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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:

AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults
Maxime Nachit, Yves Horsmans, Ronald M. Summers, et al.
Radiology (2023) Vol. 307, Iss. 5
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity
Perry J. Pickhardt, Michael W. Kattan, Matthew H. Lee, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
survex: an R package for explaining machine learning survival models
Mikołaj Spytek, Mateusz Krzyziński, S. Langbein, et al.
Bioinformatics (2023) Vol. 39, Iss. 12
Open Access | Times Cited: 22
Applying Artificial Intelligence to Quantify Body Composition on Abdominal CTs and Better Predict Kidney Transplantation Wait-List Mortality
Karim Yatim, Guilherme T. Ribas, Daniel C. Elton, et al.
Journal of the American College of Radiology (2025) Vol. 22, Iss. 3, pp. 332-341
Closed Access | Times Cited: 1
Intrapatient Changes in CT-Based Body Composition After Initiation of Semaglutide (Glucagon-Like Peptide-1 Agonist) Therapy
Leslie W. Nelson, Matthew H. Lee, John W. Garrett, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 6
Closed Access | Times Cited: 7
The association between computed tomography-based osteosarcopenia and osteoporotic vertebral fractures: a longitudinal study
Hai Tang, Ruikang K. Wang, Ning Hu, et al.
Journal of Endocrinological Investigation (2024) Vol. 48, Iss. 1, pp. 109-119
Closed Access | Times Cited: 6
Sarcopenia is associated with short‐ and long‐term mortality in patients with acute‐on‐chronic liver failure
Fan Zeng, Wei Jiang, Xiujun Chang, et al.
Journal of Cachexia Sarcopenia and Muscle (2024) Vol. 15, Iss. 4, pp. 1473-1482
Open Access | Times Cited: 4
Automated Comprehensive CT Assessment of the Risk of Diabetes and Associated Cardiometabolic Conditions
Yoosoo Chang, Soon Ho Yoon, Ria Kwon, et al.
Radiology (2024) Vol. 312, Iss. 2
Open Access | Times Cited: 4
Evaluating the Application of Machine Learning in Predicting the Mortality of Hospitalized COVID-19 Patients Using the Confusion Matrix and the Matthews Correlation Coefficient
Maryam Salari, Seyed Masoud Sadati, Alireza Sedaghat, et al.
Archives of Clinical Infectious Diseases (2025) Vol. 20, Iss. 2
Open Access
Poor muscle quality: A hidden and detrimental health condition in obesity
Flávio Teixeira Vieira, Yaojun Cai, Marı́a Cristina González, et al.
Reviews in Endocrine and Metabolic Disorders (2025)
Closed Access
CompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans
Raffaella Fiamma Cabini, Andrea Cozzi, Svenja Leu, et al.
European Radiology Experimental (2025) Vol. 9, Iss. 1
Open Access
The Impact of Radiation Dose on CT‐Based Body Composition Analysis: A Large‐Animal Study
Luca Salhöfer, Gregor Jošt, Mathias Meetschen, et al.
Journal of Cachexia Sarcopenia and Muscle (2025) Vol. 16, Iss. 1
Open Access
ALM adjusted by BMI or weight predicts adverse health outcomes in middle-aged and elderly patients with type 2 diabetes
Bo Xie, Bin Liu, Xuebo Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Synergic value of 3D CT-derived body composition and triglyceride glucose body mass for survival prognostic modeling in unresectable pancreatic cancer
Kangjing Xu, Xinbo Wang, Changsheng Zhou, et al.
Frontiers in Nutrition (2025) Vol. 12
Open Access
Establishing and validating models integrated with hematological biomarkers and clinical characteristics for the prognosis of non-esophageal squamous cell carcinoma patients
Ning Xue, Xiaoyan Wen, Qian Wang, et al.
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access
The Prognostic Significance of Handgrip Strength in Cirrhosis: Simplicity Is the Ultimate Sophistication
Binxin Cui, Ziyi Yang, Chao Sun
Portal hypertension & cirrhosis (2025)
Open Access
Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study
Robert J H Miller, Jirong Yi, Aakash Shanbhag, et al.
European Heart Journal (2025)
Open Access
Opportunistic prognostication by computerized tomography (CT) in the emergency department: analysis on 1920 patients and creation of a simple and fast scoring system
Alberto Tagliafico, Stefano Benenati, Italo Porto, et al.
La radiologia medica (2025)
Closed Access
Invited Commentary: Metabolic Syndrome: The Urgent Need for an Imaging-based Definition
Perry J. Pickhardt
Radiographics (2024) Vol. 44, Iss. 3
Closed Access | Times Cited: 3
Metabolic phenotyping with computed tomography deep learning for metabolic syndrome, osteoporosis and sarcopenia predicts mortality in adults
Sang Wouk Cho, Seungjin Baek, Sookyeong Han, et al.
Journal of Cachexia Sarcopenia and Muscle (2024) Vol. 15, Iss. 4, pp. 1418-1429
Open Access | Times Cited: 3
Adjusting for the effect of IV contrast on automated CT body composition measures during the portal venous phase
Alexander R. Moeller, John W. Garrett, Ronald M. Summers, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 7, pp. 2543-2551
Closed Access | Times Cited: 3
Integration of new technologies in the multidisciplinary approach to primary liver tumours: The next-generation tumour board
Jean‐Charles Nault, Julien Caldéraro, Maxime Ronot
Journal of Hepatology (2024)
Open Access | Times Cited: 2
AI-based abdominal CT measurements of orthotopic and ectopic fat predict mortality and cardiometabolic disease risk in adults
Matthew H. Lee, Ryan Zea, John W. Garrett, et al.
European Radiology (2024)
Closed Access | Times Cited: 2
Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western population
Matthias Jung, Vineet K. Raghu, Marco Reisert, et al.
EBioMedicine (2024) Vol. 110, pp. 105467-105467
Open Access | Times Cited: 2
Automated extraction of body composition metrics from abdominal CT or MR imaging: a scoping review
Christopher Winder, Matthew D. Clark, Russell Frood, et al.
European Journal of Radiology (2024) Vol. 181, pp. 111764-111764
Open Access | Times Cited: 1
CT-based body composition analysis and pulmonary fat attenuation volume as biomarkers to predict overall survival in patients with non-specific interstitial pneumonia
Luca Salhöfer, Francesco Bonella, Mathias Meetschen, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 1
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