Robert G. Underly

1.2k citations
12 papers · 833 · h-index 8

Impact in

  • Neurology top 1%
    • Barrier Structure and Function Studies
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neuroscience and Neuropharmacology Research
    • Axon Guidance and Neuronal Signaling

Papers in

    • S100 Proteins and Annexins 3
    • Single-cell and spatial transcriptomics 2
    • Barrier Structure and Function Studies 6

Robert G. Underly

12 papers receiving 828 citations

Peers

Robert G. Underly
Comparison fields: 5 of 74
  • Neurology 539
  • Neurology 145
  • Cellular and Molecular Neuroscience 157
  • Developmental Neuroscience 29
  • Biophysics 26
Replace Andrée‐Anne Berthiaume with:
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Robert G. Underly relative to Andrée‐Anne Berthiaume United States Andrée‐Anne Berthiaume's profile →
Citations per field
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Andrée‐Anne Berthiaume · 1×
Citations per year

Countries citing papers authored by Robert G. Underly

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Underly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Underly. 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 Robert G. Underly. The network helps show where Robert G. Underly may publish in the future.

Co-authors

The 19 scholars most cited alongside Robert G. Underly, 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 Robert G. Underly Line = papers co-authored together Robert G. Underly links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2015234
2 2017191
3 2018148
4 2016141
5 202146
6 201435
7 202110
8 20148
9 20177
10 20166
11 20176
12 20231

About Robert G. Underly

Robert G. Underly is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Epidemiology and Neurology, having authored 12 papers that have together received 833 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (6 papers), S100 Proteins and Annexins (3 papers), Single-cell and spatial transcriptomics (2 papers), Acute Ischemic Stroke Management (2 papers), Protease and Inhibitor Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Neurology (539 citations), Neurology (145 citations), Cellular and Molecular Neuroscience (157 citations), Developmental Neuroscience (29 citations) and Biophysics (26 citations). Robert G. Underly has collaborated with scholars based in United States and Belgium. Frequent co-authors include Andy Y. Shih, David A. Hartmann, Roger I. Grant, Ashley N. Watson, Andrée‐Anne Berthiaume, Narayan R. Bhat, Manuel Levy, Volkhard Lindner, Konnor McDowell and Vanessa Coelho‐Santos. Their work appears in journals such as Journal of Neuroscience, Journal of Cerebral Blood Flow & Metabolism, Restorative Neurology and Neuroscience, Frontiers in Aging Neuroscience and Cell Reports.

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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