Jenna E. Schuster

1.0k citations
8 papers · 747 · h-index 7

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Transcranial Magnetic Stimulation Studies
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Neurogenetic and Muscular Disorders Research 5
    • Amyotrophic Lateral Sclerosis Research 5

Jenna E. Schuster

8 papers receiving 733 citations

Peers

Jenna E. Schuster
Comparison fields: 5 of 61
  • Neurology 242
  • Neurology 121
  • Genetics 136
  • Cellular and Molecular Neuroscience 226
  • Cognitive Neuroscience 168
Replace Sherif M. Elbasiouny with:
Sherif M. Elbasiouny United States
Anton Yakovleff France
Carol J. Mottram United States
Jessica M. D’Amico Canada
Katherine C. Murray Canada
K.-D. Kniffki Germany
Marie‐Pascale Côté United States
Darío I. Carrasco United States
Hyoung-Ihl Kim South Korea
Jenna E. Schuster relative to Sherif M. Elbasiouny United States Sherif M. Elbasiouny's profile →
Citations per field
00.5×1.7×
Sherif M. Elbasiouny · 1×
Citations per year

Countries citing papers authored by Jenna E. Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Jenna E. Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Jenna E. Schuster, 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 Jenna E. Schuster Line = papers co-authored together Jenna E. Schuster links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2007227
2 2009202
3 2011110
4 201080
5 200967
6 200830
7 201127
8 20114

About Jenna E. Schuster

Jenna E. Schuster is a scholar working on Genetics, Neurology, Cellular and Molecular Neuroscience, Molecular Biology and Biomedical Engineering, having authored 8 papers that have together received 747 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Ion channel regulation and function (4 papers), Neuroscience and Neural Engineering (3 papers), Muscle activation and electromyography studies (3 papers), Nerve injury and regeneration (2 papers), Spinal Cord Injury Research (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Neurology (242 citations), Neurology (121 citations), Genetics (136 citations), Cellular and Molecular Neuroscience (226 citations) and Cognitive Neuroscience (168 citations). Jenna E. Schuster has collaborated with scholars based in United States and Czechia. Frequent co-authors include Charles J. Heckman, Carol J. Mottram, Michael D. Johnson, Teepu Siddique, Renee Theiss, Sherif M. Elbasiouny, Katharina A. Quinlan, Rui Fu, Mingchen C. Jiang and Allison S. Hyngstrom. Their work appears in journals such as The Journal of Physiology, Clinical Neurophysiology, Journal of Neurophysiology, Frontiers in Physiology and The Neuroscientist.

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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