Mary Gaskill-Shipley

1.7k total citations
29 papers, 1.2k citations indexed

About

Mary Gaskill-Shipley is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Genetics. According to data from OpenAlex, Mary Gaskill-Shipley has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Neurology and 9 papers in Genetics. Recurrent topics in Mary Gaskill-Shipley's work include Glioma Diagnosis and Treatment (8 papers), Advanced MRI Techniques and Applications (5 papers) and Meningioma and schwannoma management (4 papers). Mary Gaskill-Shipley is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Advanced MRI Techniques and Applications (5 papers) and Meningioma and schwannoma management (4 papers). Mary Gaskill-Shipley collaborates with scholars based in United States, Peru and Spain. Mary Gaskill-Shipley's co-authors include John M. Tew, James Leach, Blaise V. Jones, Donald W. Kormos, Ronald E. Warnick, Robert R. Lukin, Robert J. Bohinski, Thomas A. Tomsick, James L. Leach and Mario Zuccarello and has published in prestigious journals such as Scientific Reports, CHEST Journal and Neurosurgery.

In The Last Decade

Mary Gaskill-Shipley

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary Gaskill-Shipley United States 16 542 343 341 314 148 29 1.2k
Cüneyt Erdoğan Türkiye 16 316 0.6× 346 1.0× 239 0.7× 455 1.4× 51 0.3× 64 1.2k
Lee Walton United Kingdom 18 592 1.1× 173 0.5× 487 1.4× 221 0.7× 84 0.6× 43 1.1k
Bruce L. Dean United States 17 901 1.7× 251 0.7× 454 1.3× 379 1.2× 120 0.8× 34 1.7k
Ronald Alberico United States 20 684 1.3× 92 0.3× 305 0.9× 246 0.8× 123 0.8× 46 1.3k
Stephan P. Kloska Germany 21 449 0.8× 127 0.4× 585 1.7× 458 1.5× 116 0.8× 43 1.2k
Masahiro Izawa Japan 25 804 1.5× 426 1.2× 676 2.0× 181 0.6× 18 0.1× 109 1.9k
Evan Luther United States 21 399 0.7× 477 1.4× 354 1.0× 154 0.5× 85 0.6× 141 1.5k
David J. McCarthy United States 23 346 0.6× 106 0.3× 471 1.4× 54 0.2× 238 1.6× 84 1.5k
Tadeusz Stadnik Belgium 20 244 0.5× 253 0.7× 143 0.4× 795 2.5× 12 0.1× 63 1.7k
Leo F. Czervionke United States 19 322 0.6× 46 0.1× 162 0.5× 258 0.8× 40 0.3× 47 1.0k

Countries citing papers authored by Mary Gaskill-Shipley

Since Specialization
Citations

This map shows the geographic impact of Mary Gaskill-Shipley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mary Gaskill-Shipley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Gaskill-Shipley more than expected).

Fields of papers citing papers by Mary Gaskill-Shipley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Gaskill-Shipley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mary Gaskill-Shipley. The network helps show where Mary Gaskill-Shipley may publish in the future.

