Kyle A. Cottrell
Impact in
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- RNA modifications and cancer
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 2
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- RNA Research and Splicing 9
- RNA regulation and disease 8
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 1
- Co-authors
- Sergej Djuranović (4 shared papers)Paweł Szczęsny (2 shared papers)Jason D. Weber (5 shared papers)Brenda Bass (2 shared papers)Ryan J. Andrews (1 shared paper)Zeno Lavagnino (1 shared paper)David W. Piston (1 shared paper)Joseph Daniel Puglisi (1 shared paper)
- Journals
- Scientific Reports (3 papers)RNA (2 papers)Nature Communications (2 papers)Biochemical Society Transactions (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesPolandItaly
In The Last Decade
Kyle A. Cottrell
15 papers receiving 358 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 309
- Cancer Research 53
- Immunology 35
- Genetics 43
- Cardiology and Cardiovascular Medicine 26
Countries citing papers authored by Kyle A. Cottrell
This map shows the geographic impact of Kyle A. Cottrell'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 Kyle A. Cottrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle A. Cottrell more than expected).
Fields of papers citing papers by Kyle A. Cottrell
This network shows the impact of papers produced by Kyle A. Cottrell. 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 Kyle A. Cottrell. The network helps show where Kyle A. Cottrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle A. Cottrell, 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 | 2019 | 113 | |
| 2 | 2020 | 60 | |
| 3 | 2023 | 48 | |
| 4 | 2018 | 34 | |
| 5 | 2017 | 30 | |
| 6 | 2021 | 23 | |
| 7 | 2024 | 20 | |
| 8 | 2011 | 10 | |
| 9 | 2016 | 7 | |
| 10 | 2020 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 |
About Kyle A. Cottrell
Kyle A. Cottrell is a scholar working on Cancer Research, Molecular Biology, Geriatrics and Gerontology, Immunology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA regulation and disease (8 papers), RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (2 papers), CRISPR and Genetic Engineering (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Molecular Biology (309 citations), Cancer Research (53 citations), Immunology (35 citations), Genetics (43 citations) and Cardiology and Cardiovascular Medicine (26 citations). Kyle A. Cottrell has collaborated with scholars based in United States, Poland and Italy. Frequent co-authors include Sergej Djuranović, Paweł Szczęsny, Jason D. Weber, Brenda Bass, Ryan J. Andrews, Zeno Lavagnino, David W. Piston, Joseph Daniel Puglisi, Junhong Choi and Slavica Pavlovic‐Djuranovic. Their work appears in journals such as Scientific Reports, RNA, Nature Communications, Biochemical Society Transactions 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.