De‐Li Shi

3.5k total citations
92 papers, 2.7k citations indexed

About

De‐Li Shi is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, De‐Li Shi has authored 92 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 18 papers in Cell Biology and 16 papers in Genetics. Recurrent topics in De‐Li Shi's work include Developmental Biology and Gene Regulation (31 papers), Wnt/β-catenin signaling in development and cancer (26 papers) and RNA Research and Splicing (20 papers). De‐Li Shi is often cited by papers focused on Developmental Biology and Gene Regulation (31 papers), Wnt/β-catenin signaling in development and cancer (26 papers) and RNA Research and Splicing (20 papers). De‐Li Shi collaborates with scholars based in France, China and United States. De‐Li Shi's co-authors include Jean‐Claude Boucaut, Jie Zheng, Muriel Umbhauer, Ho‐Jin Lee, Alexandre Djiane, Clémence Carron, Jean‐François Riou, Dianqing Wu, Raphaëlle Grifone and Ming Shao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

De‐Li Shi

88 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De‐Li Shi France 29 2.2k 622 368 286 203 92 2.7k
Juan Larraı́n Chile 31 2.2k 1.0× 902 1.5× 424 1.2× 371 1.3× 231 1.1× 71 3.2k
Ken W.Y. Cho United States 27 2.6k 1.2× 391 0.6× 532 1.4× 166 0.6× 198 1.0× 50 3.0k
Paul Scherz United States 11 2.0k 0.9× 466 0.7× 602 1.6× 343 1.2× 192 0.9× 36 2.6k
Heinz‐Georg Belting Switzerland 33 2.4k 1.1× 1.6k 2.6× 336 0.9× 326 1.1× 248 1.2× 53 3.4k
Ken W. Y. Cho United States 24 2.1k 0.9× 314 0.5× 382 1.0× 172 0.6× 129 0.6× 27 2.3k
Joaquín Rodríguez‐León Spain 26 2.4k 1.1× 385 0.6× 533 1.4× 123 0.4× 161 0.8× 44 3.0k
Ira L. Blitz United States 29 2.3k 1.0× 337 0.5× 500 1.4× 163 0.6× 192 0.9× 47 2.7k
Sei Kuriyama Japan 25 1.8k 0.8× 1.1k 1.7× 273 0.7× 342 1.2× 292 1.4× 51 2.7k
Ela W. Knapik United States 28 1.7k 0.8× 970 1.6× 763 2.1× 166 0.6× 249 1.2× 45 2.6k
Jon D. Larson United States 16 1.5k 0.7× 790 1.3× 324 0.9× 133 0.5× 220 1.1× 29 2.0k

Countries citing papers authored by De‐Li Shi

Since Specialization
Citations

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

Fields of papers citing papers by De‐Li Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De‐Li Shi. 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 De‐Li Shi. The network helps show where De‐Li Shi may publish in the future.

