Gray Umbach

469 citations
12 papers · 205 · h-index 8

Impact in

    • Memory and Neural Mechanisms
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Memory Processes and Influences
    • Neuroscience and Music Perception
    • Sleep and Wakefulness Research
    • Neuroscience and Neuropharmacology Research

Papers in

Gray Umbach

10 papers receiving 204 citations

Peers

Gray Umbach
Comparison fields: 5 of 55
  • Cognitive Neuroscience 138
  • Cellular and Molecular Neuroscience 72
  • Neurology 14
  • Structural Biology 2
  • Behavioral Neuroscience 5
Replace Sonia Brar with:
Sonia Brar United States
Michela Bruschini Italy
Karina A. González Otárula United States
Gretchen Von Allmen United States
Shuangyi Fan China
Ana Paula Andrade Hamad Brazil
Yingying Tang China
Nicolae Sanda France
Hai Lin China
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Citations per field
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Citations per year

Countries citing papers authored by Gray Umbach

Since Specialization
Citations

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

Fields of papers citing papers by Gray Umbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gray Umbach. 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 Gray Umbach. The network helps show where Gray Umbach may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2020113
2 202021
3 202212
4 201912
5 201811
6 202111
7 202010
8 20229
9 20224
10 20242
11 20240
12 20220

About Gray Umbach

Gray Umbach is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Epidemiology and Surgery, having authored 12 papers that have together received 205 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (5 papers), Meningioma and schwannoma management (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Brain Metastases and Treatment (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (138 citations), Cellular and Molecular Neuroscience (72 citations), Neurology (14 citations), Structural Biology (2 citations) and Behavioral Neuroscience (5 citations). Gray Umbach has collaborated with scholars based in United States and China. Frequent co-authors include Bradley Lega, Brad E. Pfeiffer, Joshua Jacobs, Pranish A. Kantak, Michael J. Kahana, Michael R. Sperling, Hye Bin Yoo, Michael D. Rugg, Cristina M. Alvira and Simon J. Conway. Their work appears in journals such as World Neurosurgery, Hippocampus, Nature Communications, NeuroImage and Operative Neurosurgery.

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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