Laurel Vana

917 citations
7 papers · 605 · h-index 7

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Laurel Vana

7 papers receiving 593 citations

Peers

Laurel Vana
Comparison fields: 5 of 71
  • Physiology 473
  • Neurology 122
  • Cellular and Molecular Neuroscience 182
  • Pharmacology 110
  • Biological Psychiatry 15
Replace Rejith Dayanandan with:
Rejith Dayanandan United Kingdom
Inga Volkmann Sweden
Bruno Vasconcelos Belgium
Tina L. Tekirian United States
Dieder Moechars Belgium
Alaina Baker‐Nigh United States
Rie Teraoka Japan
Hideyuki Takahashi United States
Emmanuel Risse United Kingdom
Paul S. Marinec United States
Laurel Vana relative to Rejith Dayanandan United Kingdom Rejith Dayanandan's profile →
Citations per field
00.5×4.1×
Rejith Dayanandan · 1×
Citations per year

Countries citing papers authored by Laurel Vana

Since Specialization
Citations

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

Fields of papers citing papers by Laurel Vana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Laurel Vana, 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 Laurel Vana Line = papers co-authored together Laurel Vana links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2011299
2 2011108
3 201069
4 201148
5 201142
6 201131
7 20118

About Laurel Vana

Laurel Vana is a scholar working on Physiology, Cellular and Molecular Neuroscience, Neurology, Spectroscopy and Molecular Biology, having authored 7 papers that have together received 605 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Genetics and Neurodevelopmental Disorders (1 paper), NMR spectroscopy and applications (1 paper), Nuclear Receptors and Signaling (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Molecular Sensors and Ion Detection (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Physiology (473 citations), Neurology (122 citations), Cellular and Molecular Neuroscience (182 citations), Pharmacology (110 citations) and Biological Psychiatry (15 citations). Laurel Vana has collaborated with scholars based in United States. Frequent co-authors include Lester I. Binder, Nicholas M. Kanaan, Juan F. Reyes, Yifan Fu, Elliott J. Mufson, Sarah Ward, Marc Glucksman, Sarah M. Brooker, Keith Philibert and Kristina R. Patterson. Their work appears in journals such as American Journal Of Pathology, Biochemistry, Acta Neuropathologica, International Journal of Alzheimer s Disease 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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