Shen Dai

1.0k total citations
18 papers, 640 citations indexed

About

Shen Dai is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Shen Dai has authored 18 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Shen Dai's work include Liver physiology and pathology (3 papers), Immune Cell Function and Interaction (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Shen Dai is often cited by papers focused on Liver physiology and pathology (3 papers), Immune Cell Function and Interaction (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Shen Dai collaborates with scholars based in United States, China and Germany. Shen Dai's co-authors include Xuebin Qin, Fengming Liu, Raj Putatunda, Xianming Mo, Yonggang Zhang, Wenhui Hu, Kamel Khalili, Won‐Bin Young, Ting Zhang and Weidong Xiao and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Hepatology.

In The Last Decade

Shen Dai

17 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shen Dai United States	12	322	182	173	90	69	18	640
Max Friesen United States	14	528 1.6×	77 0.4×	72 0.4×	35 0.4×	117 1.7×	22	757
Antje Malo Germany	10	149 0.5×	163 0.9×	199 1.2×	37 0.4×	92 1.3×	13	499
Anita Parmigiani United States	14	432 1.3×	260 1.4×	350 2.0×	196 2.2×	68 1.0×	18	972
Dongfei Qi United States	9	313 1.0×	117 0.6×	201 1.2×	133 1.5×	80 1.2×	11	681
Maria Luisa Colamussi Italy	14	377 1.2×	155 0.9×	304 1.8×	46 0.5×	99 1.4×	20	807
Shadi Salloum United States	14	172 0.5×	268 1.5×	85 0.5×	85 0.9×	23 0.3×	25	604
Kennichi Dowdell United States	16	169 0.5×	216 1.2×	438 2.5×	49 0.5×	160 2.3×	33	805
Florinda Battaglia Italy	18	249 0.8×	143 0.8×	588 3.4×	27 0.3×	193 2.8×	24	1.1k
Germana Grassi Italy	13	277 0.9×	152 0.8×	133 0.8×	19 0.2×	100 1.4×	28	684

Countries citing papers authored by Shen Dai

Since Specialization

Citations

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

Fields of papers citing papers by Shen Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Dai

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

All Works

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18 of 18 papers shown

Liu, Xiaolin, Xiao Li, Shanshan Wang, et al.. (2025). USP53 Drives Ethanol-Induced Myocardial Injury by Promoting K63 Deubiquitination-Dependent RIPK1 Activation at K377. Research. 8. 823–823.

Zhao, Jingyuan, Zixin Zhou, Huijie Li, et al.. (2023). Hepatocyte TIPE2 is a fasting-induced Raf-1 inactivator that drives hepatic gluconeogenesis to maintain glucose homeostasis. Metabolism. 148. 155690–155690. 5 indexed citations

Zhang, Jinyan, Shen Dai, Chenxiao Wang, et al.. (2022). CX3CR1 deficiency exacerbates immune-mediated hepatitis by increasing NF-κB-mediated cytokine production in macrophage and T cell. Experimental Biology and Medicine. 248(2). 117–129. 10 indexed citations

Guillot, Adrien, Lucía Guerri, Dechun Feng, et al.. (2021). Bile acid–activated macrophages promote biliary epithelial cell proliferation through integrin αvβ6 upregulation following liver injury. Journal of Clinical Investigation. 131(9). 57 indexed citations

Dai, Shen, Fengming Liu, Zhongnan Qin, et al.. (2021). Complement Inhibition Targeted to Injury Specific Neoepitopes Attenuates Atherogenesis in Mice. Frontiers in Cardiovascular Medicine. 8. 731315–731315. 7 indexed citations

Dai, Shen, Fengming Liu, Zhongnan Qin, et al.. (2020). Kupffer cells promote T-cell hepatitis by producing CXCL10 and limiting liver sinusoidal endothelial cell permeability. Theranostics. 10(16). 7163–7177. 38 indexed citations

Li, Minhui, Shen Dai, Qianchuan He, et al.. (2019). LRP1 receptor-mediated immunosuppression of α-MMC on monocytes. International Immunopharmacology. 70. 80–87. 17 indexed citations

Kim, Seung‐Jin, Dechun Feng, Adrien Guillot, et al.. (2019). Adipocyte Death Preferentially Induces Liver Injury and Inflammation Through the Activation of Chemokine (C‐C Motif) Receptor 2‐Positive Macrophages and Lipolysis. Hepatology. 69(5). 1965–1982. 54 indexed citations

Liu, Fengming, Shen Dai, Dechun Feng, et al.. (2019). Versatile cell ablation tools and their applications to study loss of cell functions. Cellular and Molecular Life Sciences. 76(23). 4725–4743. 19 indexed citations

10.

Velasquez, Stephani, Fengming Liu, Shen Dai, et al.. (2019). Elevated indoleamine-2,3-dioxygenase enzyme activity in a novel mouse model of HIV-associated atherosclerosis. AIDS. 33(10). 1557–1564. 9 indexed citations

11.

Liu, Fengming, Shen Dai, Jake A. Robinson, et al.. (2019). Caspase-1 Activation Is Related With HIV-Associated Atherosclerosis in an HIV Transgenic Mouse Model and HIV Patient Cohort. Arteriosclerosis Thrombosis and Vascular Biology. 39(9). 1762–1775. 28 indexed citations

12.

Yin, Chaoran, Ting Zhang, Xiying Qu, et al.. (2017). In Vivo Excision of HIV-1 Provirus by saCas9 and Multiplex Single-Guide RNAs in Animal Models. Molecular Therapy. 25(5). 1168–1186. 207 indexed citations

13.

Dai, Shen, Bo Wang, Wen Li, et al.. (2016). Systemic application of 3-methyladenine markedly inhibited atherosclerotic lesion in ApoE−/− mice by modulating autophagy, foam cell formation and immune-negative molecules. Cell Death and Disease. 7(12). e2498–e2498. 46 indexed citations

14.

Liu, Fengming, et al.. (2016). Rapid conditional targeted ablation model for hemolytic anemia in the rat. Physiological Genomics. 48(8). 626–632. 2 indexed citations

15.

Wang, Bo, Shen Dai, Xingguo Song, et al.. (2014). The Modulation of Endoplasmic Reticulum Stress by Chemical Chaperone Upregulates Immune Negative Cytokine IL-35 in Apolipoprotein E-Deficient Mice. PLoS ONE. 9(1). e87787–e87787. 22 indexed citations

16.

Liu, Fengming, Shen Dai, Jennifer Gordon, & Xuebin Qin. (2014). Complement and HIV-I infection/HIV-associated neurocognitive disorders. Journal of NeuroVirology. 20(2). 184–198. 22 indexed citations

17.

Ma, Yanyan, Xingli Liu, Xiaoyan Wang, et al.. (2014). The expression of a novel anti-inflammatory cytokine IL-35 and its possible significance in childhood asthma. Immunology Letters. 162(1). 11–17. 24 indexed citations

18.

Cao, Xuelei, Li Zhang, Yongyu Shi, et al.. (2013). Human tumor necrosis factor (TNF)-alpha-induced protein 8-like 2 suppresses hepatocellular carcinoma metastasis through inhibiting Rac1. Molecular Cancer. 12(1). 149–149. 73 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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