Michael S. Wolfe

148 papers receiving 13.6k citations

Michael S. Wolfe's Hit Papers

Two transmembrane aspartates in presenilin-1 required for presenilin endoproteolysis and γ-secretase activity 1999 · 1.6k citations
1.6k0+9+18Years since publication5001k1.5k

Peers

Michael S. Wolfe
Comparison fields: 5 of 113
  • Physiology 9.9k
  • Cancer Research 754
  • Developmental Neuroscience 152
  • Molecular Biology 2.4k
  • Neurology 244
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Yue‐Ming Li United States
Tilman Oltersdorf United States
Michael S. Wolfe United States
Harald Steiner Germany
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Wim G. Annaert Belgium
Xiao Zhen Zhou United States
Volkmar Gieselmann Germany
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Citations per year

Countries citing papers authored by Michael S. Wolfe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Michael S. Wolfe Line = papers co-authored together Michael S. Wolfe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A presenilin-1-dependent γ-secretase-like protease mediates release of Notch intracellular domain
Hit paper breakdown →
19991802
2
Two transmembrane aspartates in presenilin-1 required for presenilin endoproteolysis and γ-secretase activity
Hit paper breakdown →
19991637
3 2003659
4 2000452
5 2001433
6 2004328
7 2007321
8 2003313
9 2002309
10 2004295
11 2008254
12 2002241
13 1999232
14 2000220
15 2004204
16 1998191
17 1991181
18 2003178
19 2003171
20 2002169

About Michael S. Wolfe

Michael S. Wolfe is a scholar working on Physiology, Cancer Research, Organic Chemistry, Molecular Biology and Infectious Diseases, having authored 150 papers that have together received 14k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (126 papers), Protease and Inhibitor Mechanisms (7 papers), Biochemical and Molecular Research (6 papers), Asymmetric Synthesis and Catalysis (5 papers), HIV/AIDS drug development and treatment (4 papers), Organic Chemistry Synthesis Methods (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Physiology (9.9k citations), Cancer Research (754 citations), Developmental Neuroscience (152 citations), Molecular Biology (2.4k citations) and Neurology (244 citations). Michael S. Wolfe has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Dennis J. Selkoe, William Taylor Kimberly, Beth L. Ostaszewski, Weiming Xia, Thekla S. Diehl, Raphael Kopan, William P. Esler, Wenjuan Ye, Matthew J. LaVoie 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.

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