Dewei Ye

3.9k total citations · 2 hit papers
49 papers, 2.9k citations indexed

About

Dewei Ye is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Dewei Ye has authored 49 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 19 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Dewei Ye's work include Liver Disease Diagnosis and Treatment (15 papers), Fibroblast Growth Factor Research (7 papers) and Kruppel-like factors research (5 papers). Dewei Ye is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Fibroblast Growth Factor Research (7 papers) and Kruppel-like factors research (5 papers). Dewei Ye collaborates with scholars based in China, Hong Kong and Czechia. Dewei Ye's co-authors include Aimin Xu, Yu Wang, Karen S.L. Lam, Ruby L.C. Hoo, Xiaoyan Hui, Tianshi Feng, Karen Siu Ling Lam, Yong Pan, Jiao Guo and Weiping Jia and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Dewei Ye

47 papers receiving 2.9k citations

Hit Papers

Adipocyte-secreted exosomal microRNA-34a inhibits M2 macr... 2019 2026 2021 2023 2019 2019 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
Dewei Ye China 26 1.4k 905 534 449 301 49 2.9k
Weijie Li China 31 1.3k 0.9× 817 0.9× 555 1.0× 363 0.8× 293 1.0× 134 3.2k
Zheng Chen China 31 1.4k 1.0× 937 1.0× 697 1.3× 274 0.6× 285 0.9× 133 3.3k
Meei‐Ling Sheu Taiwan 36 1.1k 0.8× 568 0.6× 383 0.7× 360 0.8× 149 0.5× 101 3.2k
Shaoqiang Lin China 28 2.1k 1.5× 527 0.6× 485 0.9× 369 0.8× 164 0.5× 48 3.2k
Senthil Kumar Venugopal India 26 1.0k 0.7× 1.4k 1.5× 420 0.8× 574 1.3× 364 1.2× 58 3.5k
Silvia Wagner Germany 27 969 0.7× 754 0.8× 419 0.8× 189 0.4× 528 1.8× 49 2.6k
Koichiro Wada Japan 38 2.2k 1.6× 635 0.7× 515 1.0× 475 1.1× 249 0.8× 91 4.1k
Yoshitsugu Takabatake Japan 33 1.4k 1.0× 1.5k 1.7× 359 0.7× 391 0.9× 206 0.7× 71 4.1k
Akifumi Kushiyama Japan 29 1.2k 0.8× 609 0.7× 486 0.9× 247 0.6× 595 2.0× 98 2.6k
Qichen Fang China 24 1.4k 1.0× 1.2k 1.3× 818 1.5× 170 0.4× 357 1.2× 67 2.8k

Countries citing papers authored by Dewei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Dewei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dewei Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Dewei Ye. A scholar is included among the top collaborators of Dewei Ye 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 Dewei Ye. Dewei Ye 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
2.
Lin, Shaoling, et al.. (2025). Basic biology and roles of CEBPD in cardiovascular disease. Cell Death Discovery. 11(1). 102–102. 2 indexed citations
4.
Lü, Jing, Dongyang Liu, Ying Xu, et al.. (2024). Chinese medicine Linggui Zhugan formula protects against diabetic kidney disease in close association with inhibition of proteinase 3-mediated podocyte apoptosis in mice. Journal of Ethnopharmacology. 335. 118650–118650. 3 indexed citations
5.
Li, Qin, Liona C. Poon, Chi Chiu Wang, et al.. (2023). Decreased serum soluble programmed cell death ligand-1 level as a potential biomarker for missed miscarriage. Human Reproduction. 38(11). 2128–2136. 5 indexed citations
6.
Ye, Dewei, Qiongzhi Gao, Siyuan Yang, et al.. (2023). Dual-sources directed construction of N-doped carbon nanotube arrays as superior Self-supported bifunctional air electrodes for Rechargeable/Flexible Zinc-air batteries. Chemical Engineering Journal. 464. 142601–142601. 38 indexed citations
7.
Li, Yue, Dewei Ye, Xiangtian Yu, et al.. (2023). Longitudinal metabolomics integrated with machine learning identifies novel biomarkers of gestational diabetes mellitus. Free Radical Biology and Medicine. 209(Pt 1). 9–17. 10 indexed citations
8.
Yang, Shilun, Dingkang Xu, Dianhui Zhang, et al.. (2023). Levofloxacin alleviates blood-brain barrier disruption following cerebral ischemia and reperfusion via directly inhibiting A-FABP. European Journal of Pharmacology. 963. 176275–176275. 3 indexed citations
9.
Feng, Tianshi, Xuemei Zhao, Ping Gu, et al.. (2022). Adipocyte-derived lactate is a signalling metabolite that potentiates adipose macrophage inflammation via targeting PHD2. Nature Communications. 13(1). 5208–5208. 104 indexed citations
10.
Ye, Dewei, Subrata Chakrabarti, Hema Mahajan, et al.. (2022). Serum Thrombospondin-2 Levels Are Closely Associated With the Severity of Metabolic Syndrome and Metabolic Associated Fatty Liver Disease. The Journal of Clinical Endocrinology & Metabolism. 107(8). e3230–e3240. 27 indexed citations
11.
Wang, Lin, Zhuohao Liu, Dewei Ye, et al.. (2022). Hepatic MDM2 Causes Metabolic Associated Fatty Liver Disease by Blocking Triglyceride‐VLDL Secretion via ApoB Degradation. Advanced Science. 9(20). e2200742–e2200742. 29 indexed citations
12.
Ye, Dewei, Yong Yang, Kaixuan Yan, et al.. (2022). Neutrophil Extracellular Traps Mediate Acute Liver Failure in Regulation of miR-223/Neutrophil Elastase Signaling in Mice. Cellular and Molecular Gastroenterology and Hepatology. 14(3). 587–607. 24 indexed citations
13.
Siu, Parco M., et al.. (2021). The APPL1-Rab5 axis restricts NLRP3 inflammasome activation through early endosomal-dependent mitophagy in macrophages. Nature Communications. 12(1). 6637–6637. 59 indexed citations
14.
Wang, Xia, Ying Xu, Yan Cui, et al.. (2021). Circulating fibroblast growth factor 21 as a potential biomarker for missed abortion in humans. Fertility and Sterility. 116(4). 1040–1049. 5 indexed citations
15.
Hua, Shuang, Yong Yang, Kaixuan Yan, et al.. (2021). COVID-19 and metabolic comorbidities: An update on emerging evidences for optimal therapies. Biomedicine & Pharmacotherapy. 140. 111685–111685. 8 indexed citations
16.
Lv, Minghui, et al.. (2020). Anti-inflammatory phytochemicals for the treatment of diabetes and its complications: Lessons learned and future promise. Biomedicine & Pharmacotherapy. 133. 110975–110975. 101 indexed citations
17.
Pan, Yong, Xiaoyan Hui, Ruby L.C. Hoo, et al.. (2019). Adipocyte-secreted exosomal microRNA-34a inhibits M2 macrophage polarization to promote obesity-induced adipose inflammation. Journal of Clinical Investigation. 129(2). 834–849. 364 indexed citations breakdown →
18.
Liu, Yan, Yao Wang, Yueqiong Ni, et al.. (2019). Gut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention. Cell Metabolism. 31(1). 77–91.e5. 285 indexed citations breakdown →
20.
Yang, Bo, Dewei Ye, & Yu Wang. (2013). Caspase-3 as a therapeutic target for heart failure. Expert Opinion on Therapeutic Targets. 17(3). 255–263. 79 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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