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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:

Beyond eloquence and onto centrality: a new paradigm in planning supratentorial neurosurgery
Syed Ahsan, Kassem Chendeb, Robert G. Briggs, et al.
Journal of Neuro-Oncology (2020) Vol. 146, Iss. 2, pp. 229-238
Closed Access | Times Cited: 20

Showing 20 citing articles:

Reducing the Cognitive Footprint of Brain Tumor Surgery
Nicholas B. Dadario, Bledi Brahimaj, Jacky T. Yeung, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 75
Fluorescence Guidance and Intraoperative Adjuvants to Maximize Extent of Resection
Cordelia Orillac, Walter Stummer, Daniel A. Orringer
Neurosurgery (2020) Vol. 89, Iss. 5, pp. 727-736
Open Access | Times Cited: 40
Clinical applications of magnetic resonance imaging based functional and structural connectivity
Chengyuan Wu, Francisca Ferreira, Michael Fox, et al.
NeuroImage (2021) Vol. 244, pp. 118649-118649
Open Access | Times Cited: 38
Enhancing Brain Tumor Surgery Precision with Multimodal Connectome Imaging: Structural and Functional Connectivity in Language-Dominant Areas
Harshal A. Shah, James Duehr, Arevik Abramyan, et al.
Clinical Neurology and Neurosurgery (2025), pp. 108760-108760
Closed Access
Using machine learning to evaluate large-scale brain networks in patients with brain tumors: Traditional and non-traditional eloquent areas
Alexis A. Morell, Daniel G. Eichberg, Ashish H. Shah, et al.
Neuro-Oncology Advances (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 19
Graph Theory Measures and Their Application to Neurosurgical Eloquence
Onur Tanglay, Nicholas B. Dadario, Elizabeth H. N. Chong, et al.
Cancers (2023) Vol. 15, Iss. 2, pp. 556-556
Open Access | Times Cited: 11
Eigenvector PageRank difference as a measure to reveal topological characteristics of the brain connectome for neurosurgery
Onur Tanglay, Isabella M. Young, Nicholas B. Dadario, et al.
Journal of Neuro-Oncology (2022) Vol. 157, Iss. 1, pp. 49-61
Closed Access | Times Cited: 14
Unexpected hubness: a proof-of-concept study of the human connectome using pagerank centrality and implications for intracerebral neurosurgery
Jacky T. Yeung, Hugh M. Taylor, Isabella M. Young, et al.
Journal of Neuro-Oncology (2020) Vol. 151, Iss. 2, pp. 249-256
Closed Access | Times Cited: 20
Preoperative assessment of eloquence in neurosurgery: a systematic review
Emma Rammeloo, Joost W. Schouten, Keghart Krikour, et al.
Journal of Neuro-Oncology (2023) Vol. 165, Iss. 3, pp. 413-430
Closed Access | Times Cited: 5
Commentary: Resting State Functional Networks in Gliomas: Validation With Direct Electrical Stimulation Using a New Tool for Planning Brain Resections
Steven Brem, Michael Hoch
Neurosurgery (2024)
Closed Access | Times Cited: 1
Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities
Timothy F. Boerger, Peter A. Pahapill, Alissa M. Butts, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Multilayer Network Analysis across Cortical Depths in Resting-State 7T fMRI
Parker Kotlarz, Kaisu Lankinen, Maria Hakonen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Commentary: 5-Aminolevulinic Acid and Contrast-Enhanced Ultrasound: The Combination of the 2 Techniques to Optimize the Extent of Resection in Glioblastoma Surgery
Steven Brem, Fraser Henderson
Neurosurgery (2020) Vol. 86, Iss. 6, pp. E541-E543
Closed Access | Times Cited: 4
Centrality Measures in Finding Influential Nodes for the Big-Data Network
Sathyanarayanan Gopalakrishnan, Supriya Sridharan, V. Swaminathan
Springer eBooks (2021), pp. 1-17
Closed Access | Times Cited: 4
Connectomic approaches to neurosurgical planning
Michael E. Sughrue, Jacky T. Yeung, Nicholas B. Dadario
Elsevier eBooks (2024), pp. 205-214
Closed Access
Noninvasive- and invasive mapping reveals similar language network centralities – A function-based connectome analysis
Sebastian Ille, Haosu Zhang, Nina Stassen, et al.
Cortex (2024) Vol. 174, pp. 189-200
Open Access
Application of a Standardized Treatment Paradigm as a Strategy to Achieve Optimal Onco-Functional Balance in Glioma Surgery
Chin Hong Ngai, Colin Teo, Jen Yinn Foo, et al.
Brain Tumor Research and Treatment (2024) Vol. 12, Iss. 2, pp. 100-100
Open Access
Discernible interindividual patterns of global efficiency decline during theoretical brain surgery
Yueh‐Hsin Lin, Nicholas B. Dadario, Si Jie Tang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Neurosurgery's Impact on Neuro-Oncology—“Can We Do Better?”—Lessons Learned Over 50 Years
Adam Robin, Jacob Pawloski, James M. Snyder, et al.
Neurosurgery (2022) Vol. 68, Iss. Supplement_1, pp. 17-26
Closed Access | Times Cited: 2
Centrality Measures in Finding Influential Nodes for the Big-Data Network
Sathyanarayanan Gopalakrishnan, Supriya Sridharan, V. Swaminathan
Springer eBooks (2022), pp. 2393-2409
Closed Access
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