Greg L. Mayeur
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- RNA regulation and disease
- Polyamine Metabolism and Applications
- CRISPR and Genetic Engineering
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 3
- RNA modifications and cancer 2
- RNA regulation and disease 2
-
- Plant and Fungal Interactions Research 1
- Co-authors
- John W.B. Hershey (6 shared papers)Franck Peiretti (2 shared papers)Brian Raught (1 shared paper)Anne‐Claude Gingras (1 shared paper)Mark Livingstone (1 shared paper)David Shahbazian (1 shared paper)Roberto D. Polakiewicz (1 shared paper)Nahum Sonenberg (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular & Cellular Proteomics (1 paper)Cell (1 paper)Journal of Virology (1 paper)FEBS Letters (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Greg L. Mayeur
9 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 894
- Cancer Research 70
- Cell Biology 81
- Oncology 116
- Genetics 115
Countries citing papers authored by Greg L. Mayeur
This map shows the geographic impact of Greg L. Mayeur'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 Greg L. Mayeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg L. Mayeur more than expected).
Fields of papers citing papers by Greg L. Mayeur
This network shows the impact of papers produced by Greg L. Mayeur. 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 Greg L. Mayeur. The network helps show where Greg L. Mayeur may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg L. Mayeur, 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 | 2004 | 374 | |
| 2 | 2008 | 241 | |
| 3 | 2007 | 108 | |
| 4 | 2004 | 97 | |
| 5 | 2005 | 77 | |
| 6 | 2002 | 67 | |
| 7 | 2003 | 58 | |
| 8 | 2009 | 51 | |
| 9 | 2003 | 49 |
About Greg L. Mayeur
Greg L. Mayeur is a scholar working on Molecular Biology, Endocrinology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers), RNA regulation and disease (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Plant and Fungal Interactions Research (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Molecular Biology (894 citations), Cancer Research (70 citations), Cell Biology (81 citations), Oncology (116 citations) and Genetics (115 citations). Greg L. Mayeur has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John W.B. Hershey, Franck Peiretti, Brian Raught, Anne‐Claude Gingras, Mark Livingstone, David Shahbazian, Roberto D. Polakiewicz, Nahum Sonenberg, Yoon Ki Kim and Lynne E. Maquat. Their work appears in journals such as Journal of Biological Chemistry, Molecular & Cellular Proteomics, Cell, Journal of Virology and FEBS Letters.
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.