Michael E. Sughrue

10.3k citations
225 papers · 7.7k · h-index 52

Impact in

  • Genetics top 0.5%
    • Glioma Diagnosis and Treatment
  • Epidemiology top 0.5%
    • Meningioma and schwannoma management

Papers in

    • Glioma Diagnosis and Treatment 50
    • Meningioma and schwannoma management 72
    • Acute Ischemic Stroke Management 7

Michael E. Sughrue

220 papers receiving 7.5k citations

Peers

Michael E. Sughrue
Comparison fields: 5 of 118
  • Genetics 1.2k
  • Epidemiology 2.8k
  • Neurology 906
  • Neurology 272
  • Cognitive Neuroscience 711
Replace Masashi Fukui with:
Masashi Fukui Japan
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Marc Levivier Switzerland
Takakzu Kawamata Japan
Linda Heier United States
Mustafa K. Başkaya United States
Hans‐Jakob Steiger Germany
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Michael E. Sughrue relative to Masashi Fukui Japan Masashi Fukui's profile →
Citations per field
00.5×2×4×6.9×
Masashi Fukui · 1×
Citations per year

Countries citing papers authored by Michael E. Sughrue

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Sughrue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Sughrue. 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 Michael E. Sughrue. The network helps show where Michael E. Sughrue may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael E. Sughrue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael E. Sughrue Line = papers co-authored together Michael E. Sughrue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010230
2 2006197
3 2010172
4 2010164
5 2012163
6 2011145
7 2009144
8 2010137
9 2012136
10 2009135
11 2011132
12 2010121
13 2020121
14 2010110
15 2010108
16 2010107
17 2009101
18 2009101
19 2017100
20 201199

About Michael E. Sughrue

Michael E. Sughrue is a scholar working on Genetics, Epidemiology, Neurology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 225 papers that have together received 7.7k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (72 papers), Glioma Diagnosis and Treatment (50 papers), Advanced Neuroimaging Techniques and Applications (32 papers), Neurosurgical Procedures and Complications (18 papers), Functional Brain Connectivity Studies (17 papers), Head and Neck Surgical Oncology (17 papers), Pituitary Gland Disorders and Treatments (10 papers) and Acute Ischemic Stroke Management (7 papers). The work is most often cited by research in Genetics (1.2k citations), Epidemiology (2.8k citations), Neurology (906 citations), Neurology (272 citations) and Cognitive Neuroscience (711 citations). Michael E. Sughrue has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Andrew T. Parsa, Martin J. Rutkowski, Ari J. Kane, Derick Aranda, Isaac Yang, Michael William McDermott, Mitchel Stuart Berger, Andrew K. Conner, Chad A. Glenn and Robert Grady Briggs. Their work appears in journals such as Journal of neurosurgery, Operative Neurosurgery, World Neurosurgery, Neurosurgery and Neurosurgical FOCUS.

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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