W. Michael Kuehl
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 15
- Molecular Biology top 5%
- Protein Degradation and Inhibitors 8
- Ubiquitin and proteasome pathways 6
- Glycosylation and Glycoproteins Research 5
- Histone Deacetylase Inhibitors Research 2
- vaccines and immunoinformatics approaches 1
- Genetics top 5%
- Oncology top 5%
- Peptidase Inhibition and Analysis 4
- Cancer Research top 10%
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- Chromosomal and Genetic Variations 3
- Co-authors
- P. Leif BergsagelDavid M. SabatiniYasemin SancakMathieu LaplanteSeong A. KangTimothy R. PetersonNathanael S. GrayCarson C. Thoreen
- Cited by
- HematologyMolecular BiologyGenetics
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
W. Michael Kuehl
21 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Hematology 1.2k
- Molecular Biology 2.1k
- Genetics 250
- Oncology 624
- Cancer Research 294
Countries citing papers authored by W. Michael Kuehl
This map shows the geographic impact of W. Michael Kuehl'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 W. Michael Kuehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Michael Kuehl more than expected).
Fields of papers citing papers by W. Michael Kuehl
This network shows the impact of papers produced by W. Michael Kuehl. 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 W. Michael Kuehl. The network helps show where W. Michael Kuehl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside W. Michael Kuehl, 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 | 2021 | 1 | |
| 2 | 2019 | 1 | |
| 3 | 2017 | 27 | |
| 4 | 2017 | 33 | |
| 5 | 2017 | 1 | |
| 6 | 2016 | 8 | |
| 7 | 2016 | 10 | |
| 8 | 2014 | 181 | |
| 9 | 2014 | 56 | |
| 10 | 2013 | 24 | |
| 11 | 2012 | 248 | |
| 12 | 2011 | 58 | |
| 13 | 2010 | 54 | |
| 14 | 2010 | 222 | |
| 15 | DEPTOR Is an mTOR Inhibitor Frequently Overexpressed in Multiple Myeloma Cells and Required for Their Survivalbreakdown → | 2009 | 950 |
| 16 | 2008 | 1 | |
| 17 | 2005 | 399 | |
| 18 | 2001 | 343 | |
| 19 | 2001 | 30 | |
| 20 | 1987 | 34 |
About W. Michael Kuehl
W. Michael Kuehl is a scholar working on Hematology, Molecular Biology and Oncology, having authored 21 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 papers), Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (6 papers), Glycosylation and Glycoproteins Research (5 papers), Peptidase Inhibition and Analysis (4 papers), Chromosomal and Genetic Variations (3 papers), Histone Deacetylase Inhibitors Research (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Hematology (1.2k citations), Molecular Biology (2.1k citations) and Genetics (250 citations). W. Michael Kuehl has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include P. Leif Bergsagel, David M. Sabatini, Yasemin Sancak, Mathieu Laplante, Seong A. Kang, Timothy R. Peterson, Nathanael S. Gray, Carson C. Thoreen, Adriana Zingone and Yulia N. Demchenko. Their work appears in journals such as Blood, Molecular Cancer Therapeutics, Seminars in Hematology, Molecular Oncology and Cancer Research.
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.