Michael S. Wolfe
- Physiology top 0.05%
- Alzheimer's disease research and treatments 98
- Pharmacology top 0.1%
- Cholinesterase and Neurodegenerative Diseases 27
- Cell Biology top 0.2%
- Cellular transport and secretion 21
- Molecular Biology top 0.5%
- Prion Diseases and Protein Misfolding 17
- Lipid Membrane Structure and Behavior 12
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods 25
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- Supramolecular Self-Assembly in Materials 14
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- Drug Transport and Resistance Mechanisms 13
- Co-authors
- Dennis J. SelkoeW. Taylor KimberlyBeth L. OstaszewskiWeiming XiaThekla S. DiehlRaphael KopanBart De StrooperWilliam P. Esler
- Cited by
- PhysiologyPharmacologyCell Biology
- Journals
- Journal of Biological Chemistry (20 papers)Biochemistry (12 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesJapanBelgium
In The Last Decade
Michael S. Wolfe
165 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Physiology 8.2k
- Pharmacology 2.6k
- Cell Biology 2.3k
- Molecular Biology 8.1k
- Computational Theory and Mathematics 1.8k
Countries citing papers authored by Michael S. Wolfe
This map shows the geographic impact of Michael S. Wolfe'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 Michael S. Wolfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Wolfe more than expected).
Fields of papers citing papers by Michael S. Wolfe
This network shows the impact of papers produced by Michael S. Wolfe. 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 Michael S. Wolfe. The network helps show where Michael S. Wolfe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael S. Wolfe, 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 | 2025 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 15 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 41 | |
| 11 | 2019 | 31 | |
| 12 | 2018 | 25 | |
| 13 | 2011 | 107 | |
| 14 | 2008 | 93 | |
| 15 | 2008 | 112 | |
| 16 | 2008 | 31 | |
| 17 | 2005 | 84 | |
| 18 | 2004 | 71 | |
| 19 | 2003 | 32 | |
| 20 | 2003 | 174 |
About Michael S. Wolfe
Michael S. Wolfe is a scholar working on Physiology, Pharmacology and Computational Theory and Mathematics, having authored 168 papers that have together received 14.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (98 papers), Cholinesterase and Neurodegenerative Diseases (27 papers), Computational Drug Discovery Methods (25 papers), Cellular transport and secretion (21 papers), Prion Diseases and Protein Misfolding (17 papers), Supramolecular Self-Assembly in Materials (14 papers), Drug Transport and Resistance Mechanisms (13 papers) and Lipid Membrane Structure and Behavior (12 papers). The work is most often cited by research in Physiology (8.2k citations), Pharmacology (2.6k citations) and Cell Biology (2.3k citations). Michael S. Wolfe has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include Dennis J. Selkoe, W. Taylor Kimberly, Beth L. Ostaszewski, Weiming Xia, Thekla S. Diehl, Raphael Kopan, Bart De Strooper, William P. Esler, Wenjuan Ye and Alison Goate. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry 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.