Kevin G. McLure
- Oncology top 5%
- Cancer-related Molecular Pathways 8
- Hematology top 5%
- Multiple Myeloma Research and Treatments 8
- Molecular Biology top 5%
- Protein Degradation and Inhibitors 11
- Histone Deacetylase Inhibitors Research 6
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 3
- RNA Research and Splicing 2
- Cancer Research top 10%
- Biotechnology top 5%
- Co-authors
- Masatoshi TakagiMichael B. KastanMichael J. AbsalonPatrick W.K. LeeSusan P. Lees‐MillerRichard A. WooDerrick E. RancourtHenrik C. Hansen
- Cited by
- OncologyHematologyMolecular Biology
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Kevin G. McLure
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Oncology 794
- Hematology 268
- Molecular Biology 1.6k
- Cancer Research 236
- Biotechnology 110
Countries citing papers authored by Kevin G. McLure
This map shows the geographic impact of Kevin G. McLure'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 Kevin G. McLure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin G. McLure more than expected).
Fields of papers citing papers by Kevin G. McLure
This network shows the impact of papers produced by Kevin G. McLure. 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 Kevin G. McLure. The network helps show where Kevin G. McLure may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin G. McLure, 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 | 2018 | 34 | |
| 2 | 2017 | 48 | |
| 3 | 2016 | 46 | |
| 4 | 2016 | 15 | |
| 5 | 2016 | 46 | |
| 6 | 2016 | 6 | |
| 7 | 2015 | 21 | |
| 8 | 2014 | 96 | |
| 9 | 2014 | 1 | |
| 10 | 2013 | 147 | |
| 11 | 2013 | 1 | |
| 12 | 2010 | 0 | |
| 13 | Regulation of p53 Translation and Induction after DNA Damage by Ribosomal Protein L26 and Nucleolinbreakdown → | 2005 | 535 |
| 14 | 2005 | 14 | |
| 15 | 2004 | 70 | |
| 16 | 2002 | 107 | |
| 17 | 1999 | 35 | |
| 18 | 1998 | 202 | |
| 19 | 1998 | 269 | |
| 20 | A PAb240+ conformation of wild type p53 binds DNA. | 1996 | 7 |
About Kevin G. McLure
Kevin G. McLure is a scholar working on Hematology, Oncology and Molecular Biology, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (11 papers), Multiple Myeloma Research and Treatments (8 papers), Cancer-related Molecular Pathways (8 papers), Histone Deacetylase Inhibitors Research (6 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Oncology (794 citations), Hematology (268 citations) and Molecular Biology (1.6k citations). Kevin G. McLure has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Masatoshi Takagi, Michael B. Kastan, Michael J. Absalon, Patrick W.K. Lee, Susan P. Lees‐Miller, Richard A. Woo, Derrick E. Rancourt, Henrik C. Hansen, Emily M. Gesner and Peter R. Young. Their work appears in journals such as The EMBO Journal, Cell, Cancer Research, Proceedings of the National Academy of Sciences and Data in Brief.
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.