Yiting Tang

3.3k total citations · 1 hit paper
50 papers, 2.1k citations indexed

About

Yiting Tang is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yiting Tang has authored 50 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 25 papers in Immunology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yiting Tang's work include Inflammasome and immune disorders (25 papers), Immune Response and Inflammation (15 papers) and Advanced Glycation End Products research (9 papers). Yiting Tang is often cited by papers focused on Inflammasome and immune disorders (25 papers), Immune Response and Inflammation (15 papers) and Advanced Glycation End Products research (9 papers). Yiting Tang collaborates with scholars based in China, United States and Sweden. Yiting Tang's co-authors include Ben Lü, Haichao Wang, Xianzhong Xiao, Timothy R. Billiar, Jan Andersson, Kevin J. Tracey, Kai Zhao, Xinyu Yang, Jianhua Li and Sangeeta S. Chavan and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Yiting Tang

50 papers receiving 2.1k citations

Hit Papers

Novel role of PKR in inflammasome activation and HMGB1 re... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiting Tang China 24 1.2k 787 336 313 215 50 2.1k
Damien Bertheloot Germany 9 1.2k 1.0× 684 0.9× 88 0.3× 285 0.9× 266 1.2× 14 2.1k
Fabia Gamboni-Robertson United States 18 751 0.6× 1.0k 1.3× 367 1.1× 204 0.7× 136 0.6× 31 2.2k
Weng-Lang Yang United States 34 1.4k 1.2× 1.0k 1.3× 112 0.3× 563 1.8× 294 1.4× 72 3.0k
Eun Young Choi South Korea 21 660 0.5× 688 0.9× 253 0.8× 213 0.7× 217 1.0× 55 2.0k
Feili Gong China 36 894 0.7× 1.7k 2.1× 465 1.4× 340 1.1× 154 0.7× 136 3.3k
Florian C. Kurschus Germany 26 831 0.7× 1.7k 2.2× 626 1.9× 250 0.8× 144 0.7× 47 3.1k
Amandeep Bajwa United States 24 1.0k 0.9× 697 0.9× 93 0.3× 213 0.7× 131 0.6× 51 2.4k
Emilie Vénéreau Italy 14 867 0.7× 1.5k 1.9× 1.0k 3.0× 269 0.9× 186 0.9× 20 3.1k
Jie Fan China 21 725 0.6× 602 0.8× 117 0.3× 319 1.0× 263 1.2× 57 2.1k
Daiva Svetkauskaite United States 6 608 0.5× 1.3k 1.7× 1.1k 3.1× 313 1.0× 229 1.1× 8 2.3k

Countries citing papers authored by Yiting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yiting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiting Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yiting Tang. A scholar is included among the top collaborators of Yiting Tang 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 Yiting Tang. Yiting Tang 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.
Tang, Yiting, et al.. (2025). Habitual Glucosamine Use and Risk of Sepsis: A 16-Year Follow-Up Study. Critical Care Medicine. 53(10). e1906–e1917. 1 indexed citations
2.
Tang, Yiting, Ting-Ya Wang, Liming Gu, et al.. (2024). USP11 Exacerbates Radiation-Induced Pneumonitis by Activating Endothelial Cell Inflammatory Response via OTUD5-STING Signaling. International Journal of Radiation Oncology*Biology*Physics. 119(4). 1261–1274. 7 indexed citations
3.
Zhu, Jiajun, et al.. (2024). Extracellular vesicle-based drug delivery systems in cancer. SHILAP Revista de lepidopterología. 4. 100053–100053. 6 indexed citations
4.
Jiang, Li, et al.. (2024). MYELOID-DERIVED TLR4-TRIF SIGNALING PATHWAY MEDIATES OXIDATIVE STRESS IN LPS/D-GALN-INDUCED ACUTE LIVER FAILURE. Shock. 62(4). 582–587. 2 indexed citations
5.
Li, Yi, Chuang Yuan, Xiaoli Zhong, et al.. (2024). Caspase-11 signaling promotes damage to hippocampal CA3 to enhance cognitive dysfunction in infection. Molecular Medicine. 30(1). 127–127. 1 indexed citations
6.
Yang, Xinyu, et al.. (2022). Glycyrrhizin attenuates caspase-11-dependent immune responses and coagulopathy by targeting high mobility group box 1. International Immunopharmacology. 107. 108713–108713. 7 indexed citations
7.
Tang, Yiting, Jianfeng Wu, Kai Zhao, et al.. (2022). Impaired interferon-γ signaling promotes the development of silicosis. iScience. 25(7). 104647–104647. 12 indexed citations
8.
Li, Junmei, Yang Bai, Yiting Tang, et al.. (2022). A 4-Benzene-Indol Derivative Alleviates LPS-Induced Acute Lung Injury Through Inhibiting the NLRP3 Inflammasome. Frontiers in Immunology. 13. 812164–812164. 15 indexed citations
9.
Zhong, Xiaoli, Fang Liang, Jianbin Tong, et al.. (2020). Ethyl pyruvate protects against sepsis-associated encephalopathy through inhibiting the NLRP3 inflammasome. Molecular Medicine. 26(1). 55–55. 36 indexed citations
10.
Fang, Lijuan, Qingmei Cheng, Feiyan Zhao, et al.. (2019). Cigarette smoke exposure combined with lipopolysaccharides induced pulmonary fibrosis in mice. Respiratory Physiology & Neurobiology. 266. 9–17. 8 indexed citations
11.
Yang, Xinyu, Xiaoye Cheng, Yiting Tang, et al.. (2019). Bacterial Endotoxin Activates the Coagulation Cascade through Gasdermin D-Dependent Phosphatidylserine Exposure. Immunity. 51(6). 983–996.e6. 235 indexed citations
12.
Meng, Ran, Lan Gu, Yanyan Lu, et al.. (2019). High mobility group box 1 enables bacterial lipids to trigger receptor-interacting protein kinase 3 (RIPK3)-mediated necroptosis and apoptosis in mice. Journal of Biological Chemistry. 294(22). 8872–8884. 12 indexed citations
13.
Tang, Yiting, Xin Zhao, Daniel J. Antoine, et al.. (2015). Regulation of Posttranslational Modifications of HMGB1 During Immune Responses. Antioxidants and Redox Signaling. 24(12). 620–634. 110 indexed citations
14.
Huang, Ling, Yiting Tang, Yu Peng, et al.. (2011). Vasoactive Intestinal Peptide Enhances TNF-α-Induced IL-6 and IL-8 Synthesis in Human Proximal Renal Tubular Epithelial Cells by NF-κB-Dependent Mechanism. Inflammation. 35(3). 1154–1160. 17 indexed citations
15.
Tang, Yiting, Bingxin Li, Nasui Wang, et al.. (2010). Fluorofenidone protects mice from lethal endotoxemia through the inhibition of TNF-α and IL-1β release. International Immunopharmacology. 10(5). 580–583. 27 indexed citations
18.
Wang, Haichao, Yiting Tang, Fan Zhang, et al.. (2009). High-mobility group box 1 protein induces tissue factor expression in vascular endothelial cells via activation of NF-κB and Egr-1. Thrombosis and Haemostasis. 102(8). 352–359. 69 indexed citations
19.
20.
Tang, Yiting, Ben Lv, Haichao Wang, Xianzhong Xiao, & Xiaoxia Zuo. (2008). PACAP inhibit the release and cytokine activity of HMGB1 and improve the survival during lethal endotoxemia. International Immunopharmacology. 8(12). 1646–1651. 27 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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