Betty Chung

2.8k total citations · 1 hit paper
26 papers, 2.0k citations indexed

About

Betty Chung is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Betty Chung has authored 26 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Plant Science and 4 papers in Infectious Diseases. Recurrent topics in Betty Chung's work include RNA and protein synthesis mechanisms (11 papers), Plant Virus Research Studies (7 papers) and RNA modifications and cancer (5 papers). Betty Chung is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), Plant Virus Research Studies (7 papers) and RNA modifications and cancer (5 papers). Betty Chung collaborates with scholars based in United Kingdom, United States and Ireland. Betty Chung's co-authors include Andrew E. Firth, John F. Atkins, W. Allen Miller, Ian Brierley, Nerea Irigoyen, Joshua D. Jones, Allan Olspert, John P. Carr, Marina N. Fleeton and David C. Baulcombe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Betty Chung

23 papers receiving 2.0k citations

Hit Papers

An overlapping essential gene in the Potyviridae 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Betty Chung United Kingdom 14 1.4k 647 533 313 293 26 2.0k
Rui Lu United States 17 2.3k 1.7× 1.2k 1.9× 479 0.9× 512 1.6× 147 0.5× 25 3.1k
Daniel Barajas United States 22 1.3k 1.0× 629 1.0× 448 0.8× 282 0.9× 114 0.4× 31 1.7k
Isabelle Jupin France 25 1.4k 1.0× 625 1.0× 342 0.6× 230 0.7× 103 0.4× 45 1.6k
Judit Pogany United States 30 2.2k 1.6× 921 1.4× 1.0k 2.0× 503 1.6× 291 1.0× 49 2.7k
Xianbing Wang China 30 2.7k 2.0× 948 1.5× 686 1.3× 608 1.9× 91 0.3× 79 3.1k
Renato O. Resende Brazil 31 2.7k 2.0× 447 0.7× 1.0k 1.9× 945 3.0× 189 0.6× 121 3.0k
Dániel Silhavy Hungary 21 1.9k 1.4× 1.4k 2.1× 603 1.1× 354 1.1× 73 0.2× 40 2.7k
Guohui Zhou China 28 1.5k 1.1× 698 1.1× 226 0.4× 918 2.9× 250 0.9× 93 2.4k
Véronique Brault France 26 2.2k 1.6× 546 0.8× 469 0.9× 1.2k 3.9× 88 0.3× 62 2.4k
Michael Janda United States 18 1.8k 1.3× 705 1.1× 604 1.1× 195 0.6× 290 1.0× 31 2.4k

