Gregory D. Van Vickle

738 citations
6 papers · 608 indexed · h-index 6

Impact in

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

Papers in

Gregory D. Van Vickle

6 papers receiving 599 citations

Peers

Gregory D. Van Vickle
Comparison fields: 5 of 79
  • Neurology 170
  • Physiology 501
  • Biological Psychiatry 47
  • Psychiatry and Mental health 133
  • Clinical Biochemistry 43
Replace Rebekah Patton with:
Rebekah Patton United States
Ian D. Daugs United States
Sangita P. Mehta United States
Gayathri Ramaswamy United States
Shengjun Chang United States
Hannah Tayler United Kingdom
Virginia Pérez‐Grijalba Spain
Laura E. Palmer United Kingdom
M. Desiree Watson United States
Koji Ishiguro Japan
Gregory D. Van Vickle relative to Rebekah Patton United States Rebekah Patton's profile →
Citations per field
00.5×1.5×
Rebekah Patton · 1×
Citations per year

Countries citing papers authored by Gregory D. Van Vickle

Since Specialization
Citations

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

Fields of papers citing papers by Gregory D. Van Vickle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory D. Van Vickle. 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 Gregory D. Van Vickle. The network helps show where Gregory D. Van Vickle may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201146
2 200820
3 200825
4 2008331
5 200724
6 2006162

About Gregory D. Van Vickle

Gregory D. Van Vickle is a scholar working on Clinical Biochemistry, Physiology, Computational Theory and Mathematics, Neurology and Psychiatry and Mental health, having authored 6 papers that have together received 608 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Advanced Glycation End Products research (2 papers), Computational Drug Discovery Methods (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Cholesterol and Lipid Metabolism (1 paper), Prion Diseases and Protein Misfolding (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Neurology (170 citations), Physiology (501 citations), Biological Psychiatry (47 citations), Psychiatry and Mental health (133 citations) and Clinical Biochemistry (43 citations). Gregory D. Van Vickle has collaborated with scholars based in United States, Argentina and Taiwan. Frequent co-authors include Tyler A. Kokjohn, Alex E. Roher, Dean C. Luehrs, Thomas G. Beach, Walter M. Kalback, Rebekah Patton, Eduardo M. Castaño, Chera L. Esh, Yu‐Min Kuo and Ian D. Daugs. Their work appears in journals such as American Journal Of Pathology, Biochemistry, Alzheimer s & Dementia, Molecular Medicine and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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