Lynette M. Moore
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Aging top 10%
Papers in
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- Circular RNAs in diseases 4
- Epigenetics and DNA Methylation 3
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- MicroRNA in disease regulation 4
- Cancer, Hypoxia, and Metabolism 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Lawrence A. Donehower (4 shared papers)Melissa Dumble (2 shared papers)Gary Van Zant (1 shared paper)Margaret A. Goodell (1 shared paper)Wei Zhang (2 shared papers)Stuart M. Chambers (1 shared paper)Hartmut Geiger (1 shared paper)Peng Xu (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Chinese Journal of Cancer (1 paper)The Journal of Pathology (1 paper)Cell Cycle (1 paper)Expert Opinion on Therapeutic Targets (1 paper)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Lynette M. Moore
12 papers receiving 890 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 481
- Aging 26
- Genetics 146
- Molecular Biology 648
- Hematology 73
Countries citing papers authored by Lynette M. Moore
This map shows the geographic impact of Lynette M. Moore'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 Lynette M. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynette M. Moore more than expected).
Fields of papers citing papers by Lynette M. Moore
This network shows the impact of papers produced by Lynette M. Moore. 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 Lynette M. Moore. The network helps show where Lynette M. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Lynette M. Moore, 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 | 2010 | 296 | |
| 2 | 2006 | 190 | |
| 3 | 2013 | 110 | |
| 4 | 2012 | 96 | |
| 5 | 2009 | 45 | |
| 6 | 2010 | 43 | |
| 7 | 2003 | 37 | |
| 8 | 2007 | 28 | |
| 9 | 2007 | 26 | |
| 10 | 2012 | 22 | |
| 11 | 2015 | 5 | |
| 12 | 2011 | 1 |
About Lynette M. Moore
Lynette M. Moore is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pathology and Forensic Medicine, having authored 12 papers that have together received 899 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related molecular mechanisms research (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (481 citations), Aging (26 citations), Genetics (146 citations), Molecular Biology (648 citations) and Hematology (73 citations). Lynette M. Moore has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Lawrence A. Donehower, Melissa Dumble, Gary Van Zant, Margaret A. Goodell, Wei Zhang, Stuart M. Chambers, Hartmut Geiger, Peng Xu, Yu Ren and Peiyu Pu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chinese Journal of Cancer, The Journal of Pathology, Cell Cycle and Expert Opinion on Therapeutic Targets.
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.