Shaoxing Dai

1.7k total citations
56 papers, 1.0k citations indexed

About

Shaoxing Dai is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Shaoxing Dai has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 8 papers in Physiology. Recurrent topics in Shaoxing Dai's work include Computational Drug Discovery Methods (8 papers), Alzheimer's disease research and treatments (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Shaoxing Dai is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Alzheimer's disease research and treatments (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Shaoxing Dai collaborates with scholars based in China, United States and Hong Kong. Shaoxing Dai's co-authors include Jing‐Fei Huang, Wenxing Li, Gong‐Hua Li, Jun‐Juan Zheng, Yicheng Guo, Yibei Zhu, Binfeng Lu, Elizabeth Chen, Aidi Zhang and Xueguang Zhang and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Shaoxing Dai

53 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaoxing Dai China 17 456 185 135 107 96 56 1.0k
Bryan K. Ward Australia 19 772 1.7× 187 1.0× 200 1.5× 48 0.4× 116 1.2× 36 1.2k
Chung‐Hsing Wang Taiwan 16 341 0.7× 142 0.8× 67 0.5× 63 0.6× 156 1.6× 56 837
Noor Ahmad Shaik Saudi Arabia 20 895 2.0× 202 1.1× 143 1.1× 58 0.5× 278 2.9× 109 1.7k
Renu Goel India 17 622 1.4× 79 0.4× 75 0.6× 49 0.5× 74 0.8× 38 1.1k
Carlos Alberto Vanegas Prieto Spain 20 865 1.9× 102 0.6× 66 0.5× 37 0.3× 106 1.1× 48 1.4k
Ritu Chakravarti United States 20 650 1.4× 220 1.2× 78 0.6× 32 0.3× 58 0.6× 44 1.2k
Rakhi Sharma India 16 528 1.2× 239 1.3× 80 0.6× 52 0.5× 101 1.1× 26 1.4k
Chan Yeong Kim South Korea 13 1.3k 2.9× 234 1.3× 146 1.1× 57 0.5× 145 1.5× 18 1.9k
Markus Hardt United States 20 547 1.2× 103 0.6× 103 0.8× 47 0.4× 50 0.5× 44 1.2k
Hirotake Kasai Japan 19 447 1.0× 360 1.9× 140 1.0× 56 0.5× 55 0.6× 44 1.3k

Countries citing papers authored by Shaoxing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shaoxing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoxing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoxing Dai. A scholar is included among the top collaborators of Shaoxing 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 Shaoxing Dai. Shaoxing Dai 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.
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Wang, Yichao, et al.. (2025). A novel Tc17 population recruited by tumor cells promotes tumor progression in gastric cancer. Frontiers in Oncology. 15. 1592328–1592328. 1 indexed citations
3.
Bai, Pengfei, Yanfang Liu, Shaoxing Dai, et al.. (2025). Integrated Transcriptomic and Metabolomic Analyses Reveal the Importance of the Terpenoid, Fatty Acid, and Flavonoid Pathways in Rice Cell Death and Defense. Plants. 14(5). 665–665. 1 indexed citations
4.
Ma, Lei, et al.. (2024). Research on prediction of human oral bioavailability of drugs based on improved deep forest. Journal of Molecular Graphics and Modelling. 133. 108851–108851. 3 indexed citations
5.
Lou, Zaixiang, et al.. (2024). Tsaokoflavanols A1–J1: Flavanol-fatty alcohol hybrids with HPL inhibitory activity from Amomum tsao-ko. Phytochemistry. 219. 113982–113982. 4 indexed citations
6.
Yao, Junjun, Shaoxing Dai, Ju Tan, et al.. (2023). Deciphering molecular heterogeneity and dynamics of human hippocampal neural stem cells at different ages and injury states. eLife. 12. 7 indexed citations
7.
Yang, Feng, et al.. (2023). Essential oil of lemon myrtle (Backhousia citriodora) induces S-phase cell cycle arrest and apoptosis in HepG2 cells. Journal of Ethnopharmacology. 312. 116493–116493. 10 indexed citations
8.
Kang, Yu, Shaoxing Dai, Fang Wang, et al.. (2022). Cloning and base editing of GFP transgenic rhesus monkey and off-target analysis. Science Advances. 8(29). eabo3123–eabo3123. 6 indexed citations
9.
Tong, Lei, Shaoxing Dai, Xin Tong, et al.. (2022). The genome of medicinal leech (Whitmania pigra) and comparative genomic study for exploration of bioactive ingredients. BMC Genomics. 23(1). 76–76. 11 indexed citations
10.
Wang, Fang, Weiqi Zhang, Qiaoyan Yang, et al.. (2020). Generation of a Hutchinson–Gilford progeria syndrome monkey model by base editing. Protein & Cell. 11(11). 809–824. 51 indexed citations
11.
Li, Wenxing, et al.. (2019). Gain and loss events in the evolution of the apolipoprotein family in vertebrata. BMC Evolutionary Biology. 19(1). 209–209. 15 indexed citations
12.
Li, Huijuan, Dongsheng Zhou, Hong Chang, et al.. (2019). Interactome Analyses implicated CAMK2A in the genetic predisposition and pharmacological mechanism of Bipolar Disorder. Journal of Psychiatric Research. 115. 165–175. 9 indexed citations
13.
14.
Dai, Shaoxing, Jun‐Juan Zheng, Yicheng Guo, et al.. (2017). The identification and molecular mechanism of anti-stroke traditional Chinese medicinal compounds. Scientific Reports. 7(1). 41406–41406. 13 indexed citations
15.
Dai, Shaoxing, Wenxing Li, Feifei Han, et al.. (2016). In silico identification of anti-cancer compounds and plants from traditional Chinese medicine database. Scientific Reports. 6(1). 25462–25462. 58 indexed citations
16.
Han, Feifei, Gong‐Hua Li, Shaoxing Dai, & Jing‐Fei Huang. (2015). Genome-wide metabolic model to improve understanding of CD4+ T cell metabolism, immunometabolism and application in drug design. Molecular BioSystems. 12(2). 431–443. 12 indexed citations
17.
18.
Dai, Shaoxing, Gong‐Hua Li, Yue‐Dong Gao, & Jing‐Fei Huang. (2015). Pharmacophore‐Map‐Pick: A Method to Generate Pharmacophore Models for All Human GPCRs. Molecular Informatics. 35(2). 81–91. 5 indexed citations
19.
Zhu, Yibei, Songguang Ju, Elizabeth Chen, et al.. (2010). T-bet and Eomesodermin are required for adaptive immunity against cancer (101.27). The Journal of Immunology. 184(Supplement_1). 101.27–101.27. 1 indexed citations
20.
Ju, Songguang, Yibei Zhu, Lin Liu, et al.. (2009). Gadd45b and Gadd45g are important for anti‐tumor immune responses. European Journal of Immunology. 39(11). 3010–3018. 54 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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