Matthew J. Payea
Impact in
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- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Circular RNAs in diseases
- Genomics and Phylogenetic Studies
- Cancer-related gene regulation
Papers in
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- RNA modifications and cancer 8
- RNA and protein synthesis mechanisms 7
- RNA Research and Splicing 6
- RNA Interference and Gene Delivery 2
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- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Myriam Gorospe (7 shared papers)Carlos Anerillas (3 shared papers)Eric M. Phizicky (4 shared papers)Ravi Tharakan (1 shared paper)Michael P. Guy (3 shared papers)William F. Heinz (1 shared paper)Stuart F.J. Le Grice (1 shared paper)Yoshiko Kon (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)RNA (2 papers)eLife (2 papers)Nature Communications (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesCzechiaBelgium
In The Last Decade
Matthew J. Payea
16 papers receiving 230 citations
Peers
Comparison fields: 5 of 54
- Aging 6
- Molecular Biology 183
- Cancer Research 37
- Physiology 31
- Geriatrics and Gerontology 2
Countries citing papers authored by Matthew J. Payea
This map shows the geographic impact of Matthew J. Payea'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 Matthew J. Payea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Payea more than expected).
Fields of papers citing papers by Matthew J. Payea
This network shows the impact of papers produced by Matthew J. Payea. 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 Matthew J. Payea. The network helps show where Matthew J. Payea may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew J. Payea, 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 | 2014 | 53 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 40 | |
| 4 | 2022 | 21 | |
| 5 | 2019 | 17 | |
| 6 | 2017 | 16 | |
| 7 | 2024 | 12 | |
| 8 | 2014 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 1 |
About Matthew J. Payea
Matthew J. Payea is a scholar working on Molecular Biology, Physiology, Cell Biology, Spectroscopy and Aging, having authored 16 papers that have together received 232 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Advanced Proteomics Techniques and Applications (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Biotin and Related Studies (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Aging (6 citations), Molecular Biology (183 citations), Cancer Research (37 citations), Physiology (31 citations) and Geriatrics and Gerontology (2 citations). Matthew J. Payea has collaborated with scholars based in United States, Czechia and Belgium. Frequent co-authors include Myriam Gorospe, Carlos Anerillas, Eric M. Phizicky, Ravi Tharakan, Michael P. Guy, William F. Heinz, Stuart F.J. Le Grice, Yoshiko Kon, Jason W. Rausch and Xiaoju Zhang. Their work appears in journals such as Journal of Visualized Experiments, RNA, eLife, Nature Communications and Molecular Cell.
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.