Dong Xi

441 total citations
12 papers, 285 citations indexed

About

Dong Xi is a scholar working on Infectious Diseases, Epidemiology and Hepatology. According to data from OpenAlex, Dong Xi has authored 12 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 4 papers in Hepatology. Recurrent topics in Dong Xi's work include Liver Disease Diagnosis and Treatment (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 Clinical Research Studies (3 papers). Dong Xi is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 Clinical Research Studies (3 papers). Dong Xi collaborates with scholars based in China and Thailand. Dong Xi's co-authors include Qin Ning, Ping Wei, Changkang Huang, Xiaojing Wang, Luhua Lai, Liang Ma, Lei Tan, Hao Chen, Keqiang Fan and Chunmei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Dong Xi

11 papers receiving 284 citations

Peers

Dong Xi

IMMUN

NEURO

EPIDE

Brigitte von Brunn Germany

Lalu Muhammad Irham Indonesia

Haiping Xiang China

Peirui Zhang China

Masoud Azizad United States

Aikaterini Nasi Sweden

Nassiba Taib Qatar

Guiji Zhang China

Chu Xie China

Brigitte von Brunn Germany

Dong Xi

251 ×1.8

140 ×1.9

82 ×1.2

IMMUN

48 ×1.0

NEURO

31 ×0.7

EPIDE

Citations per year, relative to Dong Xi Dong Xi (= 1×) peers Brigitte von Brunn

Countries citing papers authored by Dong Xi

Since Specialization

Citations

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

Fields of papers citing papers by Dong Xi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Xi

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

All Works

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12 of 12 papers shown

You, Jie, Fei Huang, Peng Wang, et al.. (2025). High‐Throughput Viral Integration Detection Reveals Baseline Breakpoints Burden Associated With HBsAg Seroclearance. Alimentary Pharmacology & Therapeutics. 62(9). 887–900.

Liu, Tian, Yun Zhang, Dong Xi, et al.. (2024). Novel glucomannan-like polysaccharide from Lycium barbarum L. ameliorates renal fibrosis via blocking macrophage-to-myofibroblasts transition. International Journal of Biological Macromolecules. 278(Pt 2). 134491–134491. 2 indexed citations

Wang, Ming, et al.. (2023). Strategies to reinvigorate exhausted CD8+ T cells in tumor microenvironment. Frontiers in Immunology. 14. 1204363–1204363. 22 indexed citations

Ning, Qin, Di Wu, Xiaojing Wang, et al.. (2022). The mechanism underlying extrapulmonary complications of the coronavirus disease 2019 and its therapeutic implication. Signal Transduction and Targeted Therapy. 7(1). 57–57. 57 indexed citations

Wang, Ming, et al.. (2021). Clinical features and potential mechanism of coronavirus disease 2019-associated liver injury. World Journal of Clinical Cases. 9(3). 528–539. 8 indexed citations

Xi, Dong, Yun Luo, Shan Lu, et al.. (2021). Ursodesoxycholic acid alleviates liver fibrosis via proregeneration by activation of the ID1‐WNT2/HGF signaling pathway. SHILAP Revista de lepidopterología. 11(2). e296–e296. 21 indexed citations

Zhang, Yaguang, Xiaojing Wang, Xuezhen Li, et al.. (2020). Potential contribution of increased soluble IL-2R to lymphopenia in COVID-19 patients. Cellular and Molecular Immunology. 17(8). 878–880. 45 indexed citations

Guo, Ai, Weiming Yan, Haijing Yu, et al.. (2018). Soluble Fgl2 restricts autoimmune hepatitis progression via suppressing Tc17 and conventional CD8+ T cell function. The Journal of Gene Medicine. 20(7-8). e3023–e3023. 9 indexed citations

Sun, Ying, Dong Xi, Wen Ding, et al.. (2014). Soluble FGL2, a novel effector molecule of activated hepatic stellate cells, regulates T-cell function in cirrhotic patients with hepatocellular carcinoma. Hepatology International. 8(4). 567–575. 27 indexed citations

10.

Liu, Xiaojuan, Rong Zhang, Guohong Deng, et al.. (2008). [Increased expression of KCTD9, a novel potassium channel related gene, correlates with disease severity in patients with viral hepatitis B].. PubMed. 16(11). 835–9. 3 indexed citations

11.

Wei, Ping, Keqiang Fan, Hao Chen, et al.. (2005). The N-terminal octapeptide acts as a dimerization inhibitor of SARS coronavirus 3C-like proteinase. Biochemical and Biophysical Research Communications. 339(3). 865–872. 77 indexed citations

12.

Xi, Dong, et al.. (2004). Association between IL-13 gene polymorphism and asthma in Han nationality in Hubei Chinese population. Current Medical Science. 24(3). 219–222. 14 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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