Michael B. Yaffe
- Cell Biology top 0.02%
- Microtubule and mitosis dynamics 55
- Hippo pathway signaling and YAP/TAZ 16
- Molecular Biology top 0.05%
- Ubiquitin and proteasome pathways 54
- 14-3-3 protein interactions 40
- DNA Repair Mechanisms 36
- Bioinformatics and Genomic Networks 14
- Oncology top 0.2%
- Cancer-related Molecular Pathways 24
- Aging top 0.5%
- Immunology top 0.5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 19
- Co-authors
- Lewis C. CantleyStephen J. SmerdonHans Christian ReinhardtAndrew E. H. EliaDrew M. LoweryIsaac A. MankeDaniel LimStefano Volinia
- Journals
- Journal of Biological Chemistry (19 papers)Molecular Cell (12 papers)Science Signaling (12 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael B. Yaffe
273 papers receiving 30.5k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Cell Biology 7.9k
- Molecular Biology 23.8k
- Oncology 5.7k
- Aging 302
- Immunology 3.0k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 24 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 12 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 22 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 181 | |
| 11 | 2015 | 49 | |
| 12 | 2013 | 3 | |
| 13 | 2010 | 49 | |
| 14 | 2009 | 77 | |
| 15 | 2008 | 55 | |
| 16 | 2008 | 25 | |
| 17 | 2006 | 120 | |
| 18 | 2006 | 120 | |
| 19 | TAZ, a Transcriptional Modulator of Mesenchymal Stem Cell Differentiationbreakdown → | 2005 | 837 |
| 20 | BRCT Repeats As Phosphopeptide-Binding Modules Involved in Protein Targetingbreakdown → | 2003 | 529 |
About Michael B. Yaffe
Michael B. Yaffe is a scholar working on Cell Biology, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 279 papers that have together received 30.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (55 papers), Ubiquitin and proteasome pathways (54 papers), 14-3-3 protein interactions (40 papers), DNA Repair Mechanisms (36 papers), Cancer-related Molecular Pathways (24 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (19 papers), Hippo pathway signaling and YAP/TAZ (16 papers) and Bioinformatics and Genomic Networks (14 papers). The work is most often cited by research in Cell Biology (7.9k citations), Molecular Biology (23.8k citations) and Oncology (5.7k 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, Stefano Volinia, Duaa H. Mohammad and Alexandra K. Gardino. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Science Signaling, Cell and Science.
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.