M.L. Hoffmann, Eloísa Urrechaga
Clinical Chemistry and Laboratory Medicine (CCLM) (2022) Vol. 61, Iss. 5, pp. 829-840
Open Access | Times Cited: 4
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