William J. Mack

11.9k total citations · 1 hit paper
293 papers, 7.3k citations indexed

About

William J. Mack is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, William J. Mack has authored 293 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Neurology, 75 papers in Epidemiology and 64 papers in Pulmonary and Respiratory Medicine. Recurrent topics in William J. Mack's work include Intracranial Aneurysms: Treatment and Complications (64 papers), Acute Ischemic Stroke Management (60 papers) and Traumatic Brain Injury and Neurovascular Disturbances (52 papers). William J. Mack is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (64 papers), Acute Ischemic Stroke Management (60 papers) and Traumatic Brain Injury and Neurovascular Disturbances (52 papers). William J. Mack collaborates with scholars based in United States, United Kingdom and Canada. William J. Mack's co-authors include J Mocco, Frank J. Attenello, E. Sander Connolly, Timothy Wen, Arun Paul Amar, Steven Cen, Gabriel Zada, Nerses Sanossian, Shuhan He and Steven L. Giannotta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Circulation Research.

In The Last Decade

William J. Mack

278 papers receiving 7.2k citations

Hit Papers

2022 Guideline for the Ma... 2022 2026 2023 2024 2022 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William J. Mack 2.8k 1.9k 1.1k 891 808 293 7.3k
William Whiteley 1.4k 0.5× 2.9k 1.5× 1.1k 1.0× 521 0.6× 678 0.8× 134 6.9k
Arthur Pancioli 2.2k 0.8× 4.6k 2.4× 1.6k 1.4× 473 0.5× 486 0.6× 95 8.1k
Maurice Giroud 1.5k 0.5× 3.3k 1.7× 1.6k 1.4× 484 0.5× 593 0.7× 258 7.0k
Manuel Quintana 1.1k 0.4× 2.3k 1.2× 1.0k 0.9× 478 0.5× 501 0.6× 212 5.6k
Myles Connor 1.1k 0.4× 2.8k 1.5× 824 0.7× 318 0.4× 735 0.9× 47 6.1k
Jiann‐Shing Jeng 2.5k 0.9× 2.1k 1.1× 1.4k 1.2× 692 0.8× 537 0.7× 334 7.2k
Rustam Al‐Shahi Salman 9.3k 3.3× 4.2k 2.2× 839 0.7× 637 0.7× 787 1.0× 253 12.7k
Andreas Terént 1.6k 0.6× 3.5k 1.8× 1.3k 1.1× 405 0.5× 586 0.7× 122 7.3k
Barney J. Stern 2.7k 1.0× 3.4k 1.8× 3.9k 3.4× 915 1.0× 330 0.4× 114 8.2k
Mario Di Napoli 2.2k 0.8× 2.6k 1.4× 668 0.6× 554 0.6× 891 1.1× 145 5.8k

Countries citing papers authored by William J. Mack

Since Specialization
Citations

This map shows the geographic impact of William J. Mack'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 William J. Mack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Mack more than expected).

Fields of papers citing papers by William J. Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Mack. 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 William J. Mack. The network helps show where William J. Mack may publish in the future.

