Ian Farrell

570 total citations
9 papers, 418 citations indexed

About

Ian Farrell is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Ian Farrell has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Ian Farrell's work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Ian Farrell is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Ian Farrell collaborates with scholars based in United States, Switzerland and United Kingdom. Ian Farrell's co-authors include Barry S. Cooperman, Jennifer L. Hazen, Rebecca Toroney, Ryan A. Mehl, Jason W. Chin, Chunlai Chen, Yale E. Goldman, Haibo Zhang, Michael Reiche and Zeev Smilansky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nano Letters.

In The Last Decade

Ian Farrell

9 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian Farrell United States 8 336 89 48 35 31 9 418
Florian Groher Germany 15 577 1.7× 101 1.1× 104 2.2× 18 0.5× 33 1.1× 20 663
Tomáš Fessl Czechia 10 424 1.3× 46 0.5× 23 0.5× 16 0.5× 33 1.1× 16 473
Aaron W. Feldman United States 12 741 2.2× 130 1.5× 22 0.5× 84 2.4× 70 2.3× 13 800
Andrey Mikheikin Russia 10 294 0.9× 29 0.3× 90 1.9× 24 0.7× 23 0.7× 18 385
Jean‐Luc Ranck France 9 390 1.2× 28 0.3× 34 0.7× 53 1.5× 20 0.6× 14 486
Sung-Hun Bae South Korea 16 594 1.8× 91 1.0× 23 0.5× 21 0.6× 39 1.3× 20 676
Edward L. Rachofsky United States 8 499 1.5× 48 0.5× 17 0.4× 41 1.2× 23 0.7× 13 553
Andreas Engel Switzerland 9 346 1.0× 29 0.3× 24 0.5× 12 0.3× 31 1.0× 10 442
Jared D. Moon United States 6 808 2.4× 40 0.4× 90 1.9× 53 1.5× 62 2.0× 7 857
Swantje Lenz Germany 8 466 1.4× 76 0.9× 18 0.4× 21 0.6× 41 1.3× 11 600

Countries citing papers authored by Ian Farrell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ian Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Farrell. A scholar is included among the top collaborators of Ian Farrell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian Farrell. Ian Farrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Plochowietz, Anne, Ian Farrell, Zeev Smilansky, Barry S. Cooperman, & Achillefs N. Kapanidis. (2016). In vivosingle-RNA tracking shows that most tRNA diffuses freely in live bacteria. Nucleic Acids Research. 45(2). 926–937. 29 indexed citations
2.
Chen, Chunlai, Xiaonan Cui, John F. Beausang, et al.. (2016). Elongation factor G initiates translocation through a power stroke. Proceedings of the National Academy of Sciences. 113(27). 7515–7520. 50 indexed citations
3.
Henley, Robert Y., Brian Ashcroft, Ian Farrell, et al.. (2015). Electrophoretic Deformation of Individual Transfer RNA Molecules Reveals Their Identity. Nano Letters. 16(1). 138–144. 48 indexed citations
4.
Liu, Jiaqi, Macarena Pampillo, Feng Guo, et al.. (2014). Monitoring Collagen Synthesis in Fibroblasts Using Fluorescently Labeled tRNA Pairs. Journal of Cellular Physiology. 229(9). 1121–1129. 11 indexed citations
5.
Chen, Chunlai, Haibo Zhang, Michael Reiche, et al.. (2013). Dynamics of translation by single ribosomes through mRNA secondary structures. Nature Structural & Molecular Biology. 20(5). 582–588. 108 indexed citations
6.
Farrell, Ian, Dvir Dahary, Barry S. Cooperman, et al.. (2013). Dicodon monitoring of protein synthesis (DiCoMPS) reveals levels of synthesis of a viral protein in single cells. Nucleic Acids Research. 41(18). e177–e177. 13 indexed citations
7.
Stevens, Benjamin, Chunlai Chen, Ian Farrell, et al.. (2012). FRET-Based Identification of mRNAs Undergoing Translation. PLoS ONE. 7(5). e38344–e38344. 16 indexed citations
8.
Mandecki, Włodek, Shashank Bharill, Julian Borejdo, et al.. (2008). Fluorescence enhancement on silver nanostructures: studies of components of ribosomal translation in vitro. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6862. 68620T–68620T. 2 indexed citations
9.
Farrell, Ian, Rebecca Toroney, Jennifer L. Hazen, Ryan A. Mehl, & Jason W. Chin. (2005). Photo-cross-linking interacting proteins with a genetically encoded benzophenone. Nature Methods. 2(5). 377–384. 141 indexed citations

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.

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