Michael W. Killen
Impact in
- Aging top 5%
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
Papers in
-
- DNA Repair Mechanisms 10
- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 3
- Cell death mechanisms and regulation 2
- Genetics 3
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Andrew J. Pierce (11 shared papers)Dawn Michelle Stults (10 shared papers)Mark P. Mattson (2 shared papers)Weiming Fu (2 shared papers)Heather Pierce (1 shared paper)James G. Begley (1 shared paper)Carsten Culmsee (1 shared paper)Tej K. Pandita (1 shared paper)
- Journals
- BMC Molecular Biology (2 papers)Cancer Research (1 paper)Human Molecular Genetics (1 paper)Journal of Biological Chemistry (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Michael W. Killen
12 papers receiving 991 citations
Peers
Comparison fields: 5 of 67
- Aging 63
- Molecular Biology 820
- Physiology 296
- Cancer Research 129
- Developmental Neuroscience 22
Countries citing papers authored by Michael W. Killen
This map shows the geographic impact of Michael W. Killen'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 W. Killen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Killen more than expected).
Fields of papers citing papers by Michael W. Killen
This network shows the impact of papers produced by Michael W. Killen. 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 W. Killen. The network helps show where Michael W. Killen may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael W. Killen, 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 | 2007 | 230 | |
| 2 | 1999 | 220 | |
| 3 | 2010 | 162 | |
| 4 | 2000 | 149 | |
| 5 | 2009 | 133 | |
| 6 | 2009 | 71 | |
| 7 | 2014 | 25 | |
| 8 | Configuration and rearrangement of the human GAGE gene clusters. | 2011 | 7 |
| 9 | 2020 | 6 | |
| 10 | 2011 | 6 | |
| 11 | 2012 | 4 | |
| 12 | 2020 | 1 | |
| 13 | 2014 | 0 |
About Michael W. Killen
Michael W. Killen is a scholar working on Molecular Biology, Genetics, Physiology, Plant Science and Cancer Research, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers), Cell death mechanisms and regulation (2 papers), Chromosomal and Genetic Variations (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Aging (63 citations), Molecular Biology (820 citations), Physiology (296 citations), Cancer Research (129 citations) and Developmental Neuroscience (22 citations). Michael W. Killen has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Andrew J. Pierce, Dawn Michelle Stults, Mark P. Mattson, Weiming Fu, Heather Pierce, James G. Begley, Carsten Culmsee, Tej K. Pandita, Sonu Dhar and Jeffrey A. Moscow. Their work appears in journals such as BMC Molecular Biology, Cancer Research, Human Molecular Genetics, Journal of Biological Chemistry and Genome 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.