Zhongping Dai

538 total citations
10 papers, 448 citations indexed

About

Zhongping Dai is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Zhongping Dai has authored 10 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Cancer Research. Recurrent topics in Zhongping Dai's work include Hippo pathway signaling and YAP/TAZ (2 papers), Cystic Fibrosis Research Advances (2 papers) and Cellular transport and secretion (2 papers). Zhongping Dai is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (2 papers), Cystic Fibrosis Research Advances (2 papers) and Cellular transport and secretion (2 papers). Zhongping Dai collaborates with scholars based in United States and China. Zhongping Dai's co-authors include Zimei Bu, Jianquan Li, David J.E. Callaway, Hua Xiang, Hong Cheng, Xiaodong Ma, Yong Li, Luis J. Sigal, Min Fang and Saibyasachi N. Choudhury and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Zhongping Dai

9 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongping Dai United States 8 276 108 90 78 52 10 448
Martha Delahunty United States 12 353 1.3× 68 0.6× 34 0.4× 116 1.5× 79 1.5× 19 663
Paola Luzzi Italy 7 221 0.8× 121 1.1× 50 0.6× 59 0.8× 53 1.0× 7 396
Zhengke Li United States 15 457 1.7× 47 0.4× 122 1.4× 98 1.3× 57 1.1× 23 636
Evangelos Mavrommatis United States 6 432 1.6× 158 1.5× 41 0.5× 98 1.3× 25 0.5× 12 598
Craig Eyster United States 13 555 2.0× 231 2.1× 71 0.8× 109 1.4× 22 0.4× 21 766
Nayantara Kothari United States 8 476 1.7× 67 0.6× 107 1.2× 81 1.0× 25 0.5× 10 648
Louise Boyer-Châtenet France 9 483 1.8× 54 0.5× 96 1.1× 37 0.5× 54 1.0× 12 685
Chiara Vardabasso United States 9 740 2.7× 44 0.4× 120 1.3× 83 1.1× 71 1.4× 12 873
Jessica J. McCormack United Kingdom 13 185 0.7× 138 1.3× 17 0.2× 127 1.6× 41 0.8× 17 534

Countries citing papers authored by Zhongping Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhongping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongping Dai

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

All Works

10 of 10 papers shown
1.
Dai, Zhongping, et al.. (2025). DHS-PE: A more suitable positional encoding for directed hypergraphs. Neurocomputing. 654. 131312–131312.
2.
Xiang, Hua, Lu Ge, Émmanuelle Nicolas, et al.. (2018). Functional Conservation of a Developmental Switch in Mammals since the Jurassic Age. Molecular Biology and Evolution. 36(1). 39–53. 3 indexed citations
3.
Ma, Xiaodong, Daniel J. Conklin, Fenge Li, et al.. (2015). The oncogenic microRNA miR-21 promotes regulated necrosis in mice. Nature Communications. 6(1). 7151–7151. 83 indexed citations
4.
Lee, Hyung‐Ok, Xiao He, Zhongping Dai, et al.. (2015). Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas. Proceedings of the National Academy of Sciences. 112(25). 7773–7778. 18 indexed citations
5.
Ma, Xiaodong, Saibyasachi N. Choudhury, Hua Xiang, Zhongping Dai, & Yong Li. (2013). Interaction of the oncogenic miR-21 microRNA and the p53 tumor suppressor pathway. Carcinogenesis. 34(6). 1216–1223. 65 indexed citations
6.
Bhattacharya, Shibani, Zhongping Dai, Jianquan Li, et al.. (2009). A Conformational Switch in the Scaffolding Protein NHERF1 Controls Autoinhibition and Complex Formation. Journal of Biological Chemistry. 285(13). 9981–9994. 47 indexed citations
7.
Cheng, Hong, et al.. (2009). Autoinhibitory Interactions between the PDZ2 and C-terminal Domains in the Scaffolding Protein NHERF1. Structure. 17(5). 660–669. 35 indexed citations
8.
Li, Jianquan, Poulikos I. Poulikakos, Zhongping Dai, et al.. (2007). Protein Kinase C Phosphorylation Disrupts Na+/H+ Exchanger Regulatory Factor 1 Autoinhibition and Promotes Cystic Fibrosis Transmembrane Conductance Regulator Macromolecular Assembly. Journal of Biological Chemistry. 282(37). 27086–27099. 60 indexed citations
9.
Fang, Min, Hong Cheng, Zhongping Dai, Zimei Bu, & Luis J. Sigal. (2005). Immunization with a single extracellular enveloped virus protein produced in bacteria provides partial protection from a lethal orthopoxvirus infection in a natural host. Virology. 345(1). 231–243. 65 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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