Co-authorship network of co-authors of Mary Gaskill-Shipley

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Gaskill-Shipley. A scholar is included among the top collaborators of Mary Gaskill-Shipley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary Gaskill-Shipley. Mary Gaskill-Shipley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Khatri, Pooja, Heidi Sucharew, Russell P. Sawyer, et al.. (2025). Assessing Population-Based Radiological Brain Health in Stroke Epidemiology (APRISE): Rationale and Design. Cerebrovascular Diseases. 54(6). 1–15.
2.
Wang, David, Thomas Maloney, Heidi Sucharew, et al.. (2022). Automated grading of enlarged perivascular spaces in clinical imaging data of an acute stroke cohort using an interpretable, 3D deep learning framework. Scientific Reports. 12(1). 788–788. 22 indexed citations
3.
Vagal, Achala, Jeffrey L. Anderson, Seetharam Chadalavada, et al.. (2020). Recover Wisely From COVID-19: Responsible Resumption of Nonurgent Radiology Services. Academic Radiology. 27(10). 1343–1352. 7 indexed citations
4.
Provenzale, James M., Karen Buch, Christopher G. Filippi, et al.. (2019). Peering Into Peer Review: AJR Neuroradiology Reviewers Discuss Their Approaches to Assessing a Manuscript. American Journal of Roentgenology. 214(1). 45–49. 1 indexed citations
5.
Ward, Tom, et al.. (2019). Feasibility of a Modified Atkins Diet in Glioma Patients During Radiation and Its Effect on Radiation Sensitization. Current Oncology. 26(4). 433–438. 26 indexed citations
6.
Zhang, Bin, et al.. (2018). Diagnostic accuracy of MRI texture analysis for grading gliomas. Journal of Neuro-Oncology. 140(3). 583–589. 73 indexed citations
7.
Gaskill-Shipley, Mary, et al.. (2016). Neoplastic and Paraneoplastic Involvement of the Spinal Cord. Seminars in Ultrasound CT and MRI. 37(5). 482–497. 3 indexed citations
8.
Wang, Lily, James L. Leach, John C. Breneman, Christopher McPherson, & Mary Gaskill-Shipley. (2014). Critical Role of Imaging in the Neurosurgical and Radiotherapeutic Management of Brain Tumors. Radiographics. 34(3). 702–721. 23 indexed citations
9.
Bennett, Suzanne, et al.. (2013). Cumulative Total Effective Whole-Body Radiation Dose in Critically Ill Patients. CHEST Journal. 144(5). 1481–1486. 20 indexed citations
10.
Bennett, Suzanne, et al.. (2011). Cumulative Effective Whole Body Radiation Dose Delivered to Critically-Ill Patients. CHEST Journal. 140(4). 322A–322A. 1 indexed citations
11.
Morales, Humberto & Mary Gaskill-Shipley. (2010). Imaging of Common Adult and Pediatric Primary Brain Tumors. Seminars in Roentgenology. 45(2). 92–106.
12.
Leach, James L., William M. Strub, & Mary Gaskill-Shipley. (2007). Cerebral venous thrombus signal intensity and susceptibility effects on gradient recalled-echo MR imaging.. American Journal of Neuroradiology. 28(5). 940–5. 61 indexed citations
13.
Leach, James, et al.. (2006). Imaging of Cerebral Venous Thrombosis: Current Techniques, Spectrum of Findings, and Diagnostic Pitfalls. Radiographics. 26(suppl_1). S19–S41. 349 indexed citations
14.
Gaskill-Shipley, Mary, et al.. (2001). Cerebrovascular trauma. Seminars in Ultrasound CT and MRI. 22(2). 148–161. 3 indexed citations
15.
Bohinski, Robert J., Ronald E. Warnick, Mary Gaskill-Shipley, et al.. (2001). Glioma Resection in a Shared-resource Magnetic Resonance Operating Room after Optimal Image-guided Frameless Stereotactic Resection. Neurosurgery. 48(4). 731–744. 105 indexed citations
16.
Bohinski, Robert J., Ronald E. Warnick, Mary Gaskill-Shipley, et al.. (2001). Intraoperative Magnetic Resonance Imaging to Determine the Extent of Resection of Pituitary Macroadenomas during Transsphenoidal Microsurgery. Neurosurgery. 49(5). 1133–1144. 136 indexed citations
17.
Gaskill-Shipley, Mary. (1999). ROUTINE CT EVALUATION OF ACUTE STROKE. Neuroimaging Clinics of North America. 9(3). 411–422.
18.
Dhawan, Atam P., et al.. (1996). System for MR brain image segmentation. 2. 732–733. 3 indexed citations
19.
Righi, Paul D., Daniel J. Kelley, R. Ernst, et al.. (1996). Evaluation of Prevertebral Muscle Invasion by Squamous Cell Carcinoma: Can Computed Tomography Replace Open Neck Exploration?. Archives of Otolaryngology - Head and Neck Surgery. 122(6). 660–663. 22 indexed citations
20.
Gaskill-Shipley, Mary & Thomas A. Tomsick. (1996). ANGIOGRAPHY IN THE EVALUATION OF HEAD AND NECK TRAUMA. Neuroimaging Clinics of North America. 6(3). 607–624. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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