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:

Prognostic role of red blood cell distribution width in patients with sepsis: a systematic review and meta-analysis
Lin Zhang, Cui-Hua Yu, Kuan-peng Guo, et al.
BMC Immunology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Red Blood Cell Distribution Width (RDW) Predicts COVID-19 Severity: A Prospective, Observational Study from the Cincinnati SARS-CoV-2 Emergency Department Cohort
Brandon Michael Henry, Justin L. Benoit, Stefanie W. Benoit, et al.
Diagnostics (2020) Vol. 10, Iss. 9, pp. 618-618
Open Access | Times Cited: 86

Monocyte distribution width (MDW) parameter as a sepsis indicator in intensive care units
Elisa Piva, Jenny Zuin, Michela Pelloso, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2021) Vol. 59, Iss. 7, pp. 1307-1314
Open Access | Times Cited: 56

Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation
Shi Zhou, Zongqing Lu, Yu Liu, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 12

Red blood cell distribution width (RDW) – A new nutritional biomarker to assess nutritional risk and response to nutritional therapy?
Eliane Haenggi, Nina Kaegi-Braun, Carla Wunderle, et al.
Clinical Nutrition (2024) Vol. 43, Iss. 2, pp. 575-585
Closed Access | Times Cited: 12

Red blood cell distribution width as prognostic factor in sepsis: A new use for a classical parameter
Víctor Moreno‐Torres, Ana Royuela, Elena Múñez, et al.
Journal of Critical Care (2022) Vol. 71, pp. 154069-154069
Open Access | Times Cited: 28

Big data insights into the diagnostic values of CBC parameters for sepsis and septic shock in burn patients: a retrospective study
Myongjin Kim, Dohern Kym, Jongsoo Park, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Red Blood Cell Distribution Is a Significant Predictor of Severe Illness in Coronavirus Disease 2019
Giuseppe Lippi, Brandon Michael Henry, Fabián Sanchis‐Gomar
Acta Haematologica (2020) Vol. 144, Iss. 4, pp. 360-364
Open Access | Times Cited: 44

Diagnostic value of RDW for the prediction of mortality in adult sepsis patients: A systematic review and meta-analysis
Hongsheng Wu, Biling Liao, Tiansheng Cao, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 24

Red Cell Distribution Width Is Independently Associated with Mortality in Sepsis
Daniel Dankl, Richard Rezar, Behrooz Mamandipoor, et al.
Medical Principles and Practice (2022) Vol. 31, Iss. 2, pp. 187-194
Open Access | Times Cited: 23

Analysis of Risk Factors for 28-Day Death in Sepsis Patients with Chronic Kidney Disease
平 秦
Advances in Clinical Medicine (2025) Vol. 15, Iss. 04, pp. 885-895
Closed Access

The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis
Depu Zhou, Jie Wang, Xiaokun Li
International Journal of General Medicine (2021) Vol. Volume 14, pp. 5375-5380
Open Access | Times Cited: 32

Red Blood Cell Distribution Width, Disease Severity, and Mortality in Hospitalized Patients with SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis
Angelo Zinellu, Arduino A. Mangoni
Journal of Clinical Medicine (2021) Vol. 10, Iss. 2, pp. 286-286
Open Access | Times Cited: 27

The Emerging Clinical Significance of the Red Cell Distribution Width as a Biomarker in Chronic Obstructive Pulmonary Disease: A Systematic Review
Angelo Zinellu, Arduino A. Mangoni
Journal of Clinical Medicine (2022) Vol. 11, Iss. 19, pp. 5642-5642
Open Access | Times Cited: 19

Red Cell Distribution Width as a Prognostic Factor and Its Comparison with Lactate in Patients with Sepsis
Tsung-Han Wang, Yin-Chou Hsu
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1474-1474
Open Access | Times Cited: 25

Association between red cell distribution width to albumin ratio and acute kidney injury in patients with sepsis: a MIMIC population-based study
Yang Xu, Qi Wei
International Urology and Nephrology (2023) Vol. 55, Iss. 11, pp. 2943-2950
Closed Access | Times Cited: 9

Clinical value of the red blood cell distribution width to albumin ratio in the assessment of prognosis in critically ill patients with sepsis: a retrospective analysis
Chengyong Ma, Guopeng Liang, Bo Wang, et al.
Journal of Thoracic Disease (2024) Vol. 16, Iss. 1, pp. 516-529
Open Access | Times Cited: 2

Red Blood Cell Distribution Width (RDW) as a Predictor of In-Hospital Mortality in COVID-19 Patients; a Cross Sectional Study.
Setareh Jandaghian, Atefeh Vaezi, Amirreza Manteghinejad, et al.
PubMed (2021) Vol. 9, Iss. 1, pp. e67-e67
Closed Access | Times Cited: 17

Factors associated with in-hospital mortality in adult sepsis with Escherichia coli infection
Kun Song, Cuirong Guo, Zhao Zeng, et al.
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 12

MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network
Guiying Dong, Zi-Chao Zhang, Jianfeng Feng, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 11

Interpretable Machine Learning to Optimize Early In-Hospital Mortality Prediction for Elderly Patients with Sepsis: A Discovery Study
Xiaowei Ke, Fangjie Zhang, Guoqing Huang, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 8

LncRNA HOXA‑AS2 is a prognostic and clinicopathological predictor in patients with cancer: A meta‑analysis
Tijun Xiao, Yan An, Lifang Tan, et al.
Oncology Letters (2024) Vol. 27, Iss. 5
Open Access | Times Cited: 1

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