W.S. Wade
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
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- DNA and Nucleic Acid Chemistry
- Protein Structure and Dynamics
- Prion Diseases and Protein Misfolding
Papers in
-
- S100 Proteins and Annexins 2
- Ubiquitin and proteasome pathways 1
- DNA and Nucleic Acid Chemistry 1
- Lipid Membrane Structure and Behavior 1
- RNA Interference and Gene Delivery 1
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- Alzheimer's disease research and treatments 5
- Co-authors
- Grant A. Krafft (5 shared papers)Thomas F. Holzman (3 shared papers)Seth W. Snyder (3 shared papers)Uri S. Ladror (2 shared papers)Edmund D. Matayoshi (1 shared paper)Leo W. Barrett (1 shared paper)William L. Klein (3 shared papers)Mary P. Lambert (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biophysical Journal (1 paper)Journal of Biological Chemistry (1 paper)Journal of Neuroscience Research (1 paper)Neuroscience Letters (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
W.S. Wade
7 papers receiving 870 citations
Peers
Comparison fields: 5 of 74
- Physiology 544
- Molecular Biology 557
- Neurology 63
- Immunology and Allergy 44
- Computational Theory and Mathematics 120
Countries citing papers authored by W.S. Wade
This map shows the geographic impact of W.S. Wade'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 W.S. Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.S. Wade more than expected).
Fields of papers citing papers by W.S. Wade
This network shows the impact of papers produced by W.S. Wade. 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 W.S. Wade. The network helps show where W.S. Wade may publish in the future.
Co-authors
The 25 scholars most cited alongside W.S. Wade, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 323 | |
| 2 | 1992 | 158 | |
| 3 | 1996 | 139 | |
| 4 | 1994 | 89 | |
| 5 | 1994 | 68 | |
| 6 | 1995 | 57 | |
| 7 | 1995 | 48 |
About W.S. Wade
W.S. Wade is a scholar working on Molecular Biology, Physiology, Oncology, Immunology and Allergy and Biomaterials, having authored 7 papers that have together received 882 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), S100 Proteins and Annexins (2 papers), Cell Adhesion Molecules Research (2 papers), Ubiquitin and proteasome pathways (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Lipid Membrane Structure and Behavior (1 paper), RNA Interference and Gene Delivery (1 paper) and Supramolecular Self-Assembly in Materials (1 paper). The work is most often cited by research in Physiology (544 citations), Molecular Biology (557 citations), Neurology (63 citations), Immunology and Allergy (44 citations) and Computational Theory and Mathematics (120 citations). W.S. Wade has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Grant A. Krafft, Thomas F. Holzman, Seth W. Snyder, Uri S. Ladror, Edmund D. Matayoshi, Leo W. Barrett, William L. Klein, Mary P. Lambert, Bernhard H. Geierstanger and Milan Mrksich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Journal of Biological Chemistry, Journal of Neuroscience Research and Neuroscience Letters.
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.