Xueping Yu

2.7k citations
77 papers · 2.0k · h-index 25

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Bioinformatics and Genomic Networks
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Gene expression and cancer classification

Papers in

Xueping Yu

73 papers receiving 1.9k citations

Peers

Xueping Yu
Comparison fields: 5 of 114
  • Hepatology 214
  • Molecular Biology 927
  • Epidemiology 402
  • Immunology 211
  • Cancer Research 144
Replace Mirza S. Baig with:
Mirza S. Baig India
Weihong Zhou China
Franco Turrini Italy
Gulam Hussain Syed United States
Sascha Bulik Germany
Ming Zeng China
Cheng Liu China
Tao-Hsin Chang Taiwan
Joseph Roitelman Israel
Xueping Yu relative to Mirza S. Baig India Mirza S. Baig's profile →
Citations per field
00.5×5.4×
Mirza S. Baig · 1×
Citations per year

Countries citing papers authored by Xueping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xueping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xueping Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xueping Yu Line = papers co-authored together Xueping Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009309
2 2008298
3 2006123
4 201967
5 200866
6 201564
7 201960
8 200741
9 201340
10 201839
11 201738
12 201835
13 201734
14 201334
15 200934
16 201332
17 201332
18 201531
19 201731
20 201430

About Xueping Yu

Xueping Yu is a scholar working on Epidemiology, Molecular Biology, Immunology, Infectious Diseases and Hepatology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (19 papers), Liver Disease Diagnosis and Treatment (9 papers), Gut microbiota and health (7 papers), COVID-19 Clinical Research Studies (6 papers), Probiotics and Fermented Foods (6 papers), Hepatitis C virus research (5 papers), Computational Drug Discovery Methods (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Hepatology (214 citations), Molecular Biology (927 citations), Epidemiology (402 citations), Immunology (211 citations) and Cancer Research (144 citations). Xueping Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jiang Qian, Donald J. Zack, Heng Zhu, Anders Wallqvist, Jimmy Lin, Xiong Liu, Jaques Reifman, Zhijun Su, Ruifeng Liu and Jiming Zhang. Their work appears in journals such as Medicine, BMC Bioinformatics, Scientific Reports, PLoS ONE and Frontiers in Immunology.

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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