Ryan T. Bell
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- RNA Research and Splicing 1
- Genetics 5
- Evolution and Genetic Dynamics 2
- Bacterial Genetics and Biotechnology 2
- Genetic Associations and Epidemiology 1
- Co-authors
- Becky Xu Hua Fu (2 shared papers)Andrew Fire (2 shared papers)Phil S. Hartman (1 shared paper)Joshua A. Arribere (1 shared paper)Karen L. Artiles (1 shared paper)Eugene V. Koonin (3 shared papers)Yuri I. Wolf (3 shared papers)Alexandra Sockell (1 shared paper)
- Journals
- eLife (2 papers)Genetics (2 papers)BMC Biology (1 paper)Journal of Heredity (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Ryan T. Bell
6 papers receiving 601 citations
Ryan T. Bell's Hit Papers
Peers
Comparison fields: 5 of 68
- Aging 393
- Endocrine and Autonomic Systems 58
- Molecular Biology 460
- Cell Biology 86
- Business and International Management 8
Countries citing papers authored by Ryan T. Bell
This map shows the geographic impact of Ryan T. Bell'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 Ryan T. Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Bell more than expected).
Fields of papers citing papers by Ryan T. Bell
This network shows the impact of papers produced by Ryan T. Bell. 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 Ryan T. Bell. The network helps show where Ryan T. Bell may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan T. Bell, 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 | Efficient Marker-Free Recovery of Custom Genetic Modifications with CRISPR/Cas9 in Caenorhabditis elegans Hit paper breakdown → | 2014 | 546 |
| 2 | 2016 | 27 | |
| 3 | 2015 | 20 | |
| 4 | 2020 | 9 | |
| 5 | 2024 | 5 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 |
About Ryan T. Bell
Ryan T. Bell is a scholar working on Molecular Biology, Genetics, Aging, Management, Monitoring, Policy and Law and Food Science, having authored 7 papers that have together received 609 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Evolution and Genetic Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), RNA modifications and cancer (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genetic Associations and Epidemiology (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Aging (393 citations), Endocrine and Autonomic Systems (58 citations), Molecular Biology (460 citations), Cell Biology (86 citations) and Business and International Management (8 citations). Ryan T. Bell has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Becky Xu Hua Fu, Andrew Fire, Phil S. Hartman, Joshua A. Arribere, Karen L. Artiles, Eugene V. Koonin, Yuri I. Wolf, Alexandra Sockell, Joanna L. Kelley and Graciela Bailliet. Their work appears in journals such as eLife, Genetics, BMC Biology, Journal of Heredity and PLoS Genetics.
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.