Shuai Dong

1.0k total citations
37 papers, 768 citations indexed

About

Shuai Dong is a scholar working on Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shuai Dong has authored 37 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 15 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shuai Dong's work include Invertebrate Immune Response Mechanisms (11 papers), Aquaculture disease management and microbiota (10 papers) and Immune Cell Function and Interaction (7 papers). Shuai Dong is often cited by papers focused on Invertebrate Immune Response Mechanisms (11 papers), Aquaculture disease management and microbiota (10 papers) and Immune Cell Function and Interaction (7 papers). Shuai Dong collaborates with scholars based in China, United States and United Kingdom. Shuai Dong's co-authors include Zhen Xu, Yongyao Yu, Zhenyu Huang, Weiguang Kong, Fen Dong, Xiaoting Zhang, Yong‐An Zhang, Qing Xia, Haoyue Xu and Jiafeng Cao and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Hepatology.

In The Last Decade

Shuai Dong

36 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuai Dong China 17 429 243 107 80 55 37 768
M. Reis Portugal 13 310 0.7× 248 1.0× 115 1.1× 41 0.5× 57 1.0× 20 628
Nicole C. Smith Canada 14 318 0.7× 272 1.1× 119 1.1× 168 2.1× 20 0.4× 22 735
Dongmei Zhu China 14 106 0.2× 234 1.0× 53 0.5× 99 1.2× 50 0.9× 26 507
Jing Wei China 15 187 0.4× 250 1.0× 62 0.6× 51 0.6× 20 0.4× 65 711
Young C. Shin United States 16 446 1.0× 328 1.3× 137 1.3× 92 1.1× 13 0.2× 32 1.2k
Xiaolin Liu China 17 93 0.2× 397 1.6× 54 0.5× 313 3.9× 20 0.4× 37 709
Takayuki Uematsu Japan 14 115 0.3× 259 1.1× 24 0.2× 93 1.2× 41 0.7× 31 649
Steven M. Swift United States 15 61 0.1× 507 2.1× 67 0.6× 62 0.8× 39 0.7× 25 859
Sergio Arancibia Chile 9 297 0.7× 109 0.4× 59 0.6× 29 0.4× 28 0.5× 12 480
James Fernandez United States 14 236 0.6× 812 3.3× 13 0.1× 88 1.1× 76 1.4× 24 1.3k

Countries citing papers authored by Shuai Dong

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Dong. A scholar is included among the top collaborators of Shuai Dong 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 Shuai Dong. Shuai Dong 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.
Wu, Yijun, Jiayang Wang, Shuai Dong, et al.. (2024). BRAF V600E /p-ERK/p-DRP1(Ser616) Promotes Tumor Progression and Reprogramming of Glucose Metabolism in Papillary Thyroid Cancer. Thyroid. 34(10). 1246–1259. 2 indexed citations
2.
Chen, Huaxin, et al.. (2023). Targeting Cyclin‐Dependent Kinase 1 Induces Apoptosis and Cell Cycle Arrest of Activated Hepatic Stellate Cells. Advanced Biology. 8(3). e2300403–e2300403. 1 indexed citations
3.
Dong, Shuai, Chang Liu, Yanli Li, et al.. (2023). Stage-specific requirement for m6A RNA methylation during cardiac differentiation of pluripotent stem cells. Differentiation. 133. 77–87. 4 indexed citations
4.
Liu, Xiao, Yan Xu, Lijie Pan, et al.. (2023). m6A-mediated gluconeogenic enzyme PCK1 upregulation protects against hepatic ischemia-reperfusion injury. Hepatology. 81(1). 94–110. 10 indexed citations
5.
Li, Yanli, Lijie Pan, Huaxin Chen, et al.. (2022). The m6A methyltransferase Mettl3 deficiency attenuates hepatic stellate cell activation and liver fibrosis. Molecular Therapy. 30(12). 3714–3728. 41 indexed citations
6.
Xu, Yan, Lijie Pan, Chang Liu, et al.. (2022). Mettl3-mediated mRNA m6A modification controls postnatal liver development by modulating the transcription factor Hnf4a. Nature Communications. 13(1). 4555–4555. 46 indexed citations
7.
Wang, Rui, Chaoxiang Ren, Shuai Dong, et al.. (2021). Integrated Metabolomics and Transcriptome Analysis of Flavonoid Biosynthesis in Safflower (Carthamus tinctorius L.) With Different Colors. Frontiers in Plant Science. 12. 712038–712038. 62 indexed citations
8.
Pan, Lijie, Chang Liu, Qiuli Liu, et al.. (2021). Human Wharton's jelly-derived mesenchymal stem cells alleviate concanavalin A-induced fulminant hepatitis by repressing NF-κB signaling and glycolysis. Stem Cell Research & Therapy. 12(1). 496–496. 21 indexed citations
9.
Liu, Qiuli, Xiaoyong Chen, Chang Liu, et al.. (2021). Mesenchymal stem cells alleviate experimental immune-mediated liver injury via chitinase 3-like protein 1-mediated T cell suppression. Cell Death and Disease. 12(3). 240–240. 26 indexed citations
10.
Yu, Yongyao, Weiguang Kong, Haoyue Xu, et al.. (2019). Convergent Evolution of Mucosal Immune Responses at the Buccal Cavity of Teleost Fish. iScience. 19. 821–835. 64 indexed citations
11.
Dong, Shuai, et al.. (2019). Indicators of multifocality in papillary thyroid carcinoma concurrent with Hashimoto's thyroiditis.. PubMed. 9(8). 1786–1795. 18 indexed citations
12.
13.
14.
Yu, Yongyao, Weiguang Kong, Fen Dong, et al.. (2018). Mucosal immunoglobulins protect the olfactory organ of teleost fish against parasitic infection. PLoS Pathogens. 14(11). e1007251–e1007251. 103 indexed citations
15.
Yu, Yongyao, Yangzhou Liu, Huili Li, et al.. (2017). Polymeric immunoglobulin receptor in dojo loach ( Misgurnus anguillicaudatus ): Molecular characterization and expression analysis in response to bacterial and parasitic challenge. Fish & Shellfish Immunology. 73. 175–184. 40 indexed citations
16.
Xu, Yongsheng, Yongyao Yu, Xiaoting Zhang, et al.. (2017). Molecular characterization and expression analysis of complement component 3 in dojo loach (Misgurnus anguillicaudatus). Fish & Shellfish Immunology. 72. 484–493. 25 indexed citations
17.
Dong, Shuai, Jiren Yu, Qin Zhang, & Xiaosun Liu. (2015). Neoadjuvant chemotherapy in controlling lymph node metastasis for locally advanced gastric cancer in a Chinese population. Journal of Chemotherapy. 28(1). 59–64. 13 indexed citations
18.
Xia, Qing, et al.. (2015). Effects of endocrine therapy on the prognosis of elderly patients after surgery for papillary thyroid carcinoma. European Archives of Oto-Rhino-Laryngology. 273(4). 1037–1043. 21 indexed citations
19.
Shi, Min, Shuai Dong, Mingtian Li, et al.. (2015). The Endoparasitoid, Cotesia vestalis, Regulates Host Physiology by Reprogramming the Neuropeptide Transcriptional Network. Scientific Reports. 5(1). 8173–8173. 30 indexed citations
20.
Li, Fuqiang, et al.. (2013). GSTP1 Ala114Val polymorphism and colorectal cancer risk: a meta-analysis. Tumor Biology. 34(3). 1825–1831. 5 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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