OpenAlex Citation Counts

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:

Incidence rate of occult lymph node metastasis in clinical T1−2N0M0 small cell lung cancer patients and radiomic prediction based on contrast-enhanced CT imaging: a multicenter study
Xu Jiang, Chao Luo, Xin Peng, et al.
Respiratory Research (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6

Showing 6 citing articles:

Machine learning insights into early mortality risks for small cell lung cancer patients post-chemotherapy
Min Liang, Fan Luo
Frontiers in Medicine (2025) Vol. 12
Open Access

Serum tumor markers: potential indicators for occult lymph node metastasis in clinical T1 − 2N0M0 small cell lung cancer patients
Xu Jiang, Mengwen Liu, Lei Miao, et al.
Respiratory Research (2024) Vol. 25, Iss. 1
Open Access

Role of stereotactic radiotherapy in the management of small-cell lung cancer
François Lucia, D. Antoni, L. Vaugier, et al.
Cancer/Radiothérapie (2024) Vol. 28, Iss. 6-7, pp. 628-632
Open Access

Chirurgie du cancer à petites cellules
Françoise Le Pimpec‐Barthes, Laure Gibault, A.G. laffaldano, et al.
Revue des Maladies Respiratoires Actualités (2024) Vol. 16, Iss. 2, pp. 2S109-2S116
Closed Access

Machine learning model using immune indicators to predict outcomes in early liver cancer
Yi Zhang, Ke Shi, Ying Feng, et al.
World Journal of Gastroenterology (2024) Vol. 31, Iss. 5
Closed Access

Letter to the editor: Incidence rate of occult lymph node metastasis in clinical T1 − 2N0M0 small cell lung cancer patients and radiomic prediction based on contrast-enhanced CT imaging: a multicenter study
Zhe Hu, Zhikang Tian, Xi Wei, et al.
Respiratory Research (2024) Vol. 25, Iss. 1
Open Access

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Requested Article:

Showing 6 citing articles:

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