Michael S. Wolfe
- Physiology top 0.2%
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 1%
- Pharmacology top 0.5%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Dennis J. SelkoeRoger AnwylIgor KlyubinDominic M. WalshWilliam K. CullenJulia V. FadeevaMichael J. RowanWeiming Xia
- Topics
- Alzheimer's disease research and treatments (31 papers)Cholinesterase and Neurodegenerative Diseases (17 papers)Computational Drug Discovery Methods (9 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Michael S. Wolfe
65 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Physiology 4.5k
- Molecular Biology 4.0k
- Cellular and Molecular Neuroscience 1.4k
- Pharmacology 1.3k
- Computational Theory and Mathematics 858
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 of co-authors of Michael S. Wolfe
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Wolfe. A scholar is included among the top collaborators of Michael S. Wolfe 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 Michael S. Wolfe. Michael S. Wolfe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 41 | |
| 4 | 9 | |
| 5 | 83 | |
| 6 | 13 | |
| 7 | 71 | |
| 8 | 6 | |
| 9 | 21 | |
| 10 | 50 | |
| 11 | 124 | |
| 12 | 18 | |
| 13 | 15 | |
| 14 | 129 | |
| 15 | 180 | |
| 16 | Notch mediates TGFα-induced changes in epithelial differentiation during pancreatic tumorigenesisbreakdown → | 504 |
| 17 | 22 | |
| 18 | Naturally secreted oligomers of amyloid β protein potently inhibit hippocampal long-term potentiation in vivobreakdown → | 3524 |
| 19 | 46 | |
| 20 | 15 |
About Michael S. Wolfe
Michael S. Wolfe is a scholar working on Physiology, Pharmacology and Molecular Biology, having authored 66 papers that have together received 8.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (31 papers), Cholinesterase and Neurodegenerative Diseases (17 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Physiology (4.5k citations), Neurology (679 citations) and Cellular and Molecular Neuroscience (1.4k citations). Michael S. Wolfe has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Dennis J. Selkoe, Roger Anwyl, Igor Klyubin, Dominic M. Walsh, William K. Cullen, Julia V. Fadeeva, Michael J. Rowan, Weiming Xia, Wenjuan Ye and Chad L. Moore. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.