Co-authorship network of co-authors of De‐Li Shi

This figure shows the co-authorship network connecting the top 25 collaborators of De‐Li Shi. A scholar is included among the top collaborators of De‐Li Shi 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 De‐Li Shi. De‐Li Shi 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.
Lu, Tong, Pengcheng Ma, Aijun Chen, et al.. (2025). Prkra dimer senses double-stranded RNAs to dictate global translation efficiency. Molecular Cell. 85(10). 2032–2047.e9. 2 indexed citations
2.
Shi, De‐Li, Xuan Zhao, Chengtian Zhao, & Ming Shao. (2025). Controllable targeted protein degradation as a promising tool for discovery of novel cellular and developmental mechanisms. Developmental Biology. 528. 163–173.
3.
Shi, De‐Li. (2024). Interplay of RNA-binding proteins controls germ cell development in zebrafish. Journal of genetics and genomics. 51(9). 889–899. 3 indexed citations
4.
Shi, De‐Li, Raphaëlle Grifone, Xiangmin Zhang, & Hongyan Li. (2024). Rbm24-mediated post-transcriptional regulation of skeletal and cardiac muscle development, function and regeneration. Journal of Muscle Research and Cell Motility. 46(1). 53–65. 1 indexed citations
5.
Shi, De‐Li. (2024). Canonical and Non-Canonical Wnt Signaling Generates Molecular and Cellular Asymmetries to Establish Embryonic Axes. Journal of Developmental Biology. 12(3). 20–20. 9 indexed citations
6.
Xu, Hao, Shuyun Cai, Xiaodong Yuan, et al.. (2023). IGF2BP3 promotes adult myocardial regeneration by stabilizing MMP3 mRNA through interaction with m6A modification. Cell Death Discovery. 9(1). 164–164. 16 indexed citations
7.
Zhang, Chong, Imran Tarique, Aijun Chen, et al.. (2021). Rapid generation of maternal mutants via oocyte transgenic expression of CRISPR-Cas9 and sgRNAs in zebrafish. Science Advances. 7(32). 17 indexed citations
8.
9.
Shao, Ming, et al.. (2017). Transplantation of Zebrafish Cells by Conventional Pneumatic Microinjector. Zebrafish. 15(1). 73–76. 6 indexed citations
10.
Grifone, Raphaëlle, et al.. (2014). The RNA-binding protein Rbm24 is transiently expressed in myoblasts and is required for myogenic differentiation during vertebrate development. Mechanisms of Development. 134. 1–15. 38 indexed citations
11.
Cao, Jianmeng, et al.. (2012). High mobility group B proteins regulate mesoderm formation and dorsoventral patterning during zebrafish and Xenopus early development. Mechanisms of Development. 129(9-12). 263–274. 13 indexed citations
12.
Li, Hongyan, et al.. (2010). The RNA-binding protein Seb4/RBM24 is a direct target of MyoD and is required for myogenesis during Xenopus early development. Mechanisms of Development. 127(5-6). 281–291. 36 indexed citations
13.
Havis, Emmanuelle, Sébastien Le Mével, Ghislaine Morvan-Dubois, et al.. (2006). Unliganded thyroid hormone receptor is essential for Xenopus laevis eye development. The EMBO Journal. 25(20). 4943–4951. 59 indexed citations
14.
Li, Hongyan, et al.. (2005). FGF8, Wnt8 and Myf5 are target genes of Tbx6 during anteroposterior specification in Xenopus embryo. Developmental Biology. 290(2). 470–481. 34 indexed citations
15.
Carron, Clémence, et al.. (2005). Antagonistic interaction between IGF and Wnt/JNK signaling in convergent extension in Xenopus embryo. Mechanisms of Development. 122(11). 1234–1247. 24 indexed citations
16.
Shi, De‐Li, et al.. (2002). Zygotic Wnt/β-Catenin Signaling Preferentially Regulates the Expression of Myf5 Gene in the Mesoderm of Xenopus. Developmental Biology. 245(1). 124–135. 36 indexed citations
17.
Shi, De‐Li, et al.. (1998). Expression of Xfz3, a Xenopus frizzled family member, is restricted to the early nervous system. Mechanisms of Development. 70(1-2). 35–47. 61 indexed citations
18.
Boucaut, Jean‐Claude, et al.. (1998). Identification and developmental expression of cyclin-dependent kinase 4 gene in Xenopus laevis. Mechanisms of Development. 70(1-2). 197–200. 2 indexed citations
19.
Shi, De‐Li, et al.. (1994). Expression of Fibroblast Growth Factor Receptor-2 Splice Variants is Developmentally and Tissue-Specifically Regulated in the Amphibian Embryo. Developmental Biology. 164(1). 173–182. 34 indexed citations
20.
Riou, Jean‐François, De‐Li Shi, Thierry Darribère, Jean‐Claude Boucaut, & Jacques Charlemagne. (1987). Expression of Three Gastrula Cell Surface Glycoproteins during Embryonic and Larval Development in the Amphibian Pleurodeles waltlii. Development Growth & Differentiation. 29(5). 443–454. 2 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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