Kenneth Stapleton
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 4
- Circular RNAs in diseases 3
- RNA Research and Splicing 2
- RNA Interference and Gene Delivery 2
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- Cancer-related molecular mechanisms research 6
- Co-authors
- Rama Natarajan (6 shared papers)Amy Leung (4 shared papers)Linda Lanting (5 shared papers)Sadhan Das (5 shared papers)Marpadga A. Reddy (5 shared papers)Parijat Senapati (2 shared papers)Mei Wang (2 shared papers)Lingxiao Zhang (2 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Molecular Therapy — Nucleic Acids (2 papers)Current topics in microbiology and immunology (1 paper)Cells (1 paper)Journal of Medical Microbiology (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Kenneth Stapleton
9 papers receiving 337 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 186
- Molecular Biology 210
- Immunology 60
- Cardiology and Cardiovascular Medicine 48
- Parasitology 12
Countries citing papers authored by Kenneth Stapleton
This map shows the geographic impact of Kenneth Stapleton'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 Kenneth Stapleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Stapleton more than expected).
Fields of papers citing papers by Kenneth Stapleton
This network shows the impact of papers produced by Kenneth Stapleton. 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 Kenneth Stapleton. The network helps show where Kenneth Stapleton may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Stapleton, 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 | 2018 | 105 | |
| 2 | 2018 | 93 | |
| 3 | 2020 | 38 | |
| 4 | 2006 | 35 | |
| 5 | 2015 | 28 | |
| 6 | 2013 | 20 | |
| 7 | 2023 | 12 | |
| 8 | 2012 | 6 | |
| 9 | 2021 | 5 |
About Kenneth Stapleton
Kenneth Stapleton is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Infectious Diseases and Virology, having authored 9 papers that have together received 342 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (3 papers), Lipid metabolism and disorders (3 papers), RNA Research and Splicing (2 papers), RNA Interference and Gene Delivery (2 papers), HIV Research and Treatment (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Cancer Research (186 citations), Molecular Biology (210 citations), Immunology (60 citations), Cardiology and Cardiovascular Medicine (48 citations) and Parasitology (12 citations). Kenneth Stapleton has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Rama Natarajan, Amy Leung, Linda Lanting, Sadhan Das, Marpadga A. Reddy, Parijat Senapati, Mei Wang, Lingxiao Zhang, Zhuo Chen and Rituparna Ganguly. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Molecular Therapy — Nucleic Acids, Current topics in microbiology and immunology, Cells and Journal of Medical Microbiology.
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.