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:

Adipose tissue radiodensity and mortality among patients with nonmetastatic breast cancer
En Cheng, Bette J. Caan, Wendy Y. Chen, et al.
Clinical Nutrition (2022) Vol. 41, Iss. 12, pp. 2607-2613
Open Access | Times Cited: 21

Showing 21 citing articles:

Body composition and cancer survival: a narrative review
Patrick T. Bradshaw
British Journal of Cancer (2023) Vol. 130, Iss. 2, pp. 176-183
Open Access | Times Cited: 22

Association between increased Subcutaneous Adipose Tissue Radiodensity and cancer mortality: Automated computation, comparison of cancer types, gender, and scanner bias
Marcos Antônio Dórea Machado, Thauan Fernandes Moraes, Bruno H.L. Anjos, et al.
Applied Radiation and Isotopes (2024) Vol. 205, pp. 111181-111181
Closed Access | Times Cited: 4

Subcutaneous adipose tissue radiodensity as a predictor of poor prognosis in advanced biliary tract cancer
Ryo Sugiura, Yasuyuki Kawamoto, Masaki Kuwatani, et al.
Journal of Hepato-Biliary-Pancreatic Sciences (2025)
Closed Access

Body adipose tissue depots and treatment outcomes for women with breast cancer: A systematic review
Taiara Scopel Poltronieri, Raquel Stocker Pérsico, Luciana Verçoza Viana
Clinical Nutrition (2024) Vol. 43, Iss. 5, pp. 1033-1042
Closed Access | Times Cited: 3

Abdominal visceral and subcutaneous adipose tissue associations with postmenopausal breast cancer incidence
Jennifer W. Bea, Heather M. Ochs‐Balcom, Celina I. Valencia, et al.
JNCI Cancer Spectrum (2025)
Open Access

Association of skeletal muscle quantity and quality with mortality in women with nonmetastatic breast cancer
Mirele Savegnago Mialich, Bruna Ramos da Silva, Barbara Toledo Amstalden, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access

Nutritional ketosis modulates the methylation of cancer-related genes in patients with obesity and in breast cancer cells
Paula M. Lorenzo, Andrea G. Izquierdo, Gemma Rodríguez-Carnero, et al.
Journal of Physiology and Biochemistry (2025)
Open Access

Body composition metrics as a determinant of trastuzumab deruxtecan related toxicity and response
Shlomi Peretz, Rivka Kessner, Yael Bar, et al.
npj Breast Cancer (2025) Vol. 11, Iss. 1
Open Access

Tumor metabolic activity is associated with subcutaneous adipose tissue radiodensity and survival in non-small cell lung cancer
Yan Sun, Min Deng, Olivier Gevaert, et al.
Clinical Nutrition (2024) Vol. 43, Iss. 7, pp. 1809-1815
Closed Access | Times Cited: 3

Body composition as a potential imaging biomarker for predicting the progression risk of chronic kidney disease
Zhouyan Liao, Guanjie Yuan, Kangwen He, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2

Radiodensities of skeletal muscle and visceral adipose tissues are prognostic factors in clear cell renal cell carcinoma
Patrick T. Bradshaw, Linnea T. Olsson, Alejandro Sánchez, et al.
Cancer Epidemiology Biomarkers & Prevention (2024) Vol. 33, Iss. 10, pp. 1375-1382
Closed Access | Times Cited: 1

High Subcutaneous Adipose Tissue Radiodensity Predicts Poor Prognosis in Patients With Gastric Cancer
Shinichiro Iida, Yasunori Matsumoto, Takeshi Toyozumi, et al.
Cancer Diagnosis & Prognosis (2024) Vol. 4, Iss. 6, pp. 754-761
Open Access | Times Cited: 1

Impact of Muscle Measures on Outcome in Patients Receiving Endocrine Therapy for Metastatic Breast Cancer: Analysis of ECOG-ACRIN E2112
Tarah J. Ballinger, Helga S. Marques, Gloria Xue, et al.
Journal of the National Comprehensive Cancer Network (2023) Vol. 21, Iss. 9, pp. 915-923.e1
Open Access | Times Cited: 3

A novel body composition risk score (B-Score) and overall survival among patients with nonmetastatic breast cancer
En Cheng, Bette J. Caan, Wendy Y. Chen, et al.
Clinical Nutrition (2024) Vol. 43, Iss. 4, pp. 981-987
Closed Access

Incorporation of quantitative imaging data using artificial intelligence improves risk prediction in veterans with liver disease
Grace L. Su, Peng Zhang, Patrick Belancourt, et al.
Hepatology (2023) Vol. 80, Iss. 4, pp. 928-936
Closed Access | Times Cited: 1

IMPROVING RESECTABLE GASTRIC CANCER PROGNOSIS PREDICTION: A MACHINE LEARNING ANALYSIS COMBINING CLINICAL FEATURES AND BODY COMPOSITION RADIOMICS
Gianni Shigeru Setoue Liveraro, Maria Emília Seren Takahashi, Fabiana Lascala, et al.
Informatics in Medicine Unlocked (2024) Vol. 52, pp. 101608-101608
Open Access

Comment on “Adipose tissue radiodensity and mortality among patients with nonmetastatic breast cancer”
Lei Nie, Gu li ba nu er A li mu
Clinical Nutrition (2023) Vol. 42, Iss. 7, pp. 1249-1249
Closed Access

Reply – Letter to the editor: Adipose tissue radiodensity and mortality among patients with nonmetastatic breast cancer
En Cheng, Elizabeth M. Cespedes Feliciano
Clinical Nutrition (2023) Vol. 42, Iss. 7, pp. 1247-1248
Closed Access

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