Keqiong Ye

4.9k total citations · 2 hit papers
71 papers, 3.7k citations indexed

About

Keqiong Ye is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Keqiong Ye has authored 71 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 9 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Keqiong Ye's work include RNA and protein synthesis mechanisms (37 papers), RNA modifications and cancer (34 papers) and RNA Research and Splicing (29 papers). Keqiong Ye is often cited by papers focused on RNA and protein synthesis mechanisms (37 papers), RNA modifications and cancer (34 papers) and RNA Research and Splicing (29 papers). Keqiong Ye collaborates with scholars based in China, United States and Germany. Keqiong Ye's co-authors include Dinshaw J. Patel, Jinbiao Ma, Jinzhong Lin, Lucy Malinina, Ling Li, Xing Zhu, Meng‐Qiu Dong, Liman Zhang, Jing Lu and Sanduo Zheng and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Keqiong Ye

71 papers receiving 3.6k citations

Hit Papers

Structural basis for over... 2004 2026 2011 2018 2004 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keqiong Ye China 30 2.9k 642 344 259 172 71 3.7k
Guillaume Charron Canada 27 1.9k 0.6× 388 0.6× 77 0.2× 150 0.6× 252 1.5× 47 2.9k
Benjamin Lang United States 13 2.3k 0.8× 241 0.4× 105 0.3× 152 0.6× 311 1.8× 24 2.8k
Dixie J. Goss United States 33 2.6k 0.9× 631 1.0× 56 0.2× 230 0.9× 223 1.3× 102 3.4k
Sylvie Kieffer France 24 1.7k 0.6× 208 0.3× 142 0.4× 366 1.4× 99 0.6× 31 2.8k
M.P. Coles Germany 29 2.6k 0.9× 190 0.3× 130 0.4× 225 0.9× 522 3.0× 66 3.3k
Christiane Branlant France 44 5.5k 1.9× 330 0.5× 413 1.2× 64 0.2× 586 3.4× 151 6.0k
Christopher M. West United States 33 2.0k 0.7× 274 0.4× 189 0.5× 95 0.4× 137 0.8× 124 2.9k
Edwin M. Southern United Kingdom 26 2.9k 1.0× 323 0.5× 154 0.4× 123 0.5× 560 3.3× 52 3.7k
Lucy Malinina United States 25 2.2k 0.7× 344 0.5× 126 0.4× 44 0.2× 216 1.3× 60 2.5k
Stanisław Dunin-Horkawicz Poland 26 2.7k 0.9× 161 0.3× 339 1.0× 44 0.2× 411 2.4× 59 3.0k

Countries citing papers authored by Keqiong Ye

Since Specialization
Citations

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

Fields of papers citing papers by Keqiong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keqiong Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Keqiong Ye. A scholar is included among the top collaborators of Keqiong Ye 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 Keqiong Ye. Keqiong Ye 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.
Yu, Hua, Jianxiu Zhang, F Zhang, et al.. (2024). A meiotic driver hijacks an epigenetic reader to disrupt mitosis in noncarrier offspring. Proceedings of the National Academy of Sciences. 121(45). e2408347121–e2408347121. 2 indexed citations
2.
Zhang, Jianxiu, Ming Yang, Jingyi Ren, et al.. (2024). Structural duality enables a single protein to act as a toxin–antidote pair for meiotic drive. Proceedings of the National Academy of Sciences. 121(45). e2408618121–e2408618121. 2 indexed citations
3.
Deng, Jie, Xianyang Fang, Lin Huang, et al.. (2023). RNA structure determination: From 2D to 3D. Fundamental Research. 3(5). 727–737. 14 indexed citations
4.
Tang, Yuliang, Zhou Gong, Rohit Jain, et al.. (2022). Characterization of protein unfolding by fast cross-linking mass spectrometry using di-ortho-phthalaldehyde cross-linkers. Nature Communications. 13(1). 39 indexed citations
6.
Zhang, Jianxiu, Xiao‐Man Liu, Yulu Li, et al.. (2021). Molecular and structural mechanisms of ZZ domain‐mediated cargo selection by Nbr1. The EMBO Journal. 40(15). e107497–e107497. 19 indexed citations
7.
Cao, Yong, Yuliang Tang, Jianhua Wang, et al.. (2019). Improving mass spectrometry analysis of protein structures with arginine-selective chemical cross-linkers. Nature Communications. 10(1). 3911–3911. 54 indexed citations
8.
Sun, Qi, Xing Zhu, Weidong An, et al.. (2017). Molecular architecture of the 90S small subunit pre-ribosome. eLife. 6. 121 indexed citations
9.
Zhu, Xing, et al.. (2017). Structure and RNA recognition of ribosome assembly factor Utp30. RNA. 23(12). 1936–1945. 2 indexed citations
10.
Zhang, Ning, Sanduo Zheng, Wenbo Zhang, et al.. (2016). Calmodulin in complex with the first IQ motif of myosin-5a functions as an intact calcium sensor. Proceedings of the National Academy of Sciences. 113(40). E5812–E5820. 29 indexed citations
11.
Zhang, Cheng, Qi Sun, Rongchang Chen, et al.. (2016). Integrative structural analysis of the UTPB complex, an early assembly factor for eukaryotic small ribosomal subunits. Nucleic Acids Research. 44(15). gkw562–gkw562. 13 indexed citations
12.
Zhang, Liman, Wu Chen, Gaihong Cai, She Chen, & Keqiong Ye. (2016). Stepwise and dynamic assembly of the earliest precursors of small ribosomal subunits in yeast. Genes & Development. 30(6). 718–732. 90 indexed citations
13.
Zhang, Cheng, Jinzhong Lin, Weixiao Liu, et al.. (2014). Structure of Utp21 Tandem WD Domain Provides Insight into the Organization of the UTPB Complex Involved in Ribosome Synthesis. PLoS ONE. 9(1). e86540–e86540. 22 indexed citations
14.
Zhu, Xing & Keqiong Ye. (2014). Cmr4 is the slicer in the RNA-targeting Cmr CRISPR complex. Nucleic Acids Research. 43(2). 1257–1267. 37 indexed citations
15.
Liu, Jinping, Shukun Luo, Hongchang Zhao, et al.. (2012). Structural mechanism of the phosphorylation-dependent dimerization of the MDC1 forkhead-associated domain. Nucleic Acids Research. 40(9). 3898–3912. 41 indexed citations
16.
Lin, Jinzhong, et al.. (2011). Structural basis for site-specific ribose methylation by box C/D RNA protein complexes. Nature. 469(7331). 559–563. 102 indexed citations
17.
Li, Ling & Keqiong Ye. (2006). Crystal structure of an H/ACA box ribonucleoprotein particle. Nature. 443(7109). 302–307. 176 indexed citations
18.
Ye, Keqiong & Dinshaw J. Patel. (2005). RNA Silencing Suppressor p21 of Beet Yellows Virus Forms an RNA Binding Octameric Ring Structure. Structure. 13(9). 1375–1384. 55 indexed citations
19.
Ye, Keqiong, Lucy Malinina, & Dinshaw J. Patel. (2003). Recognition of small interfering RNA by a viral suppressor of RNA silencing. Nature. 426(6968). 874–878. 335 indexed citations
20.
Qian, Chengmin, Yuanyuan Yao, Keqiong Ye, et al.. (2001). Effects of charged amino‐acid mutation on the solution structure of cytochrome b5 and binding between cytochrome b5 and cytochrome c. Protein Science. 10(12). 2451–2459. 12 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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