Christopher M. Counter
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 0.1%
- Telomeres, Telomerase, and Senescence
Papers in
- Aging 6
- Physiology 41
- Telomeres, Telomerase, and Senescence 36
- Co-authors
- Robert A. WeinbergSilvia BacchettiRoderick L. BeijersbergenWilliam C. HahnKian‐Huat LimCalvin B. HarleyMary W. BrooksAnte S. Lundberg
- Journals
- Cancer Research (13 papers)Journal of Biological Chemistry (9 papers)Molecular and Cellular Biology (9 papers)PLoS ONE (8 papers)Nature Communications (6 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Christopher M. Counter
113 papers receiving 15.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Aging 880
- Physiology 7.0k
- Biotechnology 1.4k
- Molecular Biology 10.1k
- Oncology 3.2k
Countries citing papers authored by Christopher M. Counter
This map shows the geographic impact of Christopher M. Counter'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 Christopher M. Counter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Counter more than expected).
Fields of papers citing papers by Christopher M. Counter
This network shows the impact of papers produced by Christopher M. Counter. 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 Christopher M. Counter. The network helps show where Christopher M. Counter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher M. Counter, 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 | 2020 | 6 | |
| 2 | 2018 | 54 | |
| 3 | 2018 | 40 | |
| 4 | 2018 | 65 | |
| 5 | 2018 | 66 | |
| 6 | 2017 | 126 | |
| 7 | 2015 | 10 | |
| 8 | Erk2 Phosphorylation of Drp1 Promotes Mitochondrial Fission and MAPK-Driven Tumor Growth Hit paper breakdown → | 2015 | 538 |
| 9 | 2015 | 116 | |
| 10 | Copper is required for oncogenic BRAF signaling and tumorigenesis | 2014 | 1 |
| 11 | 2013 | 3 | |
| 12 | 2012 | 56 | |
| 13 | 2010 | 37 | |
| 14 | 2009 | 31 | |
| 15 | 2008 | 220 | |
| 16 | 2008 | 61 | |
| 17 | 2008 | 12 | |
| 18 | 2006 | 43 | |
| 19 | 2004 | 60 | |
| 20 | 2002 | 83 |
About Christopher M. Counter
Christopher M. Counter is a scholar working on Aging, Physiology, Molecular Biology, Biotechnology and Oncology, having authored 117 papers that have together received 16.2k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (36 papers), Cancer-related Molecular Pathways (17 papers), DNA Repair Mechanisms (16 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), CRISPR and Genetic Engineering (11 papers), Melanoma and MAPK Pathways (10 papers), Cancer Research and Treatments (10 papers) and Animal Genetics and Reproduction (10 papers). The work is most often cited by research in Aging (880 citations), Physiology (7.0k citations), Biotechnology (1.4k citations), Molecular Biology (10.1k citations) and Oncology (3.2k citations). Christopher M. Counter has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Robert A. Weinberg, Silvia Bacchetti, Roderick L. Beijersbergen, William C. Hahn, Kian‐Huat Lim, Calvin B. Harley, Mary W. Brooks, Ante S. Lundberg, Carol W. Greider and Matthew Meyerson. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Molecular and Cellular Biology, PLoS ONE and Nature Communications.
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.