Yuankai Wu

3.7k total citations · 2 hit papers
39 papers, 1.2k citations indexed

About

Yuankai Wu is a scholar working on Epidemiology, Hepatology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yuankai Wu has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 24 papers in Hepatology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yuankai Wu's work include Liver Disease Diagnosis and Treatment (23 papers), Hepatitis C virus research (20 papers) and Hepatitis B Virus Studies (19 papers). Yuankai Wu is often cited by papers focused on Liver Disease Diagnosis and Treatment (23 papers), Hepatitis C virus research (20 papers) and Hepatitis B Virus Studies (19 papers). Yuankai Wu collaborates with scholars based in China, United States and Japan. Yuankai Wu's co-authors include Ramsey Cheung, Christopher D Stave, Mindie H. Nguyen, Linda Henry, Biyao Zou, Yee Hui Yeo, Jie Li, Leslie Y. Kam, Chuanli Liu and Nicholas Chien and has published in prestigious journals such as PLoS ONE, Hepatology and Journal of Hepatology.

In The Last Decade

Yuankai Wu

33 papers receiving 1.2k citations

Hit Papers

Global prevalence, incide... 2020 2026 2022 2024 2020 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuankai Wu China 12 982 472 383 193 168 39 1.2k
Rosa Lombardi Italy 24 1.1k 1.1× 546 1.2× 419 1.1× 199 1.0× 154 0.9× 73 1.5k
Tarek Tamimi United States 6 1.1k 1.1× 637 1.3× 377 1.0× 217 1.1× 159 0.9× 17 1.3k
Mayada Metwally Australia 4 817 0.8× 412 0.9× 334 0.9× 150 0.8× 103 0.6× 6 883
Tomomi Kogiso Japan 19 731 0.7× 448 0.9× 253 0.7× 126 0.7× 195 1.2× 74 1.0k
Saeed Esmaili Australia 13 792 0.8× 351 0.7× 234 0.6× 95 0.5× 139 0.8× 19 963
C. Bertelli Italy 13 856 0.9× 324 0.7× 398 1.0× 158 0.8× 114 0.7× 22 1.1k
Iliana Doycheva United States 17 753 0.8× 386 0.8× 311 0.8× 148 0.8× 127 0.8× 22 1.0k
E. Gentilcore Italy 6 1.2k 1.2× 530 1.1× 577 1.5× 147 0.8× 191 1.1× 6 1.3k
Bastiaan de Boer Australia 13 1.2k 1.2× 777 1.6× 350 0.9× 282 1.5× 157 0.9× 32 1.5k
Richard Skoien Australia 13 817 0.8× 419 0.9× 226 0.6× 90 0.5× 181 1.1× 33 1.1k

Countries citing papers authored by Yuankai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuankai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuankai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuankai Wu. A scholar is included among the top collaborators of Yuankai Wu 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 Yuankai Wu. Yuankai Wu 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
3.
Pan, Shufang, Yuankai Wu, Jie Gao, et al.. (2025). A case of hepatic-splenic abscess in a non-endemic area of brucellosis: insights from complex infection with brucellosis. BMC Infectious Diseases. 25(1). 798–798.
4.
Le, Michael H., David Le, Hansen Dang, et al.. (2024). Global incidence of adverse clinical events in non-alcoholic fatty liver disease: A systematic review and meta-analysis. Clinical and Molecular Hepatology. 30(2). 235–246. 34 indexed citations
5.
Zhao, Qiang, Dong‐Ping Chen, Yingzhe Wang, et al.. (2024). NK-cell–elicited gasdermin-D–dependent hepatocyte pyroptosis induces neutrophil extracellular traps that facilitate HBV-related acute-on-chronic liver failure. Hepatology. 81(3). 917–931. 18 indexed citations
6.
8.
Zhu, Yong, Yusheng Jie, Yuankai Wu, et al.. (2022). A Simple and Practical microRNA-based Nomogram to Predict MetastaticHCC. Current Bioinformatics. 17(6). 521–530. 2 indexed citations
9.
Xu, Wenli, Yuankai Wu, Yusheng Jie, et al.. (2022). Plasma-Derived Exosomal SncRNA as a Promising Diagnostic Biomarker for Early Detection of HBV-Related Acute-on-Chronic Liver Failure. Frontiers in Cellular and Infection Microbiology. 12. 923300–923300. 11 indexed citations
10.
Xi, Sujuan, Xiaoyan Zheng, Xiangyong Li, et al.. (2021). Activated Hepatic Stellate Cells Induce Infiltration and Formation of CD163+ Macrophages via CCL2/CCR2 Pathway. Frontiers in Medicine. 8. 49 indexed citations
11.
Wu, Bingyuan, Yuankai Wu, Long Peng, et al.. (2021). Atrial fibrillation increases inpatient and 4-year all-cause mortality in critically ill patients with liver cirrhosis. Annals of Translational Medicine. 9(15). 1239–1239. 6 indexed citations
12.
Gong, Jiao, Yusheng Jie, Cuicui Xiao, et al.. (2020). Increased Expression of Fibulin-1 Is Associated With Hepatocellular Carcinoma Progression by Regulating the Notch Signaling Pathway. Frontiers in Cell and Developmental Biology. 8. 478–478. 20 indexed citations
13.
Ye, Qing, Biyao Zou, Yee Hui Yeo, et al.. (2020). Global prevalence, incidence, and outcomes of non-obese or lean non-alcoholic fatty liver disease: a systematic review and meta-analysis. ˜The œLancet. Gastroenterology & hepatology. 5(8). 739–752. 586 indexed citations breakdown →
14.
Wu, Yuankai, Qi Zheng, Biyao Zou, et al.. (2020). The epidemiology of NAFLD in Mainland China with analysis by adjusted gross regional domestic product: a meta-analysis. Hepatology International. 14(2). 259–269. 75 indexed citations
15.
Zou, Biyao, Yee Hui Yeo, Jie Li, et al.. (2019). Global Prevalence, Incidence and Outcome of Non-Obese or Lean NAFLD:  A Meta-Analysis of 134 Studies and 11,947,163 Persons. SSRN Electronic Journal. 1 indexed citations
16.
Li, Xiangyong, Changhao Zhu, Yuankai Wu, et al.. (2018). Efficacy of tenofovir disoproxil fumarate switch therapy in chronic hepatitis B patients with suboptimal response to adefovir‑based combination therapy. Experimental and Therapeutic Medicine. 17(2). 1196–1205. 1 indexed citations
17.
Huang, Mingxing, Guoli Lin, Hong Shi, et al.. (2017). TDF Monotherapy Is Effective Regardless of Prior Nucleos(t)ide Analogue Treatment in Chronic Hepatitis B Patients in China. BioMed Research International. 2017. 1–8. 2 indexed citations
18.
Huang, Mingxing, Yusheng Jie, Hong Shi, et al.. (2015). Comparison of the efficacy of tenofovir disoproxil fumarate and entecavir for initial treatment of patient with chronic hepatitis B in China.. PubMed. 8(1). 666–73. 12 indexed citations
19.
Li, Xiangyong, Yuankai Wu, Guoli Lin, et al.. (2013). Efficacy of Entecavir Treatment for up to 5 Years in Nucleos(t)ide-Naïve Chronic Hepatitis B Patients in Real Life. International Journal of Medical Sciences. 10(4). 427–433. 47 indexed citations
20.
Wu, Yuankai, et al.. (2011). Implementation and analysis of range-finding based on infrared techniques. Asian Control Conference. 956–959. 3 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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