Wade Self

1.0k citations
10 papers · 560 · 1 hit paper · h-index 7

Impact in

Papers in

Wade Self

9 papers receiving 555 citations

Wade Self's Hit Papers

Emerging diagnostics and therapeutics for Alzheimer disease 2023 · 189 citations
1890+1+2Years since publication50100150

Peers

Wade Self
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 291
  • Neurology 121
  • Biological Psychiatry 24
  • Cognitive Neuroscience 146
  • Developmental Neuroscience 23
Replace Gabriella Nyitrai with:
Gabriella Nyitrai Hungary
Francesco Tamagnini United Kingdom
Jiwan Woo South Korea
Stefano Di Marco Italy
Ana Ledo Portugal
Tiago Moreira Portugal
Rita Maccarone Italy
Min‐Ho Nam South Korea
Ricardo M. Santos Portugal
Keun-A Chang South Korea
Wade Self relative to Gabriella Nyitrai Hungary Gabriella Nyitrai's profile →
Citations per field
00.5×4.6×
Gabriella Nyitrai · 1×
Citations per year

Countries citing papers authored by Wade Self

Since Specialization
Citations

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

Fields of papers citing papers by Wade Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Emerging diagnostics and therapeutics for Alzheimer disease
Hit paper breakdown →
2023189
2 2012187
3 2013112
4 201542
5 20239
6 20237
7 20187
8 20244
9 20223
10 20250

About Wade Self

Wade Self is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Neurology and Physiology, having authored 10 papers that have together received 560 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Gut microbiota and health (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Alzheimer's disease research and treatments (2 papers), Neuroscience and Neural Engineering (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Computational Drug Discovery Methods (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (291 citations), Neurology (121 citations), Biological Psychiatry (24 citations), Cognitive Neuroscience (146 citations) and Developmental Neuroscience (23 citations). Wade Self has collaborated with scholars based in United States and Spain. Frequent co-authors include David M. Holtzman, Kelsey A. Potter, Amy C. Buck, Jeffrey R. Capadona, Smrithi Sunil, Robert C. Bucelli, Timothy M. Miller, Jennifer Jockel‐Balsarotti, Bruce W. Patterson and Randall J. Bateman. Their work appears in journals such as Annals of Clinical and Translational Neurology, Biomaterials, Nature Medicine, Neurotherapeutics and Experimental Neurology.

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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