Kyle Hoffman

479 total citations
26 papers, 342 citations indexed

About

Kyle Hoffman is a scholar working on Molecular Biology, Organic Chemistry and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kyle Hoffman has authored 26 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Organic Chemistry and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kyle Hoffman's work include RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (12 papers) and RNA Research and Splicing (8 papers). Kyle Hoffman is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (12 papers) and RNA Research and Splicing (8 papers). Kyle Hoffman collaborates with scholars based in Canada, United States and Germany. Kyle Hoffman's co-authors include Christopher J. Brandl, Patrick O’Donoghue, Dieter Söll, Stanley T. Crooke, Matthew D. Berg, H.L. Wu, Omer Ad, Andrew G. Cairns, Scott J. Miller and Alanna Schepartz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kyle Hoffman

25 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Hoffman Canada 12 269 37 25 23 21 26 342
Rebecca K. Donegan United States 11 272 1.0× 62 1.7× 11 0.4× 15 0.7× 13 0.6× 13 392
Kyoung‐Soo Choi United States 8 257 1.0× 32 0.9× 24 1.0× 50 2.2× 30 1.4× 10 345
Tomomi Uchikubo‐Kamo Japan 11 255 0.9× 24 0.6× 11 0.4× 34 1.5× 9 0.4× 19 334
Jerzy Dorosz Denmark 9 184 0.7× 27 0.7× 20 0.8× 12 0.5× 6 0.3× 18 239
Masatoshi Saiki Japan 8 216 0.8× 63 1.7× 11 0.4× 43 1.9× 18 0.9× 12 324
Marine Houdou France 11 209 0.8× 39 1.1× 24 1.0× 53 2.3× 37 1.8× 16 304
Tea Shuvaeva United States 6 219 0.8× 51 1.4× 13 0.5× 31 1.3× 35 1.7× 8 305
Emi Mishiro‐Sato Japan 10 173 0.6× 18 0.5× 18 0.7× 32 1.4× 8 0.4× 30 278
Sylvie Callegari Germany 12 384 1.4× 44 1.2× 9 0.4× 11 0.5× 9 0.4× 20 490
Sara Alves Portugal 9 294 1.1× 43 1.2× 5 0.2× 26 1.1× 12 0.6× 16 422

Countries citing papers authored by Kyle Hoffman

Since Specialization
Citations

This map shows the geographic impact of Kyle Hoffman'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 Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Hoffman more than expected).

Fields of papers citing papers by Kyle Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle Hoffman. 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 Hoffman. The network helps show where Kyle Hoffman may publish in the future.