Co-authorship network of co-authors of William J. Mack

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Mack. A scholar is included among the top collaborators of William J. Mack 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 William J. Mack. William J. Mack 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
2.
Shkirkova, Kristina, Selena Chen, Constantinos Sioutas, et al.. (2025). Air pollution decreases postsynaptic PSD-95 and NMDA receptor subunits in synaptosomes from mouse cerebral cortex. Environmental Pollution. 383. 126845–126845. 1 indexed citations
3.
Xiao, Jiayu, Mark S. Shiroishi, Nasim Sheikh‐Bahaei, et al.. (2024). Interleaved flow‐sensitive dephasing (iFSD): Toward enhanced blood flow suppression and preserved T1 weighting and overall signals in 3D TSE‐based neuroimaging. Magnetic Resonance in Medicine. 93(5). 1911–1923. 1 indexed citations
5.
Kamel, Hooman, José I. Suárez, E. Sander Connolly, et al.. (2024). Addressing the Evidence Gap in Aneurysmal Subarachnoid Hemorrhage: The Need for a Pragmatic Randomized Trial Platform. Stroke. 55(9). 2397–2400. 1 indexed citations
6.
Zheng, Ling, Michelle Lin, Steven Cen, et al.. (2024). Persistent Inequities in Intravenous Thrombolysis for Acute Ischemic Stroke in the United States: Results From the Nationwide Inpatient Sample. Journal of the American Heart Association. 13(9). e033316–e033316.
7.
Xu, Huijing, Tatsuhiro Fujii, Charles Y. Liu, et al.. (2023). Making a case for endovascular approaches for neural recording and stimulation. Journal of Neural Engineering. 20(1). 11001–11001. 11 indexed citations
8.
Ding, Li, et al.. (2023). Mortality following mechanical thrombectomy for ischemic stroke in patients with COVID-19. Journal of Stroke and Cerebrovascular Diseases. 32(8). 107171–107171. 3 indexed citations
9.
Lin, Michelle, et al.. (2023). The effect of COVID-19 on treatment and outcomes following ischemic stroke: A national assessment. Clinical Neurology and Neurosurgery. 233. 107982–107982.
11.
Gopalakrishna, Rayudu, et al.. (2023). Flavonoid quercetin and its glucuronide and sulfate conjugates bind to 67-kDa laminin receptor and prevent neuronal cell death induced by serum starvation. Biochemical and Biophysical Research Communications. 671. 116–123. 11 indexed citations
12.
Lin, Michelle, Vincent Nguyen, & William J. Mack. (2023). Endovascular Embolization of Intracranial Meningiomas. Neurosurgery Clinics of North America. 34(3). 371–380.
13.
Hofmann, Hayden L., Benjamin S. Hopkins, Dhiraj J. Pangal, et al.. (2023). GPT-4 Artificial Intelligence Model Outperforms ChatGPT, Medical Students, and Neurosurgery Residents on Neurosurgery Written Board-Like Questions. World Neurosurgery. 179. e160–e165. 74 indexed citations
14.
Jarvis, Casey A., Phillip A. Bonney, Edith Yuan, et al.. (2021). Comorbid depression in surgical cancer patients associated with non-routine discharge and readmission. Surgical Oncology. 37. 101533–101533. 6 indexed citations
15.
Krenitsky, Nicole, Timothy Wen, Stephanie Cham, et al.. (2021). Hospital Admissions from the Emergency Department and Subsequent Critical Care Interventions for Influenza during Pregnancy. American Journal of Perinatology. 40(3). 326–332. 1 indexed citations
16.
Mack, William J., et al.. (2013). Invasive and Noninvasive Multimodal Bedside Monitoring in Subarachnoid Hemorrhage: A Review of Techniques and Available Data. Neurology Research International. 2013. 1–4. 6 indexed citations
17.
Chang, Xiao, Lingling Shi, Fan Gao, et al.. (2013). Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas. Neurosurgical FOCUS. 35(6). E3–E3. 19 indexed citations
18.
Zada, Gabriel, Parham Yashar, Aaron Robison, et al.. (2013). A proposed grading system for standardizing tumor consistency of intracranial meningiomas. Neurosurgical FOCUS. 35(6). E1–E1. 48 indexed citations
19.
He, Shuhan, Martin H. Pham, Matthew Pease, et al.. (2013). A review of epigenetic and gene expression alterations associated with intracranial meningiomas. Neurosurgical FOCUS. 35(6). E5–E5. 43 indexed citations
20.
Kaplan, Robert C., Lawrence Kingsley, A. Richey Sharrett, et al.. (2007). Ten-Year Predicted Coronary Heart Disease Risk in HIV-Infected Men and Women. Clinical Infectious Diseases. 45(8). 1074–1081. 173 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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