Ian Farrell
Impact in
-
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Biophysics top 10%
Papers in
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- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 3
- Advanced biosensing and bioanalysis techniques 2
- DNA and Nucleic Acid Chemistry 2
- RNA Research and Splicing 2
- Genetics 2
- Connective tissue disorders research 1
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Barry S. Cooperman (8 shared papers)Jason W. Chin (1 shared paper)Ryan A. Mehl (1 shared paper)Rebecca Toroney (1 shared paper)Jennifer L. Hazen (1 shared paper)Yale E. Goldman (3 shared papers)Chunlai Chen (3 shared papers)Michael Reiche (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Nature Methods (1 paper)Nature Structural & Molecular Biology (1 paper)Journal of Cellular Physiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Ian Farrell
9 papers receiving 413 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 336
- Biophysics 25
- Endocrinology 17
- Genetics 89
- Structural Biology 3
Countries citing papers authored by Ian Farrell
This map shows the geographic impact of Ian Farrell'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 Ian Farrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Farrell more than expected).
Fields of papers citing papers by Ian Farrell
This network shows the impact of papers produced by Ian Farrell. 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 Ian Farrell. The network helps show where Ian Farrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Farrell, 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 | 2005 | 141 | |
| 2 | 2013 | 108 | |
| 3 | 2016 | 50 | |
| 4 | 2015 | 48 | |
| 5 | 2016 | 29 | |
| 6 | 2012 | 16 | |
| 7 | 2013 | 13 | |
| 8 | 2014 | 11 | |
| 9 | 2008 | 2 |
About Ian Farrell
Ian Farrell is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Pharmacology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 418 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA Research and Splicing (2 papers), Connective tissue disorders research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Molecular Biology (336 citations), Biophysics (25 citations), Endocrinology (17 citations), Genetics (89 citations) and Structural Biology (3 citations). Ian Farrell has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Barry S. Cooperman, Jason W. Chin, Ryan A. Mehl, Rebecca Toroney, Jennifer L. Hazen, Yale E. Goldman, Chunlai Chen, Michael Reiche, Haibo Zhang and Zeev Smilansky. Their work appears in journals such as Nucleic Acids Research, Nature Methods, Nature Structural & Molecular Biology, Journal of Cellular Physiology and Proceedings of the National Academy of Sciences.
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.