Co-authorship network of co-authors of Kyle Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Hoffman. A scholar is included among the top collaborators of Kyle Hoffman 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 Kyle Hoffman. Kyle Hoffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Saralamma, Venu Venkatarame Gowda, J.J.David Ho, Nikolai Fattakhov, et al.. (2025). Blocking NRF2 Translation by Inhibition of Cap-Dependent Initiation Sensitizes Lymphoma Cells to Ferroptosis and CAR T-cell Immunotherapy. Cancer Research. 85(19). 3717–3736. 1 indexed citations
2.
Hoffman, Kyle, et al.. (2025). Natural human tRNAAlaanticodon variants mistranslate the genetic code. RNA. 31(6). 791–806. 1 indexed citations
3.
Hoffman, Kyle, et al.. (2025). High-fidelity and differential nonsense suppression in live cells and a frontotemporal dementia allele with human transfer RNAs. Nucleic Acids Research. 53(14). 1 indexed citations
4.
Saralamma, Venu Venkatarame Gowda, Marco Russo, Nikolai Fattakhov, et al.. (2024). Translational Disruption of NRF2 By Zotatifin Enhances Sensitivity to Ferroptosis and CAR-T Cells in Diffuse Large B-Cell Lymphoma. Blood. 144(Supplement 1). 4167–4167. 1 indexed citations
5.
Hoffman, Kyle, et al.. (2024). Transfer RNA supplementation rescues HARS deficiency in a humanized yeast model of Charcot-Marie-Tooth disease. Nucleic Acids Research. 52(22). 14043–14060. 2 indexed citations
6.
Voigt, Aaron, et al.. (2024). Glutamine missense suppressor transfer RNAs inhibit polyglutamine aggregation. Molecular Therapy — Nucleic Acids. 36(1). 102442–102442. 2 indexed citations
7.
Hoffman, Kyle, Christina Z. Chung, Takahito Mukai, et al.. (2023). Recoding UAG to selenocysteine inSaccharomyces cerevisiae. RNA. 29(9). 1400–1410. 9 indexed citations
8.
9.
Jahn, Martina, Kyle Hoffman, Éric Westhof, et al.. (2023). Mistranslation of the genetic code by a new family of bacterial transfer RNAs. Journal of Biological Chemistry. 299(7). 104852–104852. 7 indexed citations
10.
Hoffman, Kyle, et al.. (2022). Characterization of Senecavirus A Isolates Collected From the Environment of U.S. Sow Slaughter Plants. Frontiers in Veterinary Science. 9. 923878–923878. 1 indexed citations
11.
Vargas‐Rodriguez, Oscar, Ahmed H. Badran, Kyle Hoffman, et al.. (2021). Bacterial translation machinery for deliberate mistranslation of the genetic code. Proceedings of the National Academy of Sciences. 118(35). 12 indexed citations
12.
Ad, Omer, Kyle Hoffman, Andrew G. Cairns, et al.. (2019). Translation of Diverse Aramid- and 1,3-Dicarbonyl-peptides by Wild Type Ribosomes in Vitro. ACS Central Science. 5(7). 1289–1294. 55 indexed citations
13.
Hoffman, Kyle, Oscar Vargas‐Rodriguez, Daniel W. Bak, et al.. (2019). A cysteinyl-tRNA synthetase variant confers resistance against selenite toxicity and decreases selenocysteine misincorporation. Journal of Biological Chemistry. 294(34). 12855–12865. 15 indexed citations
14.
Hoffman, Kyle, Ana Crnković, & Dieter Söll. (2018). Versatility of Synthetic tRNAs in Genetic Code Expansion. Genes. 9(11). 537–537. 12 indexed citations
15.
Hoffman, Kyle, Patrick O’Donoghue, & Christopher J. Brandl. (2017). Mistranslation: from adaptations to applications. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(11). 3070–3080. 11 indexed citations
16.
Berg, Matthew D., Kyle Hoffman, Julie Genereaux, et al.. (2017). Evolving Mistranslating tRNAs Through a Phenotypically Ambivalent Intermediate inSaccharomyces cerevisiae. Genetics. 206(4). 1865–1879. 20 indexed citations
17.
Hoffman, Kyle, Matthew D. Berg, Brian H. Shilton, Christopher J. Brandl, & Patrick O’Donoghue. (2016). Genetic selection for mistranslation rescues a defective co-chaperone in yeast. Nucleic Acids Research. 45(6). 3407–3421. 36 indexed citations
18.
Hoffman, Kyle, et al.. (2013). Synthetically engineeredrpb1alleles altering RNA polymerase II carboxy terminal domain phosphorylation induce discrete morphogenetic defects inSchizosaccharomyces pombe. Communicative & Integrative Biology. 6(3). e23954–e23954. 1 indexed citations
19.
Hoffman, Kyle, et al.. (1987). Leukotriene-induced hydrolysis of inositol lipids in guinea pig lung: mechanism of signal transduction for leukotriene-D4 receptors.. Molecular Pharmacology. 31(1). 35–41. 45 indexed citations
20.
Mong, Seymour, G Chi-Rosso, Joanne M. Miller, et al.. (1986). Leukotriene B4 induces formation of inositol phosphates in rat peritoneal polymorphonuclear leukocytes.. Molecular Pharmacology. 30(3). 235–242. 25 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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