Katelyn M. Green
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders 6
- Neurogenetic and Muscular Disorders Research 3
- Neurology top 10%
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- Genetic Neurodegenerative Diseases 4
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- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- RNA regulation and disease 3
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- Genetics and Neurodevelopmental Disorders 6
- Neurogenetic and Muscular Disorders Research 3
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- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Peter K. ToddAlexander E. LinsalataMichael G. KearseBrittany N. FloresSami J. BarmadaAmy KransAaron C. GoldstrohmM. Rebecca Glineburg
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Katelyn M. Green
16 papers receiving 687 citations
Peers
Comparison fields: 5 of 69
- Genetics 116
- Neurology 160
- Cellular and Molecular Neuroscience 183
- Molecular Biology 527
- Genetics 166
Countries citing papers authored by Katelyn M. Green
This map shows the geographic impact of Katelyn M. Green'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 Katelyn M. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katelyn M. Green more than expected).
Fields of papers citing papers by Katelyn M. Green
This network shows the impact of papers produced by Katelyn M. Green. 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 Katelyn M. Green. The network helps show where Katelyn M. Green may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katelyn M. Green, 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 | 2025 | 1 | |
| 2 | 2024 | 35 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 16 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 28 | |
| 7 | 2021 | 19 | |
| 8 | 2019 | 32 | |
| 9 | 2019 | 53 | |
| 10 | 2019 | 44 | |
| 11 | 2018 | 34 | |
| 12 | 2017 | 150 | |
| 13 | 2016 | 76 | |
| 14 | 2016 | 121 | |
| 15 | 2013 | 42 | |
| 16 | 2013 | 12 |
About Katelyn M. Green
Katelyn M. Green is a scholar working on Genetics, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 690 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (6 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers), Genetic Neurodegenerative Diseases (4 papers), RNA modifications and cancer (3 papers), RNA regulation and disease (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Genetics (116 citations), Neurology (160 citations) and Cellular and Molecular Neuroscience (183 citations). Katelyn M. Green has collaborated with scholars based in United States and Italy. Frequent co-authors include Peter K. Todd, Alexander E. Linsalata, Michael G. Kearse, Brittany N. Flores, Sami J. Barmada, Amy Krans, Aaron C. Goldstrohm, M. Rebecca Glineburg, Caitlin M. Rodriguez and Patrice E. Fort. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.