Huiping Yan

1.6k total citations
48 papers, 1.0k citations indexed

About

Huiping Yan is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Huiping Yan has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 30 papers in Hepatology and 9 papers in Immunology. Recurrent topics in Huiping Yan's work include Liver Disease Diagnosis and Treatment (22 papers), Liver Diseases and Immunity (21 papers) and Immune Cell Function and Interaction (9 papers). Huiping Yan is often cited by papers focused on Liver Disease Diagnosis and Treatment (22 papers), Liver Diseases and Immunity (21 papers) and Immune Cell Function and Interaction (9 papers). Huiping Yan collaborates with scholars based in China, United Kingdom and United States. Huiping Yan's co-authors include Andrew J. McMichael, Hao Wu, Yonghong Zhang, Tao Dong, Yan Zhao, Robin A. Weiss, Gavin Screaton, Mingxia Zhang, Xiaoping Tang and Daniel C. Douek and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Huiping Yan

45 papers receiving 1.0k citations

Peers

Huiping Yan

IMMUN

EPIDE

HEPAT

Iwona Mozer‐Lisewska Poland

Alireza Saeidi Malaysia

Kunihisa Tsukada Japan

D. Torre Italy

Shiwu Ma China

Arumugam Balamurugan United States

Sabine Jordan Germany

Norma Rallón Spain

Miguel Genebat Spain

Ang Huang China

Iwona Mozer‐Lisewska Poland

Huiping Yan

210 ×0.5

192 ×0.5

IMMUN

281 ×0.7

EPIDE

89 ×0.4

314 ×1.6

HEPAT

Citations per year, relative to Huiping Yan Huiping Yan (= 1×) peers Iwona Mozer‐Lisewska

Countries citing papers authored by Huiping Yan

Since Specialization

Citations

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

Fields of papers citing papers by Huiping Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Huiping Yan. A scholar is included among the top collaborators of Huiping Yan 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 Huiping Yan. Huiping Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Ke, Bo Jiang, Huiping Yan, Yang Liu, & Zheling Chen. (2025). Case report: Bevacizumab-induced cerebrovascular events: a case series report and literature review. Frontiers in Oncology. 15. 1395129–1395129. 1 indexed citations

Wu, Xiao, et al.. (2025). Development and validation of a nomogram risk prediction model for PICC-related thrombosis in children with hematological malignancies. Clinical and Experimental Medicine. 25(1). 195–195.

Yan, Huiping, et al.. (2024). Effects of 8 weeks parent-accompanied swimming on physical capacity and intelligence in preschool children. Frontiers in Public Health. 12. 1410707–1410707.

Huang, Song, et al.. (2023). Dynamic Changes of Endogenous Hormones in Different Seasons of Idesia polycarpa Maxim. Life. 13(3). 788–788. 7 indexed citations

Yan, Huiping, et al.. (2023). Prevalence and prognostic significance of main metabolic risk factors in primary biliary cholangitis: a retrospective cohort study of 789 patients. Frontiers in Endocrinology. 14. 1142177–1142177. 4 indexed citations

Yan, Huiping, Huiyu Liao, Yanmin Liu, et al.. (2023). Using two-step cluster analysis to classify inpatients with primary biliary cholangitis based on autoantibodies: A real-world retrospective study of 537 patients in China. Frontiers in Immunology. 13. 1098076–1098076. 6 indexed citations

Zhang, Haiping, Yanmin Liu, Zhao Li, et al.. (2021). Clinical characteristics and HLA genotypes in Chinese patients with anti-SLA/LP-positive autoimmune hepatitis. Annals of Translational Medicine. 9(2). 153–153. 4 indexed citations

Zhao, Yan, Yanli Li, Haiping Zhang, et al.. (2018). Fumarate hydratase-specific T cell response in Chinese patients with autoimmune hepatitis. Clinics and Research in Hepatology and Gastroenterology. 42(4). 339–346. 1 indexed citations

Peng, Yunling, et al.. (2016). Deep-sowing tolerance and genetic diversity of maize inbred lines.. Acta Pratacultural Science. 25(7). 73–86. 5 indexed citations

10.

Zhang, Yonghong, Yan Zhao, Ushani Rajapaksa, et al.. (2016). A Comprehensive Analysis of the Impact of HIV on HCV Immune Responses and Its Association with Liver Disease Progression in a Unique Plasma Donor Cohort. PLoS ONE. 11(7). e0158037–e0158037. 3 indexed citations

11.

Zhang, Shibin, Yan Zhao, Huiping Yan, et al.. (2014). Pretreatment serum macrophage inflammatory protein (MIP)-1 levels predict sustained virological responses to re-treatment in patients with chronic hepatitis C virus infection. International Journal of Infectious Diseases. 33. 15–21. 4 indexed citations

12.

Zhang, Xin, Xiaojie Huang, Wei Xia, et al.. (2013). HLA-B*44 Is Associated with a Lower Viral Set Point and Slow CD4 Decline in a Cohort of Chinese Homosexual Men Acutely Infected with HIV-1. Clinical and Vaccine Immunology. 20(7). 1048–1054. 11 indexed citations

13.

Zhao, Yan, Yonghong Zhang, Laura Denney, et al.. (2012). High Levels of Virus-Specific CD4+ T Cells Predict Severe Pandemic Influenza A Virus Infection. American Journal of Respiratory and Critical Care Medicine. 186(12). 1292–1297. 50 indexed citations

14.

Zhang, Yonghong, Dandan Guo, Yan Zhao, et al.. (2011). The effect of cytokine profiles on the viral response to re-treatment in antiviral-experienced patients with chronic hepatitis C virus infection. Antiviral Research. 92(2). 247–254. 10 indexed citations

15.

Liao, Huiyu, et al.. (2011). Prognostic Factors and Survival Analysis of Antimitochondrial Antibody-Positive Primary Biliary Cirrhosis in Chinese Patients. Digestive Diseases and Sciences. 56(9). 2750–2757. 10 indexed citations

16.

Zhao, Yan, Yonghong Zhang, Yanmin Liu, et al.. (2011). Identification of T cell epitopes on soluble liver antigen in Chinese patients with auto-immune hepatitis. Liver International. 31(5). 721–729. 17 indexed citations

17.

Xia, Qing, Dexi Chen, X Y Feng, et al.. (2011). Detection of D‐3‐phosphoglycerate dehydrogenase autoantibodies in patients with autoimmune hepatitis: Clinical significance evaluation. Hepatology Research. 41(9). 867–876. 5 indexed citations

18.

Wu, Hao, Huiping Yan, Shiwu Ma, et al.. (2008). T Cell Responses to Whole SARS Coronavirus in Humans. The Journal of Immunology. 181(8). 5490–5500. 365 indexed citations

19.

Xia, Qing, Huiping Yan, Qian Lü, et al.. (2008). Serum proteomic-based analysis for the identification of a potential serological marker for autoimmune hepatitis. Biochemical and Biophysical Research Communications. 367(2). 284–290. 9 indexed citations

20.

Wang, Jing‐Quan, et al.. (2004). The clinical observation of autoantibody in autoimmune hepatitis. 20(1). 12–13. 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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