OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 1-25 of 42 citing articles:

Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases
Gianluca Rompianesi, Francesca Pegoraro, Carlo Ceresa, et al.
World Journal of Gastroenterology (2021) Vol. 28, Iss. 1, pp. 108-122
Open Access | Times Cited: 77

Histopathological growth patterns of liver metastasis: updated consensus guidelines for pattern scoring, perspectives and recent mechanistic insights
Emily Latacz, Diederik J. Höppener, Ali Bohlok, et al.
British Journal of Cancer (2022) Vol. 127, Iss. 6, pp. 988-1013
Open Access | Times Cited: 56

The progress of multimodal imaging combination and subregion based radiomics research of cancers
Luyuan Zhang, Yumin Wang, Zhouying Peng, et al.
International Journal of Biological Sciences (2022) Vol. 18, Iss. 8, pp. 3458-3469
Open Access | Times Cited: 41

Liver metastases: The role of magnetic resonance imaging
Cesare Maino, Federica Vernuccio, Roberto Cannella, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 36, pp. 5180-5197
Open Access | Times Cited: 19

Radiomics and Radiogenomics in Evaluation of Colorectal Cancer Liver Metastasis
Yun Wang, Luyao Ma, Xiaoping Yin, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 28

The Histopathological Growth Pattern of Colorectal Liver Metastases Impacts Local Recurrence Risk and the Adequate Width of the Surgical Margin
Luca Viganò, Bruno Branciforte, Virginia Laurenti, et al.
Annals of Surgical Oncology (2022) Vol. 29, Iss. 9, pp. 5515-5524
Closed Access | Times Cited: 19

Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
La radiologia medica (2023) Vol. 128, Iss. 11, pp. 1310-1332
Closed Access | Times Cited: 13

Different Forms of Tumor Vascularization and Their Clinical Implications Focusing on Vessel Co-option in Colorectal Cancer Liver Metastases
Gwendolyn Haas, Shuang Fan, Michael Ghadimi, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 27

Radiogenomics: Hunting Down Liver Metastasis in Colorectal Cancer Patients
Carolina de la Pinta, María E. Castillo, Manuel Collado, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5547-5547
Open Access | Times Cited: 24

Nomograms for Predicting Risk and Prognosis of Liver Metastases in Ovarian Cancer Patients
Fen Jiang, Chunfang Yao
Journal of Gynecology Obstetrics and Human Reproduction (2025), pp. 102918-102918
Closed Access

Computed Tomography‐Based Habitat Analysis for Prognostic Stratification in Colorectal Liver Metastases
Chaoqun Zhou, Xin Hao, Lihua Qian, et al.
Cancer Innovation (2025) Vol. 4, Iss. 2
Open Access

Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy
Shengcai Wei, Yuqi Han, Hanjiang Zeng, et al.
European Journal of Radiology (2021) Vol. 142, pp. 109863-109863
Closed Access | Times Cited: 20

Artificial Intelligence to Early Predict Liver Metastases in Patients with Colorectal Cancer: Current Status and Future Prospectives
Pasquale Avella, Micaela Cappuccio, Teresa Cappuccio, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2027-2027
Open Access | Times Cited: 8

Differentiation of histopathological growth patterns of colorectal liver metastases by MRI features
Wenhui Li, Shuai Wang, Yi Liu, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 12, Iss. 1, pp. 608-617
Open Access | Times Cited: 18

Dynamic radiomics for predicting the efficacy of antiangiogenic therapy in colorectal liver metastases
Hui Qu, Huan Zhai, Shuairan Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 7

A CT-based radiomics nomogram for predicting histopathologic growth patterns of colorectal liver metastases
Chao Sun, Xuehuan Liu, Jie Sun, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 12, pp. 9543-9555
Closed Access | Times Cited: 7

A primer on texture analysis in abdominal radiology
Natally Horvat, João Miranda, Maria El Homsi, et al.
Abdominal Radiology (2021) Vol. 47, Iss. 9, pp. 2972-2985
Closed Access | Times Cited: 16

L1CAM and laminin vascular network: Association with the high-risk replacement histopathologic growth pattern in uveal melanoma liver metastases
Raymond L. Barnhill, Steven Van Laere, Peter Vermeulen, et al.
Laboratory Investigation (2022) Vol. 102, Iss. 11, pp. 1214-1224
Open Access | Times Cited: 11

Infiltrative Tumor Borders in Colorectal Liver Metastasis: Should We Enlarge Margin Size?
Vitória Ramos Jayme, Gilton Marques Fonseca, Isaac Massaud Amim Amaral, et al.
Annals of Surgical Oncology (2021) Vol. 28, Iss. 12, pp. 7636-7646
Closed Access | Times Cited: 14

Tumor biology reflected by histological growth pattern is more important than surgical margin for the prognosis of patients undergoing resection of colorectal liver metastases
Ali Bohlok, Lisa Inchiostro, Valério Lucidi, et al.
European Journal of Surgical Oncology (2022) Vol. 49, Iss. 1, pp. 217-224
Open Access | Times Cited: 10

Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
Infectious Agents and Cancer (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 5

Multimodality radiomics analysis based on [18F]FDG PET/CT imaging and multisequence MRI: application to nasopharyngeal carcinoma prognosis
Hui Xu, Wenbing Lv, Hao Zhang, et al.
European Radiology (2023) Vol. 33, Iss. 10, pp. 6677-6688
Closed Access | Times Cited: 5

The Effectiveness of an Adaptive Method to Analyse the Transition between Tumour and Peritumour for Answering Two Clinical Questions in Cancer Imaging
Margherita Mottola, Rita Golfieri, Alessandro Bevilacqua
Sensors (2024) Vol. 24, Iss. 4, pp. 1156-1156
Open Access | Times Cited: 1

Prediction of transformation in the histopathological growth pattern of colorectal liver metastases after chemotherapy using CT-based radiomics
Shengcai Wei, Xinyi Gou, Yinli Zhang, et al.
Clinical & Experimental Metastasis (2024) Vol. 41, Iss. 2, pp. 143-154
Closed Access | Times Cited: 1

Clinico‐metabolic characterization improves the prognostic value of histological growth patterns in patients undergoing surgery for colorectal liver metastases
Ali Bohlok, Ivan Duran Derijckere, Hugues Azema, et al.
Journal of Surgical Oncology (2021) Vol. 123, Iss. 8, pp. 1773-1783
Open Access | Times Cited: 9

Page 1 - Next Page

Scroll to top