Yong‐Ping Chen

2.3k total citations
60 papers, 1.5k citations indexed

About

Yong‐Ping Chen is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Yong‐Ping Chen has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Epidemiology, 28 papers in Hepatology and 11 papers in Surgery. Recurrent topics in Yong‐Ping Chen's work include Liver Disease Diagnosis and Treatment (49 papers), Hepatitis B Virus Studies (12 papers) and Liver Disease and Transplantation (11 papers). Yong‐Ping Chen is often cited by papers focused on Liver Disease Diagnosis and Treatment (49 papers), Hepatitis B Virus Studies (12 papers) and Liver Disease and Transplantation (11 papers). Yong‐Ping Chen collaborates with scholars based in China, United Kingdom and Italy. Yong‐Ping Chen's co-authors include Ming‐Hua Zheng, Keqing Shi, Kenneth I. Zheng, Lanman Xu, En-De Hu, Feng‐Bin Lu, Hong‐Lei Ma, Wen‐Yue Liu, Shengjie Wu and Giovanni Targher and has published in prestigious journals such as Hepatology, Clinical Infectious Diseases and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yong‐Ping Chen

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Ping Chen China 22 1.2k 557 378 263 184 60 1.5k
John Lubel Australia 25 1.1k 0.9× 776 1.4× 290 0.8× 315 1.2× 267 1.5× 91 1.8k
Jian-Gao Fan China 4 915 0.8× 324 0.6× 383 1.0× 157 0.6× 200 1.1× 5 1.2k
Thomas G. Cotter United States 18 1.2k 1.1× 672 1.2× 349 0.9× 381 1.4× 224 1.2× 55 1.7k
Yongning Xin China 23 1.1k 0.9× 475 0.9× 381 1.0× 427 1.6× 134 0.7× 89 1.9k
Francisco Barrera Chile 20 1.3k 1.1× 697 1.3× 437 1.2× 351 1.3× 151 0.8× 58 1.7k
Melanie Beaton Canada 20 1.3k 1.1× 684 1.2× 380 1.0× 281 1.1× 89 0.5× 41 1.9k
Javier Ampuero Spain 24 1.2k 1.0× 849 1.5× 242 0.6× 397 1.5× 105 0.6× 115 1.7k
E Fassio Argentina 21 1.2k 1.0× 883 1.6× 333 0.9× 336 1.3× 144 0.8× 45 1.5k
Rajiv Baijal India 14 680 0.6× 300 0.5× 312 0.8× 277 1.1× 137 0.7× 29 1.0k
Martin Schlattjan Germany 17 1.1k 0.9× 561 1.0× 271 0.7× 289 1.1× 124 0.7× 34 1.6k

