David B. Wang

828 citations
16 papers · 694 · h-index 14

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
    • Virus-based gene therapy research

Papers in

    • Mitochondrial Function and Pathology 3
    • DNA Repair Mechanisms 2
    • Alzheimer's disease research and treatments 5

David B. Wang

16 papers receiving 685 citations

Peers

David B. Wang
Comparison fields: 5 of 72
  • Neurology 172
  • Genetics 114
  • Neurology 87
  • Biological Psychiatry 18
  • Cellular and Molecular Neuroscience 122
Replace Maria Grazia Biferi with:
Maria Grazia Biferi France
Gloria M. Palomo Spain
Sarah B. Mueller United States
M. E. Percy Canada
Claudia Abou‐Ajram Germany
Sylvie Dirrig‐Grosch France
Ningbo Xu China
Sara Sepe Italy
Shunsuke Aoki Japan
Bernard R. Wilfred United States
David B. Wang relative to Maria Grazia Biferi France Maria Grazia Biferi's profile →
Citations per field
00.5×3.2×
Maria Grazia Biferi · 1×
Citations per year

Countries citing papers authored by David B. Wang

Since Specialization
Citations

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

Fields of papers citing papers by David B. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Wang. 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 David B. Wang. The network helps show where David B. Wang may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2014147
2 2012122
3 200972
4 201053
5 201349
6 201437
7 201336
8 200935
9 201529
10 201823
11 201523
12 201020
13 201215
14 201115
15 201112
16 20096

About David B. Wang

David B. Wang is a scholar working on Molecular Biology, Physiology, Neurology, Genetics and Neurology, having authored 16 papers that have together received 694 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Mitochondrial Function and Pathology (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Virus-based gene therapy research (3 papers), DNA Repair Mechanisms (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Neurology (172 citations), Genetics (114 citations), Neurology (87 citations), Biological Psychiatry (18 citations) and Cellular and Molecular Neuroscience (122 citations). David B. Wang has collaborated with scholars based in United States. Frequent co-authors include Ronald L. Klein, Robert D. Dayton, Richard S. Morrison, Yoshito Kinoshita, C. Kinoshita, Gwenn A. Garden, Bryce L. Sopher, Michael Hutton, Omar Skalli and Dennis W. Dickson. Their work appears in journals such as Molecular Therapy, Experimental Neurology, Journal of Neuroscience, Neurobiology of Aging and Journal of Neurochemistry.

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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