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.

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Showing 1-25 of 70 citing articles:

Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
Xiang Wang, Xingyu Zhao, Qiong Li, et al.
European Radiology (2019) Vol. 29, Iss. 11, pp. 6049-6058
Closed Access | Times Cited: 149

Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management
Maja Šutić, Ana Vukić, Jurica Baranašić, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 11, pp. 1102-1102
Open Access | Times Cited: 79

Implementing circulating tumor DNA as a prognostic biomarker in resectable non-small cell lung cancer
Chris Abbosh, Darren Hodgson, Gary J. Doherty, et al.
Trends in cancer (2024) Vol. 10, Iss. 7, pp. 643-654
Open Access | Times Cited: 9

Tumor cell proliferation (Ki-67) expression and its prognostic significance in histological subtypes of lung adenocarcinoma
Zhihua Li, Fang Li, Cheng Pan, et al.
Lung Cancer (2021) Vol. 154, pp. 69-75
Closed Access | Times Cited: 44

Minimized combinatorial CRISPR screens identify genetic interactions in autophagy
Valentina Diehl, Martin Wegner, Paolo Grumati, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 10, pp. 5684-5704
Open Access | Times Cited: 35

Impact of histopathological subtypes on invasive lung adenocarcinoma: from epidemiology to tumour microenvironment to therapeutic strategies
Shaowei Xin, Miaomiao Wen, Yahui Tian, et al.
World Journal of Surgical Oncology (2025) Vol. 23, Iss. 1
Open Access

An Efficient Methodology to Assess Ki-67 and Tumor-Infiltrating Lymphocytes in Heterogeneous Tumors Detection
Dat T. Tran, Vu Thi Tuong, Duc-Binh Nguyen, et al.
Lecture notes in networks and systems (2025), pp. 109-119
Closed Access

Development and validation of novel radiomics-based nomograms for the prediction of EGFR mutations and Ki-67 proliferation index in non-small cell lung cancer
Yinjun Dong, Zekun Jiang, Chaowei Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 5, pp. 2658-2671
Open Access | Times Cited: 20

Prognostic heterogeneity of Ki67 in non‐small cell lung cancer: A comprehensive reappraisal on immunohistochemistry and transcriptional data
Yujing Yang, Xinye Shao, Zhi Li, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 14
Open Access | Times Cited: 4

The importance of Ki-67 proliferation index in small cell lung cancer
Seda Beyhan Sağmen, Coşkun Doğan, Sevda Şener Cömert, et al.
Egyptian Journal of Bronchology (2025) Vol. 19, Iss. 1
Open Access

Development and validation of a 16-gene T-cell- related prognostic model in non-small cell lung cancer
Anbing Zhang, Ting Huang, Jun Ma, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access

Tumor cellular proliferation is associated with enhanced immune checkpoint expression in stage I non–small cell lung cancer
K. G. Mitchell, Edwin R. Parra, David B. Nelson, et al.
Journal of Thoracic and Cardiovascular Surgery (2019) Vol. 158, Iss. 3, pp. 911-919.e6
Open Access | Times Cited: 27

A Noninvasive Assessment of Tumor Proliferation in Lung cancer Patients using Intravoxel Incoherent Motion Magnetic Resonance Imaging
Yu Zheng, Wenjun Huang, Zhang Xue-lin, et al.
Journal of Cancer (2020) Vol. 12, Iss. 1, pp. 190-197
Open Access | Times Cited: 24

RBL2/DREAM-mediated repression of the Aurora kinase A/B pathway determines therapy responsiveness and outcome in p53 WT NSCLC
Lei Duan, Ricardo E. Perez, Sarah Calhoun, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14

Evaluation of polyhexamethylene guanidine-induced lung injuries by chest CT, pathologic examination, and RNA sequencing in a rat model
Cherry Kim, Sang Hoon Jeong, Jaeyoung Kim, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 19

Radiomics nomogram for the prediction of Ki-67 index in advanced non-small cell lung cancer based on dual-phase enhanced computed tomography
Haitao Sun, Peng Zhou, Guoyue Chen, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 11, pp. 9301-9315
Closed Access | Times Cited: 7

Deep learning for cancer cell detection: do we need dedicated models?
M. H. Karol, Martin Tabakov, Urszula Markowska–Kaczmar, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 2

Incorporation of Whole-Body Metabolic Tumor Burden into Current Prognostic Models for Non-Small Cell Lung Cancer patients with Spine metastasis
Yoontae Hong, Yeon-koo Kang, Eun Bi Park, et al.
The Spine Journal (2024)
Closed Access | Times Cited: 2

Proliferative activity is disturbed in myeloproliferative neoplasms ( MPN ), myelodysplastic syndrome ( MDS ), and MDS / MPN diseases. Differences between MDS and MDS / MPN
Stefan G.C. Mestrum, Norbert C.J. De Wit, Roosmarie J.M. Drent, et al.
Cytometry Part B Clinical Cytometry (2020) Vol. 100, Iss. 3, pp. 322-330
Open Access | Times Cited: 17

Native T1-mapping and diffusion-weighted imaging (DWI) can be used to identify lung cancer pathological types and their correlation with Ki-67 expression
Guangzheng Li, Renjun Huang, Mo Zhu, et al.
Journal of Thoracic Disease (2022) Vol. 14, Iss. 2, pp. 443-454
Open Access | Times Cited: 10

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