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:

Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS
Richa Batra, Rie Uni, Oleh M. Akchurin, et al.
Molecular Medicine (2023) Vol. 29, Iss. 1
Open Access | Times Cited: 18

Showing 18 citing articles:

Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis
Erik Hartman, Aaron M. Scott, Christofer Karlsson, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 28

High-throughput mass spectrometry maps the sepsis plasma proteome and differences in patient response
Yuxin Mi, Katie L. Burnham, Philip D. Charles, et al.
Science Translational Medicine (2024) Vol. 16, Iss. 750
Open Access | Times Cited: 11

Gas-phase fractionation DDA promotes in-depth DIA phosphoproteome analysis
Zhiwei Tu, Yabin Li, Shengyue Ji, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41928-e41928
Open Access

Urine biomarkers can outperform serum biomarkers in certain diseases
Cheng Xue, Bo Yang, Lili Fu, et al.
URINE (2023) Vol. 5, pp. 57-64
Open Access | Times Cited: 11

Compartmentalization of the inflammatory response during bacterial sepsis and severe COVID-19
Jean‐Marc Cavaillon, Benjamin G. Chousterman, Tomasz Skirecki
Journal of Intensive Medicine (2024) Vol. 4, Iss. 3, pp. 326-340
Open Access | Times Cited: 3

Metabolomic Insights into COVID-19 Severity: A Scoping Review
E. Pimentel, Mohammad Mehdi Banoei, Jasnoor Kaur, et al.
Metabolites (2024) Vol. 14, Iss. 11, pp. 617-617
Open Access | Times Cited: 2

Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review
F Hanyu, Ying Liu, Qiwen Yang, et al.
International Journal of COPD (2023) Vol. Volume 18, pp. 1353-1365
Open Access | Times Cited: 5

Prospects of Novel and Repurposed Immunomodulatory Drugs against Acute Respiratory Distress Syndrome (ARDS) Associated with COVID-19 Disease
Smruti Sudha Nayak, Akshayata Naidu, Sajitha Lulu, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 4, pp. 664-664
Open Access | Times Cited: 2

Urinary peptides provide information about the risk of mortality across a spectrum of diseases and scenarios
Felix Keller, Joachim Beige, Justyna Siwy, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 2

Serum Phenylalanine, Myo-inositol, and 1,5-Anhydrohexitol biosignature differentiates neonatal sepsis cases from controls
Riya Ahmed, Anil Behera, Adyasha Sarangi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Integrated multiomics implicates dysregulation of ECM and cell adhesion pathways as drivers of severe COVID-associated kidney injury
Nanditha Anandakrishnan, Zhengzi Yi, Zeguo Sun, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Proteomics and metabolomics analyses of urine for investigation of gallstone disease in a high-altitude area
Ying Ma, Xiaofeng Jing, Defu Li, et al.
Metabolomics (2024) Vol. 20, Iss. 5
Closed Access

Future prospects of charnolosome in evidence-based personalized nanotheranostics
Sushil K. Sharma
Elsevier eBooks (2024), pp. 757-793
Closed Access

Diagnosis, Severity, and Prognosis from Potential Biomarkers of COVID-19 in Urine: A Review of Clinical and Omics Results
Jennifer Narro-Serrano, Frutos C. Marhuenda‐Egea
Metabolites (2024) Vol. 14, Iss. 12, pp. 724-724
Open Access

Urinary peptides predict future death
Felix Keller, Joachim Beige, Justyna Siwy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

Biomarkers and prognostic models for severe COVID-19 in comparison with other etiologies of sepsis
Sergey G. Sсherbak, Аndrey М. Sarana, Dmitry A. Vologzhanin, et al.
Russian Medicine (2023) Vol. 29, Iss. 4, pp. 325-348
Closed Access

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