Jingdong Cheng

5.9k total citations · 1 hit paper
50 papers, 3.3k citations indexed

About

Jingdong Cheng is a scholar working on Molecular Biology, Infectious Diseases and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jingdong Cheng has authored 50 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jingdong Cheng's work include RNA modifications and cancer (34 papers), RNA and protein synthesis mechanisms (32 papers) and RNA Research and Splicing (24 papers). Jingdong Cheng is often cited by papers focused on RNA modifications and cancer (34 papers), RNA and protein synthesis mechanisms (32 papers) and RNA Research and Splicing (24 papers). Jingdong Cheng collaborates with scholars based in Germany, China and United States. Jingdong Cheng's co-authors include Roland Beckmann, Otto Berninghausen, Thomas Becker, Ed Hurt, Robert Buschauer, Matthias Thoms, Yanhui Xu, Ping Wang, Michael Ameismeier and Petr Těšina and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jingdong Cheng

48 papers receiving 3.3k citations

Hit Papers

Structural basis for translational shutdown and immune ev... 2020 2026 2022 2024 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2
    2020 549 citations Matthias Thoms, Robert Buschauer et al. Science profile →

Peers

Jingdong Cheng
Yi Shi United States
Sichen Shao United States
C. Dingwall United Kingdom
Maureen A. Powers United States
Nobuyoshi Akimitsu Japan
Erik Verschueren United States
Christopher N. Larsen United States
Huasong Lu China
Matthias Thoms Germany
Beatriz M. A. Fontoura United States
Yi Shi United States
Jingdong Cheng
Citations per year, relative to Jingdong Cheng Jingdong Cheng (= 1×) peers Yi Shi

Countries citing papers authored by Jingdong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jingdong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingdong Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jingdong Cheng. A scholar is included among the top collaborators of Jingdong Cheng 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 Jingdong Cheng. Jingdong Cheng 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.
Diehl, Frances F., Mengjiao Wang, Yi Li, et al.. (2025). RIOK3 mediates the degradation of 40S ribosomes. Molecular Cell. 85(4). 802–814.e12. 7 indexed citations
2.
Saba, James A., Xianwen Ye, Yi Li, et al.. (2024). LARP1 binds ribosomes and TOP mRNAs in repressed complexes. The EMBO Journal. 43(24). 6555–6572. 10 indexed citations
3.
Li, Xiang, Mengjiao Wang, Timo Denk, et al.. (2024). Structural basis for differential inhibition of eukaryotic ribosomes by tigecycline. Nature Communications. 15(1). 5481–5481. 7 indexed citations
4.
Hurt, Ed, et al.. (2023). SnapShot: Eukaryotic ribosome biogenesis I. Cell. 186(10). 2282–2282.e1. 8 indexed citations
5.
Ikeuchi, Ken, Robert Buschauer, Jingdong Cheng, et al.. (2023). Molecular basis for recognition and deubiquitination of 40S ribosomes by Otu2. Nature Communications. 14(1). 2730–2730. 11 indexed citations
6.
Thoms, Matthias, Benjamin H.S. Lau, Jingdong Cheng, et al.. (2023). Structural insights into coordinating 5S RNP rotation with ITS2 pre‐ RNA processing during ribosome formation. EMBO Reports. 24(12). e57984–e57984. 6 indexed citations
7.
Lau, Benjamin H.S., Nikola Kellner, Otto Berninghausen, et al.. (2023). Mechanism of 5S RNP recruitment and helicase‐surveilled rRNA maturation during pre‐60S biogenesis. EMBO Reports. 24(7). e56910–e56910. 11 indexed citations
8.
Cheng, Jingdong, Benjamin H.S. Lau, Matthias Thoms, et al.. (2022). The nucleoplasmic phase of pre-40S formation prior to nuclear export. Nucleic Acids Research. 50(20). 11924–11937. 14 indexed citations
9.
Qiao, Shuai, Chia‐Wei Lee, Dawafuti Sherpa, et al.. (2022). Cryo-EM structures of Gid12-bound GID E3 reveal steric blockade as a mechanism inhibiting substrate ubiquitylation. Nature Communications. 13(1). 3041–3041. 11 indexed citations
10.
Huang, Bin, Qiang Guo, Jingdong Cheng, et al.. (2021). Pathological polyQ expansion does not alter the conformation of the Huntingtin-HAP40 complex. Structure. 29(8). 804–809.e5. 14 indexed citations
11.
Su, Ting, Renuka Kudva, Thomas Becker, et al.. (2021). Structural basis of l-tryptophan-dependent inhibition of release factor 2 by the TnaC arrest peptide. Nucleic Acids Research. 49(16). 9539–9547. 10 indexed citations
12.
Cheng, Jingdong, Otto Berninghausen, & Roland Beckmann. (2021). A distinct assembly pathway of the human 39S late pre-mitoribosome. Nature Communications. 12(1). 4544–4544. 40 indexed citations
13.
Matsuo, Yoshitaka, Petr Těšina, Akinori Endo, et al.. (2020). RQT complex dissociates ribosomes collided on endogenous RQC substrate SDD1. Nature Structural & Molecular Biology. 27(4). 323–332. 105 indexed citations
14.
Cheng, Jingdong, Benjamin H.S. Lau, Michael Ameismeier, et al.. (2020). 90 S pre-ribosome transformation into the primordial 40 S subunit. Science. 369(6510). 1470–1476. 57 indexed citations
15.
Kratzat, Hanna, Timur Mackens‐Kiani, Michael Ameismeier, et al.. (2020). A structural inventory of native ribosomal ABCE1‐43S pre‐initiation complexes. The EMBO Journal. 40(1). e105179–e105179. 39 indexed citations
16.
Buschauer, Robert, Yoshitaka Matsuo, Takato Sugiyama, et al.. (2020). The Ccr4-Not complex monitors the translating ribosome for codon optimality. Science. 368(6488). 171 indexed citations
17.
Thoms, Matthias, Robert Buschauer, Michael Ameismeier, et al.. (2020). Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2. Science. 369(6508). 1249–1255. 549 indexed citations breakdown →
18.
Těšina, Petr, Jingdong Cheng, Micheline Fromont‐Racine, et al.. (2019). Structure of the 80S ribosome–Xrn1 nuclease complex. Nature Structural & Molecular Biology. 26(4). 275–280. 60 indexed citations
19.
Ikeuchi, Ken, Petr Těšina, Yoshitaka Matsuo, et al.. (2019). Collided ribosomes form a unique structural interface to induce Hel2‐driven quality control pathways. The EMBO Journal. 38(5). 216 indexed citations
20.
Cheng, Jingdong, et al.. (2017). Interdependent action of KH domain proteins Krr1 and Dim2 drive the 40S platform assembly. Nature Communications. 8(1). 2213–2213. 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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