Scott Kennedy
Impact in
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
- RNA modifications and cancer
Papers in
- Aging 17
- Genetics, Aging, and Longevity in Model Organisms 17
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- CRISPR and Genetic Engineering 21
- RNA Research and Splicing 18
- RNA modifications and cancer 6
- Cell death mechanisms and regulation 6
- RNA Interference and Gene Delivery 5
- Genomics and Chromatin Dynamics 5
- RNA regulation and disease 4
Scott Kennedy
51 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Aging 2.5k
- Molecular Biology 6.3k
- Endocrine and Autonomic Systems 559
- Cancer Research 984
- Cell Biology 464
Countries citing papers authored by Scott Kennedy
This map shows the geographic impact of Scott Kennedy'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 Scott Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Kennedy more than expected).
Fields of papers citing papers by Scott Kennedy
This network shows the impact of papers produced by Scott Kennedy. 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 Scott Kennedy. The network helps show where Scott Kennedy may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Kennedy, 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 | 2025 | 3 | |
| 3 | 2024 | 15 | |
| 4 | 2022 | 15 | |
| 5 | 2020 | 86 | |
| 6 | 2019 | 30 | |
| 7 | 2018 | 31 | |
| 8 | 2018 | 11 | |
| 9 | 2018 | 147 | |
| 10 | 2013 | 63 | |
| 11 | 2011 | 110 | |
| 12 | 2010 | 156 | |
| 13 | 2008 | 263 | |
| 14 | 2006 | 309 | |
| 15 | 2005 | 223 | |
| 16 | 2005 | 223 | |
| 17 | 2001 | 8 | |
| 18 | A Wage Curve for Australia | 1997 | 2 |
| 19 | The PI 3-kinase/Akt signaling pathway delivers an anti-apoptotic signal. Hit paper breakdown → | 1997 | 972 |
| 20 | Incomes and Living Standards of Older People: A Comparative Analysis | 1995 | 15 |
About Scott Kennedy
Scott Kennedy is a scholar working on Aging, Molecular Biology, Cancer Research, Geology and Plant Science, having authored 52 papers that have together received 8.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (21 papers), RNA Research and Splicing (18 papers), Genetics, Aging, and Longevity in Model Organisms (17 papers), RNA modifications and cancer (6 papers), Cell death mechanisms and regulation (6 papers), RNA Interference and Gene Delivery (5 papers), Genomics and Chromatin Dynamics (5 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Aging (2.5k citations), Molecular Biology (6.3k citations), Endocrine and Autonomic Systems (559 citations), Cancer Research (984 citations) and Cell Biology (464 citations). Scott Kennedy has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Nissim Hay, Gary Ruvkun, Eugene Kandel, Duo Wang, Kirk B. Burkhart, Alfonso Bellacosa, Nahum Sonenberg, Anne‐Claude Gingras, Suzanne D. Conzen and Andrew J. Wagner. Their work appears in journals such as Nature, Genetics, Genes & Development, Science and 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.