Congting Ye

1.2k total citations
43 papers, 768 citations indexed

About

Congting Ye is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Congting Ye has authored 43 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Plant Science and 6 papers in Ecology. Recurrent topics in Congting Ye's work include RNA Research and Splicing (21 papers), RNA modifications and cancer (16 papers) and Plant Molecular Biology Research (12 papers). Congting Ye is often cited by papers focused on RNA Research and Splicing (21 papers), RNA modifications and cancer (16 papers) and Plant Molecular Biology Research (12 papers). Congting Ye collaborates with scholars based in China, United States and Canada. Congting Ye's co-authors include Qingshun Quinn Li, Xiaohui Wu, Guoli Ji, Guoli Ji, Jiahuai Han, Hanjie Li, Chun Liang, Wenbin Ye, Juncheng Lin and Guoli Ji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Congting Ye

43 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Congting Ye China	19	530	273	110	79	61	43	768
Yonggui Fu China	17	767 1.4×	79 0.3×	185 1.7×	188 2.4×	27 0.4×	49	1.1k
Douglas R. Hoen Canada	11	420 0.8×	447 1.6×	84 0.8×	65 0.8×	17 0.3×	14	775
Eddo Kim Israel	10	1.1k 2.0×	148 0.5×	52 0.5×	123 1.6×	17 0.3×	10	1.2k
Juan L. Trincado Spain	7	499 0.9×	107 0.4×	44 0.4×	143 1.8×	14 0.2×	10	602
Krzysztof Brzezinka Germany	11	656 1.2×	656 2.4×	18 0.2×	54 0.7×	23 0.4×	11	1.0k
Cheng Ran Lisa Huang United States	10	947 1.8×	642 2.4×	66 0.6×	156 2.0×	17 0.3×	11	1.1k
Jürgen Otte Germany	18	329 0.6×	378 1.4×	28 0.3×	47 0.6×	69 1.1×	26	930
Chongjian Chen China	17	739 1.4×	214 0.8×	44 0.4×	206 2.6×	16 0.3×	31	1.0k
James Olesen United States	8	631 1.2×	151 0.6×	65 0.6×	53 0.7×	10 0.2×	10	822
Michael S. Kuehn United States	5	874 1.6×	203 0.7×	59 0.5×	117 1.5×	38 0.6×	5	1.1k

Countries citing papers authored by Congting Ye

Since Specialization

Citations

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

Fields of papers citing papers by Congting Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congting Ye

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Sheng, et al.. (2025). Functional inhibition of core spliceosomal machinery activates intronic premature cleavage and polyadenylation of pre-mRNAs. Cell Reports. 44(3). 115376–115376. 3 indexed citations

Ye, Congting, et al.. (2025). FLL2 modulates Arabidopsis development and stress tolerance via polyadenylation and CPSF73 interaction. iScience. 28(6). 112579–112579. 1 indexed citations

Xiang, Andy Peng, et al.. (2024). U4 snRNP inhibits premature cleavage and polyadenylation of pre-mRNAs. Proceedings of the National Academy of Sciences. 121(27). e2406710121–e2406710121. 5 indexed citations

Qiao, Hongmei, Xiaoxuan Zhou, Xiuming Xu, et al.. (2024). Molecular mechanism of vivipary as revealed by the genomes of viviparous mangroves and non-viviparous relatives. Current Biology. 34(16). 3707–3721.e7. 6 indexed citations

Deng, Yanhui, et al.. (2023). The U1 antisense morpholino oligonucleotide (AMO) disrupts U1 snRNP structure to promote intronic PCPA modification of pre-mRNAs. Journal of Biological Chemistry. 299(7). 104854–104854. 6 indexed citations

Su, Wenyue, et al.. (2023). Uninterrupted embryonic growth leading to viviparous propagule formation in woody mangrove. Frontiers in Plant Science. 13. 1061747–1061747. 6 indexed citations

Zhang, Lidan, Danhui Zhao, Jia‐wen Zhou, et al.. (2023). Inhibitor AN3661 reveals biological functions of Arabidopsis CLEAVAGE and POLYADENYLATION SPECIFICITY FACTOR 73. PLANT PHYSIOLOGY. 193(1). 537–554. 3 indexed citations

Ye, Wenbin, et al.. (2022). A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-Seq, and Single-Cell RNA-Seq. Genomics Proteomics & Bioinformatics. 21(1). 67–83. 12 indexed citations

Lin, Juncheng, Huawei Xu, Junyu Chen, et al.. (2021). Intragenic heterochromatin‐mediated alternative polyadenylation modulates miRNA and pollen development in rice. New Phytologist. 232(2). 835–852. 20 indexed citations

10.

Zhong, Yifan, Congting Ye, Pingping Liang, et al.. (2021). Multi-omics analyses on Kandelia obovata reveal its response to transplanting and genetic differentiation among populations. BMC Plant Biology. 21(1). 341–341. 8 indexed citations

11.

Lin, Juncheng, Congting Ye, & Qingshun Quinn Li. (2021). QPAT-seq, a rapid and deduplicatable method for quantification of poly(A) site usages. Methods in enzymology on CD-ROM/Methods in enzymology. 655. 73–83. 3 indexed citations

12.

Lin, Juncheng, et al.. (2020). HDA6-dependent histone deacetylation regulates mRNA polyadenylation in Arabidopsis. Genome Research. 30(10). 1407–1417. 24 indexed citations

13.

Ye, Congting, Juncheng Lin, & Qingshun Quinn Li. (2020). Discovery of alternative polyadenylation dynamics from single cell types. Computational and Structural Biotechnology Journal. 18. 1012–1019. 8 indexed citations

14.

Zhu, Sheng Zu, et al.. (2019). Modeling of Genome-Wide Polyadenylation Signals in Xenopus tropicalis. Frontiers in Genetics. 10. 647–647. 4 indexed citations

15.

Su, Wenyue, et al.. (2019). Identification of putative key genes for coastal environments and cold adaptation in mangrove Kandelia obovata through transcriptome analysis. The Science of The Total Environment. 681. 191–201. 39 indexed citations

16.

Guo, Cheng, et al.. (2017). Genome-Wide Comparative Analysis of Miniature Inverted Repeat Transposable Elements in 19 Arabidopsis thaliana Ecotype Accessions. Scientific Reports. 7(1). 2634–2634. 19 indexed citations

17.

Ye, Congting, Guoli Ji, & Chun Liang. (2016). detectMITE: A novel approach to detect miniature inverted repeat transposable elements in genomes. Scientific Reports. 6(1). 19688–19688. 36 indexed citations

18.

Li, Lei, et al.. (2015). PlantOrDB: a genome-wide ortholog database for land plants and green algae. BMC Plant Biology. 15(1). 161–161. 12 indexed citations

19.

Yang, Zi, et al.. (2013). LemK_MSA: A Multiple Sequence Alignment Method with Sequence Vectorization Based on Lempel-Ziv. Applied Mechanics and Materials. 284-287. 3203–3207. 1 indexed citations

20.

Li, Hanjie, Congting Ye, Guoli Ji, & Jiahuai Han. (2012). Determinants of public T cell responses. Cell Research. 22(1). 33–42. 91 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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