Countries citing papers authored by Yong‐Ping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Ping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong‐Ping Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Ping Chen. A scholar is included among the top collaborators of Yong‐Ping 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 Yong‐Ping Chen. Yong‐Ping 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
2.
Chen, Yong‐Ping, et al.. (2025). Mixing behavior for inclined jets in wavy current environments. Ocean Engineering. 342. 123180–123180.
4.
Cai, Chao, Da‐Zhi Chen, Tao Ying, et al.. (2021). MicroRNA-29c Acting on FOS Plays a Significant Role in Nonalcoholic Steatohepatitis Through the Interleukin-17 Signaling Pathway. Frontiers in Physiology. 12. 597449–597449. 11 indexed citations
5.
Zhang, Lei, Da‐Zhi Chen, Tongtong Pan, et al.. (2021). Vitexin attenuates autoimmune hepatitis in mouse induced by syngeneic liver cytosolic proteins via activation of AMPK/AKT/GSK-3β/Nrf2 pathway. European Journal of Pharmacology. 917. 174720–174720. 13 indexed citations
6.
Zheng, Kenneth I., Xiaobo Wang, Huadong Yan, et al.. (2020). Metabolic associated fatty liver disease increases coronavirus disease 2019 disease severity in nondiabetic patients. Journal of Gastroenterology and Hepatology. 36(1). 204–207. 89 indexed citations
7.
Zheng, Kenneth I., Pei‐Wu Zhu, Yangyang Li, et al.. (2020). FNDC5 polymorphism influences the association between sarcopenia and liver fibrosis in adults with biopsy-proven non-alcoholic fatty liver disease. British Journal Of Nutrition. 126(6). 813–824. 13 indexed citations
9.
Chang, Xiujuan, Yan Chen, Zujiang Yu, et al.. (2019). On-treatment monitoring of liver fibrosis with serum hepatitis B core-related antigen in chronic hepatitis B. World Journal of Gastroenterology. 25(32). 4764–4778. 16 indexed citations
10.
Wu, Di, Meifang Han, Yong‐Ping Chen, et al.. (2019). Sequential combination therapy with interferon, interleukin-2 and therapeutic vaccine in entecavir-suppressed chronic hepatitis B patients: the Endeavor study. Hepatology International. 13(5). 573–586. 34 indexed citations
11.
Chen, Yong‐Ping, Feng‐Bin Lu, Yibing Hu, et al.. (2018). A systematic review and a dose–response meta-analysis of coffee dose and nonalcoholic fatty liver disease. Clinical Nutrition. 38(6). 2552–2557. 75 indexed citations
12.
Huang, Sisi, Da‐Zhi Chen, Ruicong Chen, et al.. (2016). Cannabinoid receptors are involved in the protective effect of a novel curcumin derivative C66 against CCl4-induced liver fibrosis. European Journal of Pharmacology. 779. 22–30. 19 indexed citations
13.
You, Jie, Sha Huang, Guiqian Huang, et al.. (2015). Nonalcoholic Fatty Liver Disease. Medicine. 94(5). e479–e479. 22 indexed citations
14.
Wu, Shengjie, Huadong Yan, Keqing Shi, et al.. (2015). Establishment and Validation of ALPH-Q Score to Predict Mortality Risk in Patients With Acute-on-Chronic Hepatitis B Liver Failure. Medicine. 94(2). e403–e403. 17 indexed citations
15.
Wu, Shengjie, Gui‐Qi Zhu, Bozhi Ye, et al.. (2015). Association Between Sex-Specific Serum Uric Acid and Non-Alcoholic Fatty Liver Disease in Chinese Adults. Medicine. 94(17). e802–e802. 56 indexed citations
16.
Wu, Shengjie, Hai Zou, Gui‐Qi Zhu, et al.. (2015). Increased Levels of Systolic Blood Pressure Within the Normal Range Are Associated With Significantly Elevated Risks of Nonalcoholic Fatty Liver Disease. Medicine. 94(19). e842–e842. 36 indexed citations
17.
Lin, Xianfeng, Keqing Shi, Jie You, et al.. (2014). Increased risk of colorectal malignant neoplasm in patients with nonalcoholic fatty liver disease: a large study. Molecular Biology Reports. 41(5). 2989–2997. 56 indexed citations
18.
Shi, Keqing, Yu‐Chen Fan, Wen‐Yue Liu, et al.. (2012). Traditional Chinese medicines benefit to nonalcoholic fatty liver disease: a systematic review and meta-analysis. Molecular Biology Reports. 39(10). 9715–9722. 79 indexed citations
19.
Bai, Jianling, Ming‐Hua Zheng, Xianfeng Xia, et al.. (2009). MTHFR C677T polymorphism contributes to prostate cancer risk among Caucasians: A meta-analysis of 3511 cases and 2762 controls. European Journal of Cancer. 45(8). 1443–1449. 39 indexed citations
20.
Zheng, Ming‐Hua, Li‐Xin Qiu, Yongning Xin, et al.. (2009). Tumor necrosis factor-α-308A allele may have a protective effect for chronic hepatitis B virus infection in Mongoloid populations. International Journal of Infectious Diseases. 14(7). e580–e585. 20 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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