Dexi Chen

7.5k total citations · 1 hit paper
193 papers, 5.7k citations indexed

About

Dexi Chen is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Dexi Chen has authored 193 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 63 papers in Epidemiology and 42 papers in Oncology. Recurrent topics in Dexi Chen's work include HIV Research and Treatment (31 papers), Cancer-related Molecular Pathways (25 papers) and Liver Disease Diagnosis and Treatment (25 papers). Dexi Chen is often cited by papers focused on HIV Research and Treatment (31 papers), Cancer-related Molecular Pathways (25 papers) and Liver Disease Diagnosis and Treatment (25 papers). Dexi Chen collaborates with scholars based in China, United States and United Kingdom. Dexi Chen's co-authors include Chuanyun Li, Weihua Li, Jun Chen, Roger P. Simon, Wei Pei, Xiaoni Liu, Tong Zhou, Luxin Qiao, Ying Shi and Xiuhui Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Dexi Chen

184 papers receiving 5.7k citations

Hit Papers

The significance of exosomes in the development and treat... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dexi Chen China 39 3.0k 1.0k 939 802 649 193 5.7k
Pankaj Seth India 43 3.3k 1.1× 1.0k 1.0× 488 0.5× 726 0.9× 557 0.9× 133 6.4k
Shailendra Giri United States 45 3.5k 1.2× 1.0k 1.0× 820 0.9× 944 1.2× 1.0k 1.6× 137 6.8k
Takashi Okamoto Japan 48 3.4k 1.1× 1.0k 1.0× 419 0.4× 1.2k 1.4× 1.0k 1.6× 196 6.8k
Ellen I. Closs Germany 45 4.1k 1.3× 1.1k 1.1× 524 0.6× 740 0.9× 1.4k 2.2× 95 9.6k
Jin Qian China 38 2.3k 0.8× 1.4k 1.3× 539 0.6× 498 0.6× 662 1.0× 159 5.0k
Scott G. Morham United States 37 3.4k 1.1× 635 0.6× 842 0.9× 776 1.0× 1.2k 1.9× 50 9.1k
Karine F. Ferri France 18 3.6k 1.2× 383 0.4× 991 1.1× 550 0.7× 932 1.4× 19 5.5k
Jakob Troppmair Austria 50 4.4k 1.4× 705 0.7× 547 0.6× 1.0k 1.3× 973 1.5× 157 7.9k
Markus Loeffler Germany 15 4.0k 1.3× 403 0.4× 709 0.8× 727 0.9× 840 1.3× 24 5.4k
L Ravagnan France 15 4.7k 1.5× 440 0.4× 728 0.8× 596 0.7× 853 1.3× 20 6.3k