Countries citing papers authored by Betty Chung

Since Specialization
Citations

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

Fields of papers citing papers by Betty Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Betty Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Betty Chung. A scholar is included among the top collaborators of Betty Chung 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 Betty Chung. Betty Chung 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.
Peyret, Hadrien, et al.. (2025). RNA elements and their biotechnological applications in plants. New Phytologist. 247(6). 2517–2537.
2.
Wood, George, Jessica Powell, Panagiotis Tourlomousis, et al.. (2025). The Salmonella pathogenicity island 1 injectisome reprograms host cell translation to evade the inflammatory response. Nature Communications. 16(1). 9742–9742.
3.
Powell, Jessica, et al.. (2023). The distinct translational landscapes of gram-negative Salmonella and gram-positive Listeria. Nature Communications. 14(1). 8167–8167. 2 indexed citations
4.
Thomas, S.E., Martin Balcerowicz, & Betty Chung. (2022). RNA structure mediated thermoregulation: What can we learn from plants?. Frontiers in Plant Science. 13. 938570–938570. 15 indexed citations
5.
Chung, Betty, et al.. (2021). Chaperone‐mediated coupling of subunit availability to activation of flagellar Type III secretion. Molecular Microbiology. 116(2). 538–549. 6 indexed citations
6.
Dumetz, Franck, Eugene Yui‐Ching Chow, Mubarak Ishaq Umar, et al.. (2021). G-quadruplex RNA motifs influence gene expression in the malaria parasite Plasmodium falciparum. Nucleic Acids Research. 49(21). 12486–12501. 13 indexed citations
7.
Albarnaz, Jonas D., Hongwei Ren, Alice A. Torres, et al.. (2021). Molecular mimicry of NF-κB by vaccinia virus protein enables selective inhibition of antiviral responses. Nature Microbiology. 7(1). 154–168. 42 indexed citations
8.
Balcerowicz, Martin, Marco Di Antonio, & Betty Chung. (2021). Monitoring Real-time Temperature Dynamics of a Short RNA Hairpin Using Förster Resonance Energy Transfer and Circular Dichroism. BIO-PROTOCOL. 11(6). e3950–e3950.
9.
Chung, Betty, Martin Balcerowicz, Marco Di Antonio, et al.. (2020). An RNA thermoswitch regulates daytime growth in Arabidopsis. Nature Plants. 6(5). 522–532. 194 indexed citations
10.
Pearce, Sarah F., Miriam Cipullo, Betty Chung, Ian Brierley, & Joanna Rorbach. (2020). Mitoribosome Profiling from Human Cell Culture: A High Resolution View of Mitochondrial Translation. Methods in molecular biology. 2192. 183–196. 10 indexed citations
11.
Chung, Betty, Adrián Vallí, Michael J. Deery, et al.. (2019). Distinct roles of Argonaute in the green alga Chlamydomonas reveal evolutionary conserved mode of miRNA-mediated gene expression. Scientific Reports. 9(1). 11091–11091. 13 indexed citations
12.
Chung, Betty, Michael J. Deery, Arnoud Groen, Julie A. Howard, & David C. Baulcombe. (2017). Endogenous miRNA in the green alga Chlamydomonas regulates gene expression through CDS-targeting. Nature Plants. 3(10). 787–794. 33 indexed citations
13.
Vallí, Adrián, Bruno Santos, Andrew Bassett, et al.. (2016). Most microRNAs in the single-cell alga Chlamydomonas reinhardtii are produced by Dicer-like 3-mediated cleavage of introns and untranslated regions of coding RNAs. Genome Research. 26(4). 519–529. 38 indexed citations
14.
Irigoyen, Nerea, Andrew E. Firth, Joshua D. Jones, et al.. (2016). High-Resolution Analysis of Coronavirus Gene Expression by RNA Sequencing and Ribosome Profiling. PLoS Pathogens. 12(2). e1005473–e1005473. 143 indexed citations
15.
Smirnova, Ekaterina, Andrew E. Firth, W. Allen Miller, et al.. (2015). Discovery of a Small Non-AUG-Initiated ORF in Poleroviruses and Luteoviruses That Is Required for Long-Distance Movement. PLoS Pathogens. 11(5). e1004868–e1004868. 139 indexed citations
17.
Cook, Shelley, Betty Chung, David Bass, et al.. (2013). Novel Virus Discovery and Genome Reconstruction from Field RNA Samples Reveals Highly Divergent Viruses in Dipteran Hosts. PLoS ONE. 8(11). e80720–e80720. 115 indexed citations
18.
Chung, Betty, Andrew E. Firth, & John F. Atkins. (2010). Frameshifting in Alphaviruses: A Diversity of 3′ Stimulatory Structures. Journal of Molecular Biology. 397(2). 448–456. 48 indexed citations
19.
Chung, Betty, W. Allen Miller, John F. Atkins, & Andrew E. Firth. (2008). An overlapping essential gene in the Potyviridae. Proceedings of the National Academy of Sciences. 105(15). 5897–5902. 711 indexed citations breakdown →
20.
Chung, Betty. (2008). CONTROL DE LOS CONTAMINANTES QUÍMICOS EN EL PERÚ. SHILAP Revista de lepidopterología. 3 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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