Jonathan D. Dinman

9.0k total citations
130 papers, 6.2k citations indexed

About

Jonathan D. Dinman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Plant Science. According to data from OpenAlex, Jonathan D. Dinman has authored 130 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Molecular Biology, 27 papers in Cardiology and Cardiovascular Medicine and 24 papers in Plant Science. Recurrent topics in Jonathan D. Dinman's work include RNA and protein synthesis mechanisms (101 papers), RNA modifications and cancer (57 papers) and RNA Research and Splicing (31 papers). Jonathan D. Dinman is often cited by papers focused on RNA and protein synthesis mechanisms (101 papers), RNA modifications and cancer (57 papers) and RNA Research and Splicing (31 papers). Jonathan D. Dinman collaborates with scholars based in United States, Lithuania and Netherlands. Jonathan D. Dinman's co-authors include Arturas Meškauskas, Reed B. Wickner, Jason W. Harger, Stuart W. Peltz, Ewan P. Plant, Alexey Petrov, Rasa Rakauskaitė, T Icho, Ashton T. Belew and Jonathan L. Jacobs and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jonathan D. Dinman

130 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan D. Dinman United States 49 5.1k 948 855 570 548 130 6.2k
Kevin M. Weeks United States 57 12.1k 2.4× 1.0k 1.1× 691 0.8× 815 1.4× 940 1.7× 175 13.3k
Patrick Linder Switzerland 49 7.9k 1.6× 291 0.3× 1.0k 1.2× 606 1.1× 1.3k 2.3× 101 9.3k
Jeffrey S. Kieft United States 40 4.1k 0.8× 1.6k 1.7× 642 0.8× 257 0.5× 272 0.5× 96 5.5k
C.M.T. Spahn Germany 48 6.4k 1.3× 729 0.8× 415 0.5× 436 0.8× 1.3k 2.3× 103 7.6k
Kaihong Zhou United States 27 7.7k 1.5× 886 0.9× 685 0.8× 744 1.3× 969 1.8× 35 8.4k
Ronny Lorenz Austria 18 5.1k 1.0× 225 0.2× 652 0.8× 533 0.9× 659 1.2× 35 6.1k
Eckhard Jankowsky United States 42 6.7k 1.3× 343 0.4× 514 0.6× 200 0.4× 484 0.9× 92 7.7k
Otto Berninghausen Germany 58 7.0k 1.4× 298 0.3× 262 0.3× 579 1.0× 1.3k 2.3× 101 8.6k
Alain Roussel France 41 2.2k 0.4× 236 0.2× 494 0.6× 351 0.6× 620 1.1× 108 5.2k
Núria Verdaguer Spain 37 2.1k 0.4× 1.4k 1.5× 580 0.7× 418 0.7× 462 0.8× 105 4.0k

Countries citing papers authored by Jonathan D. Dinman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Dinman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Dinman. 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 Jonathan D. Dinman. The network helps show where Jonathan D. Dinman may publish in the future.

