Stuart K. Archer
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 3
- Molecular Medicine top 5%
- Molecular Biology top 10%
- RNA modifications and cancer 14
- RNA Research and Splicing 12
- RNA and protein synthesis mechanisms 8
- Genomics and Phylogenetic Studies 3
- Signaling Pathways in Disease 3
- Microbiology top 5%
- Cancer Research top 10%
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- Trypanosoma species research and implications 7
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- Insect symbiosis and bacterial influences 3
- Co-authors
- Thomas PreißNikolay E. ShirokikhTraude H. BeilharzChristine ClaytonCharles ClaudianosHugh D. CampbellRafael Alves Bonfim de QueirozCarolyn A. Behm
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Stuart K. Archer
32 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Aging 60
- Molecular Medicine 91
- Molecular Biology 1.1k
- Microbiology 77
- Cancer Research 187
Countries citing papers authored by Stuart K. Archer
This map shows the geographic impact of Stuart K. Archer'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 Stuart K. Archer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart K. Archer more than expected).
Fields of papers citing papers by Stuart K. Archer
This network shows the impact of papers produced by Stuart K. Archer. 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 Stuart K. Archer. The network helps show where Stuart K. Archer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stuart K. Archer, 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 | 2024 | 1 | |
| 2 | 2022 | 16 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 7 | |
| 5 | Bacteriophage-resistant Acinetobacter baumannii are resensitized to antimicrobialsbreakdown → | 2021 | 230 |
| 6 | 2018 | 21 | |
| 7 | Obesity Drives STAT-1-Dependent NASH and STAT-3-Dependent HCCbreakdown → | 2018 | 280 |
| 8 | 2018 | 12 | |
| 9 | 2017 | 39 | |
| 10 | 2017 | 166 | |
| 11 | 2016 | 18 | |
| 12 | 2016 | 67 | |
| 13 | 2016 | 9 | |
| 14 | 2014 | 24 | |
| 15 | 2011 | 82 | |
| 16 | 2010 | 41 | |
| 17 | 2009 | 90 | |
| 18 | 2008 | 8 | |
| 19 | 2005 | 53 | |
| 20 | 2003 | 88 |
About Stuart K. Archer
Stuart K. Archer is a scholar working on Aging, Cancer Research, Molecular Biology, Epidemiology and Insect Science, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (14 papers), RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (8 papers), Trypanosoma species research and implications (7 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Signaling Pathways in Disease (3 papers) and Insect symbiosis and bacterial influences (3 papers). The work is most often cited by research in Aging (60 citations), Molecular Medicine (91 citations), Molecular Biology (1.1k citations), Microbiology (77 citations) and Cancer Research (187 citations). Stuart K. Archer has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Thomas Preiß, Nikolay E. Shirokikh, Traude H. Beilharz, Christine Clayton, Charles Claudianos, Hugh D. Campbell, Rafael Alves Bonfim de Queiroz, Carolyn A. Behm, Anne R. Gooding and Van-Duc Luu. Their work appears in journals such as PLoS ONE, Biochemical Society Transactions, iScience, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms 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.