Laurel Vana

908 citations
7 papers · 568 · 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 560 citations

Peers

Laurel Vana
Comparison fields: 5 of 71
  • Physiology 456
  • Neurology 129
  • Cellular and Molecular Neuroscience 186
  • Biological Psychiatry 18
  • Pharmacology 115
Replace Rejith Dayanandan with:
Rejith Dayanandan United Kingdom
Yin‐Guo Lin United States
Hideyuki Takahashi United States
Bruno Vasconcelos Belgium
Emmanuel Risse United Kingdom
Rie Teraoka Japan
Olga Petrova Germany
Seyedeh Maryam Alavi Naini France
Tina L. Tekirian United States
Valerie Guss 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 2011279
2 201198
3 201069
4 201146
5 201140
6 201128
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 568 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Advanced NMR Techniques and Applications (1 paper), Neurological Disease Mechanisms and Treatments (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Physiology (456 citations), Neurology (129 citations), Cellular and Molecular Neuroscience (186 citations), Biological Psychiatry (18 citations) and Pharmacology (115 citations). Laurel Vana has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Lester I. Binder, Nicholas M. Kanaan, Juan F. Reyes, Yifan Fu, Elliott J. Mufson, Kristina R. Patterson, Keith Philibert, Marc Glucksman, Sarah Ward and Sarah M. Brooker. Their work appears in journals such as American Journal Of Pathology, Acta Neuropathologica, Biochemistry, 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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