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:

Comparison of the International Consensus and 5th WHO edition classifications of adult myelodysplastic syndromes and acute myeloid leukemia
Brunangelo Falini, Maria Paola Martelli
American Journal of Hematology (2023) Vol. 98, Iss. 3, pp. 481-492
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Diagnosis and classification of myelodysplastic syndromes
Robert P. Hasserjian, Ulrich Germing, Luca Malcovati
Blood (2023) Vol. 142, Iss. 26, pp. 2247-2257
Closed Access | Times Cited: 23

Comparison of the 2022 world health organization classification and international consensus classification in myelodysplastic syndromes/neoplasms
Wan‐Hsuan Lee, Chien‐Chin Lin, Cheng‐Hong Tsai, et al.
Blood Cancer Journal (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10

p53 biology and reactivation for improved therapy in MDS and AML
Joanna Zawacka‐Pankau
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 7

Latest Insights and Therapeutic Advances in Myelodysplastic Neoplasms
Pasquale Niscola, Valentina Gianfelici, Marco Giovannini, et al.
Cancers (2024) Vol. 16, Iss. 8, pp. 1563-1563
Open Access | Times Cited: 6

What is new in acute myeloid leukemia classification?
Hee Sue Park
Blood Research (2024) Vol. 59, Iss. 1
Open Access | Times Cited: 4

Comparison of treatment-related and de novo CCUS: a retrospective analysis from two centers
Jennifer Santos, Diana Abbott, Grace Bosma, et al.
Leukemia & lymphoma/Leukemia and lymphoma (2025), pp. 1-3
Closed Access

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo González, Ashirbani Saha, Clinton J.V. Campbell, et al.
Journal of Pathology Informatics (2023) Vol. 15, pp. 100347-100347
Open Access | Times Cited: 9

Targeting MYC-driven lymphoma: lessons learned and future directions
Sandra Martínez-Martín, Marie‐Eve Beaulieu, Laura Soucek
Cancer Drug Resistance (2023) Vol. 6, Iss. 2, pp. 205-222
Open Access | Times Cited: 7

Linear programming based computational technique for leukemia classification using gene expression profile
Mahwish Ilyas, Khalid Mahmood Aamir, Sana Manzoor, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292172-e0292172
Open Access | Times Cited: 7

Flow cytometry in acute myeloid leukemia and detection of minimal residual disease
Qihui Cai, Haiqiang Lan, Yi Deng, et al.
Clinica Chimica Acta (2024) Vol. 564, pp. 119945-119945
Open Access | Times Cited: 2

Molecular findings in myeloid neoplasms
Tho B. Tran, Alexa J. Siddon
International Journal of Laboratory Hematology (2023) Vol. 45, Iss. 4, pp. 442-448
Open Access | Times Cited: 6

Diagnosis and Reclassification of Myelodysplastic Syndromes and Acute Myeloid Leukemia: Comparison Between the 2016 WHO 4th and 2022 WHO 5th/ICC Classifications
Su Min Han, Sang Hyuk Park, Hyun‐Ki Kim, et al.
Laboratory Medicine Online (2024) Vol. 14, Iss. 3, pp. 208-217
Closed Access | Times Cited: 1

Peripheral Blood and Bone Marrow Findings in Treatment-Naive Patients With Cytopenia(s)/Myeloid Neoplasms Harboring Both a Germline and a Somatic DDX41 Mutation
Frido K. Bruehl, Ismail Elbaz Younes, David Bosler, et al.
Applied immunohistochemistry & molecular morphology (2024) Vol. 32, Iss. 8, pp. 371-381
Closed Access | Times Cited: 1

Acute Myeloid Leukemia in Older Patients: From New Biological Insights to Targeted Therapies
Pasquale Niscola, Valentina Gianfelici, Gianfranco Catalano, et al.
Current Oncology (2024) Vol. 31, Iss. 11, pp. 6632-6658
Open Access | Times Cited: 1

WHO, what, when, where, and why: New classification systems for acute myeloid leukemia and their impact on clinical practice
Frederick R. Appelbaum
Best Practice & Research Clinical Haematology (2023) Vol. 36, Iss. 4, pp. 101518-101518
Closed Access | Times Cited: 2

Comprehensive Study of Chromosomal Copy Number Variations and Genomic Variations Predicting Overall Survival in Myelodysplastic Syndromes
Nehakumari Maurya, Chandrakala Shanmukhaiah, Somprakash Dhangar, et al.
Oncology (2024) Vol. 102, Iss. 10, pp. 897-906
Closed Access

Myelodysplastic Neoplasms: The Impact of Clonality on Inflammatory-Degenerative Diseases of the Elderly
Nicolas Bonadies, Stefani Parmentier
healthbook TIMES Oncology Hematology (2024), Iss. 19
Open Access

Identification of Novel Genes Implicated in Acute Myeloid Leukemia Progression using Bioinformatics Analysis of Microarray Data
Hassan Aboudi Hassan Al-Sayegh, Reza Safaralizadeh
Research Square (Research Square) (2024)
Closed Access

Mutation Analysis of ASXL1 in Normal Karyotype Myelodysplastic Syndromes: Experience From Pakistan
Sumera Shaikh, Nida Anwar, Saba Shahid, et al.
Cancer Reports (2024) Vol. 7, Iss. 12
Open Access

MYELODYSPLASTIC NEOPLASMS/ SYNDROMES IN THE 5TH EDITION OF THE WHO CLASSIFICATION OF HEMATOLYMPHOID TUMORS (2022)
Alex Philchenkov, І. Абраменко, М.П. Завелевич
Oncology (2024) Vol. 26, Iss. 4, pp. 235-248
Closed Access

The Myelodysplastic Syndromes, the Myelodysplastic/Myeloproliferative Neoplasms and Juvenile Myelomonocytic Leukaemia
FRACP Barbara J. Bain MB BS, FRCP Mike Leach MB ChB
(2024), pp. 327-409
Closed Access

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