Ping Yu

4.1k total citations · 1 hit paper
93 papers, 2.6k citations indexed

About

Ping Yu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ping Yu has authored 93 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 33 papers in Plant Science and 32 papers in Genetics. Recurrent topics in Ping Yu's work include RNA and protein synthesis mechanisms (20 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and RNA modifications and cancer (16 papers). Ping Yu is often cited by papers focused on RNA and protein synthesis mechanisms (20 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and RNA modifications and cancer (16 papers). Ping Yu collaborates with scholars based in China, United States and France. Ping Yu's co-authors include Wei Li, Huanyu Xu, Sen Guo, Liyong Cao, Yun‐Xing Wang, Tao Cai, Weixun Wu, Shihua Cheng, Lianping Sun and Jinbu Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ping Yu

90 papers receiving 2.6k citations

Hit Papers

The circular RNA Cdr1as, via miR-7 and its targets, regul... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Yu China 30 1.9k 742 548 482 134 93 2.6k
Jun Yin China 23 1.3k 0.7× 248 0.3× 412 0.8× 418 0.9× 147 1.1× 79 2.0k
Wei Deng China 27 1.8k 0.9× 608 0.8× 327 0.6× 584 1.2× 90 0.7× 61 2.5k
Xianjun Dong United States 22 2.6k 1.4× 358 0.5× 464 0.8× 499 1.0× 81 0.6× 41 3.0k
Fabian Grubert United States 18 2.3k 1.2× 519 0.7× 821 1.5× 448 0.9× 53 0.4× 20 2.8k
Peggy S. Eis United States 19 2.4k 1.3× 436 0.6× 1.1k 2.0× 984 2.0× 156 1.2× 33 3.5k
Falk Butter Germany 29 2.5k 1.3× 382 0.5× 288 0.5× 291 0.6× 130 1.0× 112 3.2k
Yvonne J. K. Edwards United States 26 1.7k 0.9× 288 0.4× 566 1.0× 206 0.4× 108 0.8× 67 2.5k
Lee Edsall United States 12 4.8k 2.6× 470 0.6× 1.2k 2.3× 532 1.1× 141 1.1× 19 5.4k
Sally H. Cross United Kingdom 26 2.3k 1.2× 451 0.6× 844 1.5× 128 0.3× 110 0.8× 49 3.0k
Nicole J. Francis United States 25 4.1k 2.1× 670 0.9× 494 0.9× 259 0.5× 169 1.3× 54 4.8k

Countries citing papers authored by Ping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yu. A scholar is included among the top collaborators of Ping Yu 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 Ping Yu. Ping Yu 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
2.
Bhandari, Yuba R., Ping Yu, William F. Heinz, et al.. (2024). Determining structures of RNA conformers using AFM and deep neural networks. Nature. 637(8048). 1234–1243. 12 indexed citations
3.
Lee, Hyun Kyung, Lixin Fan, Chelsie E. Conrad, et al.. (2023). Crystal structure of Escherichia coli thiamine pyrophosphate-sensing riboswitch in the apo state. Structure. 31(7). 848–859.e3. 6 indexed citations
4.
Bhandari, Yuba R., Charles D. Schwieters, Lixin Fan, et al.. (2023). Visualizing RNA conformational and architectural heterogeneity in solution. Nature Communications. 14(1). 714–714. 38 indexed citations
5.
Hu, Xia, Ping Yu, Yingxin Zhang, et al.. (2023). Mutation ofDEFECTIVE EMBRYO SAC1results in a low seed-setting rate in rice by regulating embryo sac development. Journal of Experimental Botany. 74(5). 1501–1516. 8 indexed citations
6.
Sun, Hao, et al.. (2021). Protein folding mechanism revealed by single-molecule force spectroscopy experiments. Biophysics Reports. 7(5). 399–412. 8 indexed citations
7.
Sun, Lianping, Ping Yu, Zhengfu Yang, et al.. (2020). The MYB transcription factor Baymax1 plays a critical role in rice male fertility. Theoretical and Applied Genetics. 134(2). 453–471. 32 indexed citations
8.
Yang, Zhengfu, Ling Liu, Lianping Sun, et al.. (2019). OsMS1 functions as a transcriptional activator to regulate programmed tapetum development and pollen exine formation in rice. Plant Molecular Biology. 99(1-2). 175–191. 65 indexed citations
9.
Yang, Zhengfu, Lianping Sun, Peipei Zhang, et al.. (2019). TDR INTERACTING PROTEIN 3, encoding a PHD‐finger transcription factor, regulates Ubisch bodies and pollen wall formation in rice. The Plant Journal. 99(5). 844–861. 53 indexed citations
10.
Zhang, Yingxin, Zhenzhen Bi, Qunen Liu, et al.. (2019). Impaired Function of the Calcium-Dependent Protein Kinase, OsCPK12, Leads to Early Senescence in Rice (Oryza sativa L.). Frontiers in Plant Science. 10. 52–52. 30 indexed citations
11.
Hong, Yongbo, Yingxin Zhang, Ning Yu, et al.. (2018). Premature leaf senescence 3, encoding a methyltransferase, is required for melatonin biosynthesis in rice. The Plant Journal. 95(5). 877–891. 52 indexed citations
12.
Liu, Yu, Erik D. Holmstrom, Ping Yu, et al.. (2018). Incorporation of isotopic, fluorescent, and heavy-atom-modified nucleotides into RNAs by position-selective labeling of RNA. Nature Protocols. 13(5). 987–1005. 34 indexed citations
13.
Yang, Zhengfu, Yingxin Zhang, Lianping Sun, et al.. (2018). Identification of cyp703a3-3 and analysis of regulatory role of CYP703A3 in rice anther cuticle and pollen exine development. Gene. 649. 63–73. 22 indexed citations
14.
Wu, Weixun, Xiaoming Zheng, Daibo Chen, et al.. (2017). OsCOL16 , encoding a CONSTANS-like protein, represses flowering by up-regulating Ghd7 expression in rice. Plant Science. 260. 60–69. 59 indexed citations
15.
Yu, Ping, Xiaoping Yuan, Qun Xu, et al.. (2016). SEQUENCE VARIATIONS AND HAPLOTYPES OF THE BACTERIAL BLIGHT RESISTANCE GENE xa13 IN RICE. Journal of Plant Pathology. 98(1). 167–170. 1 indexed citations
16.
Yu, Ping, Wenli Yang, Dong Han, et al.. (2016). Mutations in WNT10B Are Identified in Individuals with Oligodontia. The American Journal of Human Genetics. 99(1). 195–201. 74 indexed citations
17.
18.
Yu, Ping, et al.. (2014). Pro-angiogenic efficacy of transplanting endothelial progenitor cells for treating hindlimb ischemia in hyperglycemic rabbits. Journal of Diabetes and its Complications. 29(1). 13–19. 10 indexed citations
19.
Yu, Ping, et al.. (2011). Discharges of Neuronal Assembly of Hippocampus CA1 Area in the Memory Formation. Acta Psychologica Sinica. 43(8). 917–928.
20.
Yu, Ping, et al.. (2009). SSR Analysis on japonica Rice Landraces from the Taihu Lake Region,China. Zhongguo shuidao kexue. 23(2). 148–152. 1 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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