Yu Pan

1.1k total citations
47 papers, 787 citations indexed

About

Yu Pan is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Yu Pan has authored 47 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hepatology, 19 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Yu Pan's work include Hepatitis C virus research (20 papers), Hepatitis B Virus Studies (15 papers) and Liver Disease Diagnosis and Treatment (12 papers). Yu Pan is often cited by papers focused on Hepatitis C virus research (20 papers), Hepatitis B Virus Studies (15 papers) and Liver Disease Diagnosis and Treatment (12 papers). Yu Pan collaborates with scholars based in China, United Kingdom and United States. Yu Pan's co-authors include Junqi Niu, Xiumei Chi, Jing Jiang, Xiaodong Shi, Jin Zhong, Bing Sun, Yanfang Jiang, Yanhang Gao, Juan Lv and Ruihong Wu and has published in prestigious journals such as PLoS ONE, Diabetes and Journal of Virology.

In The Last Decade

Yu Pan

47 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Pan China 16 348 340 209 150 110 47 787
Michael Economou Greece 11 65 0.2× 377 1.1× 138 0.7× 190 1.3× 15 0.1× 19 887
Antonio Crivello Italy 12 69 0.2× 294 0.9× 103 0.5× 297 2.0× 12 0.1× 16 727
Jürgen Luhm Germany 14 127 0.4× 188 0.6× 76 0.4× 320 2.1× 14 0.1× 17 752
Fabian Helfritz Germany 13 236 0.7× 215 0.6× 122 0.6× 113 0.8× 13 0.1× 30 804
Guerau Fernández Spain 14 103 0.3× 109 0.3× 159 0.8× 55 0.4× 15 0.1× 26 520
Sven Schimanski Germany 11 238 0.7× 102 0.3× 91 0.4× 14 0.1× 40 0.4× 12 633
Robert W. Sjogren United States 15 104 0.3× 148 0.4× 71 0.3× 73 0.5× 13 0.1× 18 862
Francesco Borrelli Italy 12 113 0.3× 132 0.4× 54 0.3× 27 0.2× 6 0.1× 26 344
Ruhui Tian China 19 41 0.1× 81 0.2× 521 2.5× 45 0.3× 131 1.2× 71 1.1k

Countries citing papers authored by Yu Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Pan. A scholar is included among the top collaborators of Yu Pan 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 Yu Pan. Yu Pan 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.
Yan, Haiyan, et al.. (2025). Energy efficiency and comfort: analysis of thermal responses and behaviors of residents with high and low air conditioning dependency. Energy and Buildings. 338. 115695–115695. 1 indexed citations
2.
Pan, Yu, Shuqin Liang, Huifang Cheng, et al.. (2025). Structure-reactivity relationship of Fe-triggered NiMoS active phase for ultradeep hydrodesulfurization of diesel. Chemical Engineering Science. 317. 122071–122071. 6 indexed citations
3.
Wu, Zhenkai, Bo Deng, Xuezhu Li, et al.. (2024). Acyloxyacyl Hydrolase Protects against Kidney Injury via Inhibition of Tubular CD74-Macrophage Crosstalk. International Journal of Biological Sciences. 20(8). 3061–3075. 3 indexed citations
4.
Gao, Ziyan, et al.. (2023). MiR-29c-5p regulates the function of buffalo granulosa cells to induce follicular atresia by targeting INHBA. Theriogenology. 205. 50–62. 4 indexed citations
5.
Pan, Yu, Chaoxia Zou, Qiang An, et al.. (2022). CircUBE2Q2 promotes differentiation of cattle muscle stem cells and is a potential regulatory molecule of skeletal muscle development. BMC Genomics. 23(1). 267–267. 12 indexed citations
7.
Pan, Yu, et al.. (2021). Integration of transcriptomics and non-targeted metabolomics reveals the underlying mechanism of follicular atresia in Chinese buffalo. The Journal of Steroid Biochemistry and Molecular Biology. 212. 105944–105944. 13 indexed citations
8.
Wu, Xiaomin, Bin Bian, Chenxi Wu, et al.. (2021). Identification of exosomal mRNA, lncRNA and circRNA signatures in an osteoarthritis synovial fluid-exosomal study. Experimental Cell Research. 410(1). 112881–112881. 25 indexed citations
9.
Pan, Yu, et al.. (2021). PM2.5 exposure and anxiety in China: evidence from the prefectures. BMC Public Health. 21(1). 429–429. 22 indexed citations
10.
Deng, Yanfei, et al.. (2020). SQLE Promotes Differentiation and Apoptosis of Bovine Skeletal Muscle-Derived Mesenchymal Stem Cells. Cellular Reprogramming. 22(1). 22–29. 5 indexed citations
11.
Zhang, Mingyuan, Lei Hang, Fei Kong, et al.. (2020). Evaluation of a new point-of-care oral anti-HCV test for screening of hepatitis C virus infection. Virology Journal. 17(1). 14–14. 17 indexed citations
12.
Pan, Yu, Chong Wang, Fei Kong, et al.. (2018). Mitogen-activated protein kinase eight polymorphisms are associated with immune responsiveness to HBV vaccinations in infants of HBsAg(+)/HBeAg(−) mothers. BMC Infectious Diseases. 18(1). 274–274. 5 indexed citations
13.
Chen, Jizheng, Zhilei Zhang, Ning Wang, et al.. (2017). Role of HDAC9-FoxO1 Axis in the Transcriptional Program Associated with Hepatic Gluconeogenesis. Scientific Reports. 7(1). 6102–6102. 27 indexed citations
14.
Chi, Xiumei, Ruihong Wu, Hongqin Xu, et al.. (2016). Sustained viral response and treatment‐induced cytopenia correlate with SLC s and KLF12 genotypes in interferon/ribavirin‐treated Chinese chronic hepatitis C patients. Journal of Gastroenterology and Hepatology. 31(8). 1489–1497. 3 indexed citations
15.
Sun, Yi, et al.. (2016). Sleep deprivation disturbed regional brain activity in healthy subjects: evidence from a functional magnetic resonance-imaging study. Neuropsychiatric Disease and Treatment. 12. 801–801. 28 indexed citations
16.
Wu, Ruihong, Xiumei Chi, Xiaomei Wang, et al.. (2016). IFNL4 ss469415590 polymorphism contributes to treatment decisions in patients with chronic hepatitis C virus genotype 1b, but not 2a, infection. Infection Genetics and Evolution. 39. 132–140. 6 indexed citations
17.
Yang, Chen, Xinhao Zhao, Leilei Yang, et al.. (2015). Interferon alpha (IFNα)-induced TRIM22 interrupts HCV replication by ubiquitinating NS5A. Cellular and Molecular Immunology. 13(1). 94–102. 78 indexed citations
18.
Chen, Jizheng, Yang Zhao, Chao Zhang, et al.. (2014). Persistent hepatitis C virus infections and hepatopathological manifestations in immune-competent humanized mice. Cell Research. 24(9). 1050–1066. 48 indexed citations
19.
Zou, Xia, Xiumei Chi, Yu Pan, et al.. (2014). LecT-Hepa facilitates estimating treatment outcome during interferon therapy in chronic hepatitis C patients. Clinical Proteomics. 11(1). 44–44. 1 indexed citations
20.
Hu, Xiaoli, Yanfang Jiang, Xiurong Li, et al.. (2013). Long-Term Effect on Natural Killer Cells by Interferon-α Therapy on the Outcomes of HCV Infection. Journal of Interferon & Cytokine Research. 34(5). 366–375. 6 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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