Countries citing papers authored by Dexi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dexi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dexi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dexi Chen. A scholar is included among the top collaborators of Dexi Chen 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 Dexi Chen. Dexi Chen 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.
Gao, Yuxue, Pengxiang Yang, Jing Chang, et al.. (2025). Whole-Genome and RNA Sequencing Reveal Novel Insights into the Pathogenesis of Colorectal Cancer in Persons Living with HIV. AIDS Research and Human Retroviruses. 41(10). 463–476.
2.
Gao, Yuxue, et al.. (2025). M1 ‐Like Macrophage May Contribute to the Inflammation and Fibrosis Process of Chronic Hepatitis B. Journal of Viral Hepatitis. 32(8). e70052–e70052.
3.
Chen, Dexi, et al.. (2024). Machine learning-based characterization of the gut microbiome associated with the progression of primary biliary cholangitis to cirrhosis. Microbes and Infection. 26(8). 105368–105368. 6 indexed citations
4.
Yao, Jia, Hui Yang, Han Wang, et al.. (2022). ASPP2 Coordinates ERS-Mediated Autophagy and Apoptosis Through mTORC1 Pathway in Hepatocyte Injury Induced by TNF-α. Frontiers in Pharmacology. 13. 865389–865389. 7 indexed citations
5.
Wang, Shanshan, et al.. (2021). Exploring new targets for the treatment of hepatitis-B virus and hepatitis-B virus-associated hepatocellular carcinoma. Medicine. 100(33). e26917–e26917. 8 indexed citations
6.
Fu, Weilun, Wenjing Wang, Hao Li, et al.. (2021). CyTOF Analysis Reveals a Distinct Immunosuppressive Microenvironment in IDH Mutant Anaplastic Gliomas. Frontiers in Oncology. 10. 560211–560211. 7 indexed citations
7.
Wang, Wenjing, Bin Su, Lijun Pang, et al.. (2020). High-dimensional immune profiling by mass cytometry revealed immunosuppression and dysfunction of immunity in COVID-19 patients. Cellular and Molecular Immunology. 17(6). 650–652. 99 indexed citations
8.
Shi, Hongbo, Wenjing Wang, Jiming Yin, et al.. (2020). The inhibition of IL-2/IL-2R gives rise to CD8+ T cell and lymphocyte decrease through JAK1-STAT5 in critical patients with COVID-19 pneumonia. Cell Death and Disease. 11(6). 429–429. 63 indexed citations
9.
Fu, Weilun, Wenjing Wang, Hao Li, et al.. (2020). Single-Cell Atlas Reveals Complexity of the Immunosuppressive Microenvironment of Initial and Recurrent Glioblastoma. Frontiers in Immunology. 11. 835–835. 122 indexed citations
10.
Wang, Wenjing, Shubin Niu, Luxin Qiao, et al.. (2019). Usnea Acid as Multidrug Resistance (MDR) Reversing Agent against Human Chronic Myelogenous Leukemia K562/ADR Cells via an ROS Dependent Apoptosis. BioMed Research International. 2019. 1–7. 5 indexed citations
12.
Xu, Ping, et al.. (2019). Deficiency of apoptosis-stimulating protein 2 of p53 protects mice from acute hepatic injury induced by CCl4 via autophagy. Toxicology Letters. 316. 85–93. 13 indexed citations
13.
Pang, Lijun, Kai Liu, Daojie Liu, et al.. (2018). Differential effects of reticulophagy and mitophagy on nonalcoholic fatty liver disease. Cell Death and Disease. 9(2). 90–90. 46 indexed citations
14.
Yang, Rongrong, Feng Ren, Zhang Li, et al.. (2016). Caspase-1 aggravates the D-galactosamine/lipopolysaccharide induced acute liver failure in mice through activating glycogen synthase kinase-3β. Zhonghua weishengwuxue he mianyixue zazhi. 36(2). 132–137. 1 indexed citations
15.
Xie, Fang, Ying Shi, Jiming Yin, et al.. (2014). ASPP 2 attenuates triglycerides to protect against hepatocyte injury by reducing autophagy in a cell and mouse model of non‐alcoholic fatty liver disease. Journal of Cellular and Molecular Medicine. 19(1). 155–164. 24 indexed citations
16.
Shen, Tao, et al.. (2013). Evaluation of a novel domestic hepatitis B viral DNA quantitative fluorescence diagnostic kit. Zhonghua jianyan yixue zazhi. 36(3). 280–285. 2 indexed citations
17.
Chen, Dexi. (2012). An initial screening for HIV-1 associated neurocognitive disorders in HIV-1 infected patients in China.
18.
Chen, Dexi, et al.. (2010). Preliminary studies on the effects of plant phytosulfokine PSK-α in rice anther culture.. Xi'nan nongye xuebao. 23(5). 1447–1450. 1 indexed citations
19.
Chen, Dexi, et al.. (2008). Serum GPC3 combination with AFP Diagnostic value for primary liver cancer. Cancer Research. 68. 4446–4446. 1 indexed citations
20.
Lv, Yan, et al.. (2005). Application of agrobacterium-mediated transformation in rice genetic engineering. 3(4). 543–549. 1 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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