Levi M. Smith

737 citations
9 papers · 411 · h-index 8

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological diseases and metabolism
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

Levi M. Smith

9 papers receiving 405 citations

Peers

Levi M. Smith
Comparison fields: 5 of 67
  • Neurology 84
  • Physiology 239
  • Biological Psychiatry 21
  • Cellular and Molecular Neuroscience 152
  • Pharmacology 72
Replace Michiko Sekiya with:
Michiko Sekiya Japan
Eleanor K. Pickett United Kingdom
Ana‐María Simón Spain
Orgeta Zejneli France
David Demedts Belgium
Ľubica Fialová Slovakia
Kristie Stefanoska Australia
Hideko Kokubo Japan
Troy L. Carter United States
Lindsay A. Welikovitch United States
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Citations per field
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Michiko Sekiya · 1×
Citations per year

Countries citing papers authored by Levi M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Levi M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Levi M. Smith. 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 Levi M. Smith. The network helps show where Levi M. Smith may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201786
2 201682
3 201959
4 201954
5 202051
6 201736
7 201920
8 202220
9 20153

About Levi M. Smith

Levi M. Smith is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Computational Theory and Mathematics and Pharmacology, having authored 9 papers that have together received 411 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Computational Drug Discovery Methods (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Nuclear Receptors and Signaling (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Prion Diseases and Protein Misfolding (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Neurology (84 citations), Physiology (239 citations), Biological Psychiatry (21 citations), Cellular and Molecular Neuroscience (152 citations) and Pharmacology (72 citations). Levi M. Smith has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stephen M. Strittmatter, Suho Lee, Mikhail A. Kostylev, Rong Zhu, Laura T. Haas, Timothy Cox, Anand Balakrishnan, Santiago V. Salazar, John E. Macor and Charlotte Herber. Their work appears in journals such as Molecular Neurodegeneration, Cold Spring Harbor Perspectives in Medicine, Cell Reports, Annals of Clinical and Translational Neurology and Journal of Biological Chemistry.

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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