Chune Cao

2.2k total citations
18 papers, 1.7k citations indexed

About

Chune Cao is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Chune Cao has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Ecology. Recurrent topics in Chune Cao's work include RNA and protein synthesis mechanisms (11 papers), RNA regulation and disease (6 papers) and RNA Research and Splicing (6 papers). Chune Cao is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), RNA regulation and disease (6 papers) and RNA Research and Splicing (6 papers). Chune Cao collaborates with scholars based in United States, Canada and Russia. Chune Cao's co-authors include Thomas Dever, Joe Lutkenhaus, Frank Sicheri, Madhusudan Dey, Amit Mukherjee, S.K. Burley, Antonina Roll‐Mecak, Arvin C. Dar, Keiko Ozato and Dante Neculai and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Chune Cao

18 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chune Cao United States 16 1.4k 405 348 195 166 18 1.7k
Jeremy D. Brown United Kingdom 18 1.4k 1.1× 345 0.9× 315 0.9× 151 0.8× 73 0.4× 35 1.8k
Ibrahim M. Ibrahimi Switzerland 13 1.4k 1.0× 440 1.1× 280 0.8× 82 0.4× 159 1.0× 21 1.8k
Colin J. Stirling United Kingdom 30 2.2k 1.7× 669 1.7× 1.2k 3.4× 181 0.9× 164 1.0× 52 2.8k
William J. Chirico United States 17 1.6k 1.2× 176 0.4× 498 1.4× 71 0.4× 78 0.5× 24 1.9k
Joe Hedgpeth United States 19 1.1k 0.8× 589 1.5× 130 0.4× 66 0.3× 345 2.1× 26 1.6k
David M. Roberts United States 24 1.1k 0.8× 255 0.6× 339 1.0× 358 1.8× 98 0.6× 47 1.8k
Agnieszka Szyk United States 18 994 0.7× 109 0.3× 498 1.4× 183 0.9× 56 0.3× 42 1.5k
D Stueber Switzerland 10 858 0.6× 337 0.8× 96 0.3× 88 0.5× 150 0.9× 11 1.4k
Ryo Morishita Japan 17 1.2k 0.9× 103 0.3× 94 0.3× 104 0.5× 86 0.5× 39 1.6k
P R Waller United States 6 1.1k 0.8× 501 1.2× 142 0.4× 51 0.3× 212 1.3× 9 1.3k

Countries citing papers authored by Chune Cao

Since Specialization
Citations

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

Fields of papers citing papers by Chune Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chune Cao

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

All Works

18 of 18 papers shown
1.
Shin, Byung‐Sik, et al.. (2023). eEF2 diphthamide modification restrains spurious frameshifting to maintain translational fidelity. Nucleic Acids Research. 51(13). 6899–6913. 10 indexed citations
2.
Ivanov, Ivaylo P., James A. Saba, Chen‐Ming Fan, et al.. (2022). Evolutionarily conserved inhibitory uORFs sensitize Hox mRNA translation to start codon selection stringency. Proceedings of the National Academy of Sciences. 119(9). 30 indexed citations
3.
Shin, Byung‐Sik, Kevin Choi, Eric T. Christenson, et al.. (2021). Translational autoregulation of the S. cerevisiae high-affinity polyamine transporter Hol1. Molecular Cell. 81(19). 3904–3918.e6. 13 indexed citations
4.
Cao, Chune, et al.. (2019). Application of central composite design to the optimization of fly ash-based geopolymers. Construction and Building Materials. 230. 116960–116960. 17 indexed citations
5.
Ivanov, Ivaylo P., Byung‐Sik Shin, Gary Loughran, et al.. (2018). Polyamine Control of Translation Elongation Regulates Start Site Selection on Antizyme Inhibitor mRNA via Ribosome Queuing. Molecular Cell. 70(2). 254–264.e6. 94 indexed citations
6.
Cao, Chune, Janet M. Young, Chikako Ono, et al.. (2015). Baculovirus protein PK2 subverts eIF2α kinase function by mimicry of its kinase domain C-lobe. Proceedings of the National Academy of Sciences. 112(32). E4364–73. 15 indexed citations
7.
Dey, Madhusudan, et al.. (2008). Structure of the Dual Enzyme Ire1 Reveals the Basis for Catalysis and Regulation in Nonconventional RNA Splicing. Cell. 132(1). 89–100. 287 indexed citations
8.
Cao, Chune, et al.. (2008). Translation Initiation Factor 2γ Mutant Alters Start Codon Selection Independent of Met-tRNA Binding. Molecular and Cellular Biology. 28(22). 6877–6888. 37 indexed citations
9.
Seo, Eun Joo, Furong Liu, Makiko Kawagishi-Kobayashi, et al.. (2008). Protein kinase PKR mutants resistant to the poxvirus pseudosubstrate K3L protein. Proceedings of the National Academy of Sciences. 105(44). 16894–16899. 31 indexed citations
10.
Dey, Madhusudan, Chune Cao, Frank Sicheri, & Thomas Dever. (2007). Conserved Intermolecular Salt Bridge Required for Activation of Protein Kinases PKR, GCN2, and PERK. Journal of Biological Chemistry. 282(9). 6653–6660. 50 indexed citations
11.
Dey, Madhusudan, Chune Cao, Arvin C. Dar, et al.. (2005). Mechanistic Link between PKR Dimerization, Autophosphorylation, and eIF2α Substrate Recognition. Cell. 122(6). 901–913. 289 indexed citations
12.
Dey, Madhusudan, Emily Locke, Jing‐Fang Lu, et al.. (2005). PKR and GCN2 Kinases and Guanine Nucleotide Exchange Factor Eukaryotic Translation Initiation Factor 2B (eIF2B) Recognize Overlapping Surfaces on eIF2α. Molecular and Cellular Biology. 25(8). 3063–3075. 62 indexed citations
13.
Roll‐Mecak, Antonina, et al.. (2004). X-ray Structure of Translation Initiation Factor eIF2γ. Journal of Biological Chemistry. 279(11). 10634–10642. 64 indexed citations
14.
Lee, Joon‐Hyung, Tatyana V. Pestova, Byung‐Sik Shin, et al.. (2002). Initiation factor eIF5B catalyzes second GTP-dependent step in eukaryotic translation initiation. Proceedings of the National Academy of Sciences. 99(26). 16689–16694. 88 indexed citations
15.
Roll‐Mecak, Antonina, Chune Cao, Thomas Dever, & S.K. Burley. (2000). X-Ray Structures of the Universal Translation Initiation Factor IF2/eIF5B. Cell. 103(5). 781–792. 188 indexed citations
16.
Kawagishi-Kobayashi, Makiko, Chune Cao, Jianming Lü, Keiko Ozato, & Thomas Dever. (2000). Pseudosubstrate Inhibition of Protein Kinase PKR by Swine Pox Virus C8L Gene Product. Virology. 276(2). 424–434. 42 indexed citations
17.
Mukherjee, Amit, Chune Cao, & Joe Lutkenhaus. (1998). Inhibition of FtsZ polymerization by SulA, an inhibitor of septation in Escherichia coli. Proceedings of the National Academy of Sciences. 95(6). 2885–2890. 202 indexed citations
18.
Addinall, Stephen G., Chune Cao, & Joe Lutkenhaus. (1997). FtsN, a late recruit to the septum in Escherichia coli. Molecular Microbiology. 25(2). 303–309. 143 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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