Cedric Moore
Impact in
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Advanced Biosensing Techniques and Applications
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
Papers in
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- Glycosylation and Glycoproteins Research 2
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Protein Degradation and Inhibitors 1
- Ubiquitin and proteasome pathways 1
- Genetics 3
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Heng Zhu (6 shared papers)Kenneth S. Zaret (1 shared paper)Meilín Fernández García (1 shared paper)Katharine N. Schulz (1 shared paper)Melissa M. Harrison (1 shared paper)Qifeng Song (2 shared papers)Guang Song (2 shared papers)Jiang Qian (3 shared papers)
- Journals
- Molecular & Cellular Proteomics (2 papers)Molecular Cell (1 paper)Current Opinion in Chemical Biology (1 paper)Theriogenology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Cedric Moore
6 papers receiving 253 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 218
- Reproductive Medicine 12
- Cancer Research 16
- Immunology 17
- Developmental Neuroscience 3
Countries citing papers authored by Cedric Moore
This map shows the geographic impact of Cedric 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 Cedric Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cedric Moore more than expected).
Fields of papers citing papers by Cedric Moore
This network shows the impact of papers produced by Cedric 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 Cedric Moore. The network helps show where Cedric Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Cedric 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 | 2019 | 148 | |
| 2 | 2015 | 32 | |
| 3 | 2018 | 24 | |
| 4 | 2021 | 22 | |
| 5 | 2018 | 20 | |
| 6 | 2000 | 8 | |
| 7 | 2024 | 0 |
About Cedric Moore
Cedric Moore is a scholar working on Molecular Biology, Genetics, Oncology, Agronomy and Crop Science and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 254 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), RNA modifications and cancer (2 papers), Alzheimer's disease research and treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Protein Degradation and Inhibitors (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (218 citations), Reproductive Medicine (12 citations), Cancer Research (16 citations), Immunology (17 citations) and Developmental Neuroscience (3 citations). Cedric Moore has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Heng Zhu, Kenneth S. Zaret, Meilín Fernández García, Katharine N. Schulz, Melissa M. Harrison, Qifeng Song, Guang Song, Jiang Qian, M. H. Fahmy and J. K. Voglmayr. Their work appears in journals such as Molecular & Cellular Proteomics, Molecular Cell, Current Opinion in Chemical Biology, Theriogenology 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.