Wayne W. Poon

20.4k citations
52 papers · 4.7k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Wayne W. Poon

51 papers receiving 4.6k citations

Hit Papers

Neural stem cells improve cognition via BDNF in a transgenic model of Alzheimer disease 2009 · 678 citations
6782009202620142020200400600

Peers

Wayne W. Poon
Comparison fields: 5 of 126
  • Developmental Neuroscience 587
  • Neurology 1.1k
  • Biological Psychiatry 315
  • Physiology 2.5k
  • Cellular and Molecular Neuroscience 1.3k
Replace Max Holzer with:
Max Holzer Germany
Yasuji Matsuoka United States
Howard T.J. Mount Canada
Marcello D’Amelio Italy
Nikolaos K. Robakis United States
Elena Galea United States
Annakaisa Haapasalo Finland
Gundars Goldsteins Finland
Antonia Gutiérrez Spain
Laurent Pradier France
Wayne W. Poon relative to Max Holzer Germany Max Holzer's profile →
Citations per field
00.5×1.5×1.8×
Max Holzer · 1×
Citations per year

Countries citing papers authored by Wayne W. Poon

Since Specialization
Citations

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

Fields of papers citing papers by Wayne W. Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne W. Poon. 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 Wayne W. Poon. The network helps show where Wayne W. Poon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202417
2 202211
3 202142
4 201936
5 20174
6 201759
7 201714
8 201589
9 201477
10 201486
11 2013128
12 201173
13 201144
14 2008202
15 200571
16 2005167
17 2004405
18 2004365
19 200452
20 199997

About Wayne W. Poon

Wayne W. Poon is a scholar working on Biological Psychiatry, Neurology, Physiology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 4.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (36 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Coenzyme Q10 studies and effects (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Mitochondrial Function and Pathology (6 papers), Tryptophan and brain disorders (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Nuclear Receptors and Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (587 citations), Neurology (1.1k citations), Biological Psychiatry (315 citations), Physiology (2.5k citations) and Cellular and Molecular Neuroscience (1.3k citations). Wayne W. Poon has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Mathew Blurton‐Jones, Carl W. Cotman, Frank M. LaFerla, Robert A. Rissman, Troy T. Rohn, Catherine F. Clarke, Reidun Torp, Michael P. Vitek, Salvatore Oddo and Karen H. Gylys. Their work appears in journals such as Journal of Biological Chemistry, Neurobiology of Aging, American Journal Of Pathology, Acta Neuropathologica Communications and Scientific Reports.

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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