Michael B. Yaffe
Impact in
- Cell Biology top 0.02%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Molecular Biology top 0.05%
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- 14-3-3 protein interactions
- Genomics and Chromatin Dynamics
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- Ubiquitin and proteasome pathways 54
- 14-3-3 protein interactions 41
- DNA Repair Mechanisms 38
- Bioinformatics and Genomic Networks 15
- Cell Biology 81
- Microtubule and mitosis dynamics 57
- Hippo pathway signaling and YAP/TAZ 15
- Co-authors
- Lewis C. Cantley (18 shared papers)Stephen J. Smerdon (21 shared papers)Hans Christian Reinhardt (14 shared papers)Andrew E. H. Elia (6 shared papers)Drew M. Lowery (11 shared papers)Isaac A. Manke (7 shared papers)Daniel Lim (17 shared papers)Duaa H. Mohammad (7 shared papers)
- Journals
- Journal of Biological Chemistry (19 papers)Science Signaling (13 papers)Molecular Cell (13 papers)Science (9 papers)Cell Cycle (9 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael B. Yaffe
286 papers receiving 31.6k citations
Michael B. Yaffe's Hit Papers
Peers
Comparison fields: 5 of 179
- Cell Biology 8.0k
- Molecular Biology 23.7k
- Oncology 5.5k
- Aging 304
- Cancer Research 2.0k
Countries citing papers authored by Michael B. Yaffe
This map shows the geographic impact of Michael B. Yaffe'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 B. Yaffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. Yaffe more than expected).
Fields of papers citing papers by Michael B. Yaffe
This network shows the impact of papers produced by Michael B. Yaffe. 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 B. Yaffe. The network helps show where Michael B. Yaffe may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael B. Yaffe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 292 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Structural Basis for 14-3-3:Phosphopeptide Binding Specificity Hit paper breakdown → | 1997 | 1412 |
| 2 | MDC1 Directly Binds Phosphorylated Histone H2AX to Regulate Cellular Responses to DNA Double-Strand Breaks Hit paper breakdown → | 2005 | 899 |
| 3 | The mTOR-Regulated Phosphoproteome Reveals a Mechanism of mTORC1-Mediated Inhibition of Growth Factor Signaling Hit paper breakdown → | 2011 | 886 |
| 4 | TAZ, a Transcriptional Modulator of Mesenchymal Stem Cell Differentiation Hit paper breakdown → | 2005 | 863 |
| 5 | RNF8 Transduces the DNA-Damage Signal via Histone Ubiquitylation and Checkpoint Protein Assembly Hit paper breakdown → | 2007 | 857 |
| 6 | Sequence-Specific and Phosphorylation-Dependent Proline Isomerization: A Potential Mitotic Regulatory Mechanism Hit paper breakdown → | 1997 | 665 |
| 7 | The Molecular Basis for Phosphodependent Substrate Targeting and Regulation of Plks by the Polo-Box Domain Hit paper breakdown → | 2003 | 635 |
| 8 | How do 14‐3‐3 proteins work? – Gatekeeper phosphorylation and the molecular anvil hypothesis Hit paper breakdown → | 2001 | 575 |
| 9 | Proteomic Screen Finds pSer/pThr-Binding Domain Localizing Plk1 to Mitotic Substrates Hit paper breakdown → | 2003 | 573 |
| 10 | Polo-like kinase-1 is activated by aurora A to promote checkpoint recovery Hit paper breakdown → | 2008 | 570 |
| 11 | TAZ controls Smad nucleocytoplasmic shuttling and regulates human embryonic stem-cell self-renewal Hit paper breakdown → | 2008 | 564 |
| 12 | BRCT Repeats As Phosphopeptide-Binding Modules Involved in Protein Targeting Hit paper breakdown → | 2003 | 552 |
| 13 | 14-3-3 Proteins and Survival Kinases Cooperate to Inactivate BAD by BH3 Domain Phosphorylation Hit paper breakdown → | 2000 | 546 |
| 14 | Sequential Application of Anticancer Drugs Enhances Cell Death by Rewiring Apoptotic Signaling Networks Hit paper breakdown → | 2012 | 544 |
| 15 | The PX domains of p47phox and p40phox bind to lipid products of PI(3)K Hit paper breakdown → | 2001 | 531 |
| 16 | 2007 | 477 | |
| 17 | 2002 | 469 | |
| 18 | 2001 | 463 | |
| 19 | 1999 | 451 | |
| 20 | 2005 | 422 |
About Michael B. Yaffe
Michael B. Yaffe is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Epidemiology, having authored 292 papers that have together received 32.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (57 papers), Ubiquitin and proteasome pathways (54 papers), 14-3-3 protein interactions (41 papers), DNA Repair Mechanisms (38 papers), Cancer-related Molecular Pathways (24 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (19 papers), Hippo pathway signaling and YAP/TAZ (15 papers) and Bioinformatics and Genomic Networks (15 papers). The work is most often cited by research in Cell Biology (8.0k citations), Molecular Biology (23.7k citations), Oncology (5.5k citations), Aging (304 citations) and Cancer Research (2.0k citations). Michael B. Yaffe has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lewis C. Cantley, Stephen J. Smerdon, Hans Christian Reinhardt, Andrew E. H. Elia, Drew M. Lowery, Isaac A. Manke, Daniel Lim, Duaa H. Mohammad, Stefano Volinia and Alexandra K. Gardino. Their work appears in journals such as Journal of Biological Chemistry, Science Signaling, Molecular Cell, Science and Cell Cycle.
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.