Michelle E. Beyn

433 citations
11 papers · 207 · h-index 7

Impact in

  • Neurology top 10%
    • Neurological disorders and treatments
    • Transcranial Magnetic Stimulation Studies
    • Parkinson's Disease Mechanisms and Treatments
    • Functional Brain Connectivity Studies

Papers in

    • Neurological disorders and treatments 7
    • Transcranial Magnetic Stimulation Studies 1
    • Functional Brain Connectivity Studies 3

Michelle E. Beyn

10 papers receiving 205 citations

Peers

Michelle E. Beyn
Comparison fields: 5 of 38
  • Neurology 123
  • Neurology 43
  • Cognitive Neuroscience 66
  • Biological Psychiatry 6
  • Cellular and Molecular Neuroscience 40
Replace Aditya Pancholi with:
Aditya Pancholi Canada
Vineet Tiruvadi United States
Maria Ilenia De Bartolo Italy
Leila Sellami Canada
Halil Aziz Velioğlu Türkiye
Joshua A. Adkinson United States
Helena Bejr‐Kasem Spain
Anusha Allawala United States
Janne M. Papma Netherlands
Kelly Bertram Australia
Michelle E. Beyn relative to Aditya Pancholi Canada Aditya Pancholi's profile →
Citations per field
00.5×1.5×
Aditya Pancholi · 1×
Citations per year

Countries citing papers authored by Michelle E. Beyn

Since Specialization
Citations

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

Fields of papers citing papers by Michelle E. Beyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michelle E. Beyn, 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 Michelle E. Beyn Line = papers co-authored together Michelle E. Beyn links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201970
2 202130
3 202129
4 201923
5 202119
6 202218
7 20237
8 20216
9 20214
10 20241
11 20250

About Michelle E. Beyn

Michelle E. Beyn is a scholar working on Neurology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 207 indexed citations. Recurring topics across this work include Neurological disorders and treatments (7 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Glioma Diagnosis and Treatment (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Neurology (123 citations), Neurology (43 citations), Cognitive Neuroscience (66 citations), Biological Psychiatry (6 citations) and Cellular and Molecular Neuroscience (40 citations). Michelle E. Beyn has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Andrés M. Lozano, Gavin J.B. Elias, Jürgen Germann, Alexandre Boutet, Aditya Pancholi, Peter Giacobbe, Irene E. Harmsen, Alireza Mansouri, Christopher S. Lozano and Sidney H. Kennedy. Their work appears in journals such as Brain stimulation, Brain, Biological Psychiatry, Stereotactic and Functional Neurosurgery and Advances in experimental medicine and biology.

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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