Co-authorship network of co-authors of Jonathan D. Dinman

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Dinman. A scholar is included among the top collaborators of Jonathan D. Dinman 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 Jonathan D. Dinman. Jonathan D. Dinman 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.
Rodríguez‐García, María Elena, Ana Martı́nez de Aragón, Jonathan D. Dinman, et al.. (2023). A novel de novo variant in CASK causes a severe neurodevelopmental disorder that masks the phenotype of a novel de novo variant in EEF2. Journal of Human Genetics. 68(8). 543–550. 5 indexed citations
2.
Munshi, Sneha, Krishna Neupane, Jamie A. Kelly, et al.. (2022). Identifying Inhibitors of −1 Programmed Ribosomal Frameshifting in a Broad Spectrum of Coronaviruses. Viruses. 14(2). 177–177. 22 indexed citations
3.
Kelly, Jamie A., Michael T. Woodside, & Jonathan D. Dinman. (2020). Programmed −1 Ribosomal Frameshifting in coronaviruses: A therapeutic target. Virology. 554. 75–82. 53 indexed citations
4.
Lin, Shih‐Chao, Brian D. Carey, Jonathan L. Jacobs, et al.. (2019). EGR1 upregulation following Venezuelan equine encephalitis virus infection is regulated by ERK and PERK pathways contributing to cell death. Virology. 539. 121–128. 18 indexed citations
5.
Sulima, Sergey O., Kim R. Kampen, Stijn Vereecke, et al.. (2018). Ribosomal Lesions Promote Oncogenic Mutagenesis. Cancer Research. 79(2). 320–327. 26 indexed citations
6.
Kendra, Joseph A., Cynthia de la Fuente, Todd M. Bell, et al.. (2016). Ablation of Programmed −1 Ribosomal Frameshifting in Venezuelan Equine Encephalitis Virus Results in Attenuated Neuropathogenicity. Journal of Virology. 91(3). 37 indexed citations
7.
Mäeorg, Uno, et al.. (2016). The Functional Role of eL19 and eB12 Intersubunit Bridge in the Eukaryotic Ribosome. Journal of Molecular Biology. 428(10). 2203–2216. 15 indexed citations
8.
Advani, Vivek M. & Jonathan D. Dinman. (2015). Reprogramming the genetic code: The emerging role of ribosomal frameshifting in regulating cellular gene expression. BioEssays. 38(1). 21–26. 39 indexed citations
9.
Musalgaonkar, Sharmishtha, et al.. (2014). Ribosomes in the balance: structural equilibrium ensures translational fidelity and proper gene expression. Nucleic Acids Research. 42(21). 13384–13392. 6 indexed citations
10.
11.
Guo, Rong, Arturas Meškauskas, Jonathan D. Dinman, & Anne E. Simon. (2011). Evolution of a helper virus-derived, ribosome binding translational enhancer in an untranslated satellite RNA of Turnip crinkle virus. Virology. 419(1). 10–16. 3 indexed citations
12.
Petrov, Alexey, et al.. (2008). Yeast ribosomal protein L10 helps coordinate tRNA movement through the large subunit. Nucleic Acids Research. 36(19). 6187–6198. 27 indexed citations
13.
Chaudhuri, Sujan, Keyur Vyas, Anton A. Komar, et al.. (2007). Human ribosomal protein L13a is dispensable for canonical ribosome function but indispensable for efficient rRNA methylation. RNA. 13(12). 2224–2237. 64 indexed citations
14.
Plant, Ewan P., et al.. (2007). Differentiating between Near- and Non-Cognate Codons in Saccharomyces cerevisiae. PLoS ONE. 2(6). e517–e517. 48 indexed citations
15.
Meškauskas, Arturas, Alexey Petrov, & Jonathan D. Dinman. (2005). Identification of Functionally Important Amino Acids of Ribosomal Protein L3 by Saturation Mutagenesis. Molecular and Cellular Biology. 25(24). 10863–10874. 54 indexed citations
16.
Meškauskas, Arturas, Edward A. Carr, Jason Yasenchak, et al.. (2003). Delayed rRNA Processing Results in Significant Ribosome Biogenesis and Functional Defects. Molecular and Cellular Biology. 23(5). 1602–1613. 26 indexed citations
17.
18.
Harger, Jason W., Arturas Meškauskas, Jennifer Nielsen, Michael Justice, & Jonathan D. Dinman. (2001). Ty1 Retrotransposition and Programmed +1 Ribosomal Frameshifting Require the Integrity of the Protein Synthetic Translocation Step. Virology. 286(1). 216–224. 23 indexed citations
19.
Dinman, Jonathan D., et al.. (2000). Kinetics of Ribosomal Pausing during Programmed −1 Translational Frameshifting. Molecular and Cellular Biology. 20(4). 1095–1103. 87 indexed citations
20.
Cui, Ying, Carlos I. González, Terri Goss Kinzy, Jonathan D. Dinman, & Stuart W. Peltz. (1999). Mutations in the MOF2/SUI1 gene affect both translation and nonsense-mediated mRNA decay. RNA. 5(6). 794–804. 30 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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