Wade Self

1.0k total citations · 1 hit paper
10 papers, 560 citations indexed

About

Wade Self is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Wade Self has authored 10 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Wade Self's work include Amyotrophic Lateral Sclerosis Research (3 papers), Gut microbiota and health (3 papers) and Alzheimer's disease research and treatments (2 papers). Wade Self is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (3 papers), Gut microbiota and health (3 papers) and Alzheimer's disease research and treatments (2 papers). Wade Self collaborates with scholars based in United States and Spain. Wade Self's co-authors include David M. Holtzman, Kelsey A. Potter, Amy C. Buck, Jeffrey R. Capadona, Smrithi Sunil, Randall J. Bateman, Jennifer Jockel‐Balsarotti, Timothy M. Miller, Robert C. Bucelli and Bruce W. Patterson and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and PLoS ONE.

In The Last Decade

Wade Self

9 papers receiving 555 citations

Hit Papers

Emerging diagnostics and therapeutics for Alzheimer disease 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wade Self United States 7 291 146 121 107 103 10 560
Ana Ledo Portugal 21 347 1.2× 73 0.5× 141 1.2× 308 2.9× 261 2.5× 47 981
Min‐Ho Nam South Korea 16 360 1.2× 74 0.5× 169 1.4× 144 1.3× 245 2.4× 60 871
Francesco Tamagnini United Kingdom 18 272 0.9× 174 1.2× 66 0.5× 236 2.2× 260 2.5× 35 862
Jiwan Woo South Korea 16 341 1.2× 142 1.0× 33 0.3× 195 1.8× 319 3.1× 33 914
Stefano Di Marco Italy 20 400 1.4× 179 1.2× 95 0.8× 44 0.4× 580 5.6× 48 1.1k
Martin G. de Vries Netherlands 14 143 0.5× 116 0.8× 22 0.2× 129 1.2× 105 1.0× 15 582
Xueping Li China 14 264 0.9× 104 0.7× 23 0.2× 37 0.3× 214 2.1× 29 741
Gabriella Nyitrai Hungary 18 570 2.0× 200 1.4× 152 1.3× 104 1.0× 340 3.3× 38 834
Byung Sun Kim South Korea 14 164 0.6× 121 0.8× 87 0.7× 87 0.8× 204 2.0× 26 633
Tiago Moreira Portugal 14 162 0.6× 23 0.2× 96 0.8× 62 0.6× 122 1.2× 19 555

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-authorship network of co-authors of Wade Self

This figure shows the co-authorship network connecting the top 25 collaborators of Wade Self. A scholar is included among the top collaborators of Wade Self based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wade Self. Wade Self is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Celorrio, Marta, Wade Self, Rachel Rodgers, et al.. (2025). Short-chain fatty acids are a key mediator of gut microbial regulation of T cell trafficking and differentiation after traumatic brain injury. Experimental Neurology. 392. 115349–115349.
2.
Zhu, Yiyang, Wade Self, & David M. Holtzman. (2024). An emerging role for the gut microbiome in tauopathy. Neurotherapeutics. 21(6). e00423–e00423. 4 indexed citations
3.
Ly, Cindy V., Wade Self, James Bollinger, et al.. (2023). Protein kinetics of superoxide dismutase‐1 in familial and sporadic amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology. 10(6). 1012–1024. 7 indexed citations
4.
Self, Wade & David M. Holtzman. (2023). Emerging diagnostics and therapeutics for Alzheimer disease. Nature Medicine. 29(9). 2187–2199. 189 indexed citations breakdown →
5.
Kerman, Bilal E., Wade Self, & Hussein N. Yassine. (2023). Can the gut microbiome inform the effects of omega-3 fatty acid supplementation trials on cognition?. Current Opinion in Clinical Nutrition & Metabolic Care. 27(2). 116–124. 9 indexed citations
6.
Self, Wade, Khader Awwad, John P. Savaryn, & Michael Schulz. (2022). An immuno-enrichment free, validated quantification of tau protein in human CSF by LC-MS/MS. PLoS ONE. 17(6). e0269157–e0269157. 3 indexed citations
7.
Self, Wade, Kathleen M. Schoch, Nicolas R. Barthélemy, et al.. (2018). Protein production is an early biomarker for RNA‐targeted therapies. Annals of Clinical and Translational Neurology. 5(12). 1492–1504. 7 indexed citations
8.
Crisp, Matthew J., Kwasi G. Mawuenyega, Bruce W. Patterson, et al.. (2015). In vivo kinetic approach reveals slow SOD1 turnover in the CNS. Journal of Clinical Investigation. 125(7). 2772–2780. 42 indexed citations
9.
Potter, Kelsey A., et al.. (2013). The effect of resveratrol on neurodegeneration and blood brain barrier stability surrounding intracortical microelectrodes. Biomaterials. 34(29). 7001–7015. 112 indexed citations
10.
Potter, Kelsey A., Amy C. Buck, Wade Self, & Jeffrey R. Capadona. (2012). Stab injury and device implantation within the brain results in inversely multiphasic neuroinflammatory and neurodegenerative responses. Journal of Neural Engineering. 9(4). 46020–46020. 187 indexed citations

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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