Xiaohui Ye

440 citations
25 papers · 338 · h-index 9

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Immune Cell Function and Interaction
    • Galectins and Cancer Biology

Papers in

    • Liver physiology and pathology 3
    • Hepatocellular Carcinoma Treatment and Prognosis 2
    • Liver Disease and Transplantation 2
    • Immune Cell Function and Interaction 4

Xiaohui Ye

23 papers receiving 335 citations

Peers

Xiaohui Ye
Comparison fields: 5 of 68
  • Hepatology 76
  • Immunology 53
  • Analytical Chemistry 25
  • Virology 9
  • Pathology and Forensic Medicine 28
Replace Qiuyun Guo with:
Qiuyun Guo China
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Xue-Chun Lu China
Gum‐Yong Kang South Korea
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Guangbing Wei China
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Xiaohui Ye relative to Qiuyun Guo China Qiuyun Guo's profile →
Citations per field
00.5×10×12.7×
Qiuyun Guo · 1×
Citations per year

Countries citing papers authored by Xiaohui Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohui Ye, 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 Xiaohui Ye Line = papers co-authored together Xiaohui Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201856
2 201545
3 201643
4 201737
5 201930
6 201828
7 202116
8 20219
9 20199
10 20068
11 20198
12 20198
13 20158
14 20226
15 20205
16 20204
17 20184
18 20233
19 20053
20 20173

About Xiaohui Ye

Xiaohui Ye is a scholar working on Hepatology, Immunology, Molecular Biology, Epidemiology and Genetics, having authored 25 papers that have together received 338 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Biochemical and Structural Characterization (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease and Transplantation (2 papers), HIV Research and Treatment (2 papers) and Venomous Animal Envenomation and Studies (2 papers). The work is most often cited by research in Hepatology (76 citations), Immunology (53 citations), Analytical Chemistry (25 citations), Virology (9 citations) and Pathology and Forensic Medicine (28 citations). Xiaohui Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lingling He, Huimin Ma, Jian Zhang, Hongshan Wei, Fan Xiao, Xin Li, Yi Kong, Yahui Chen, Xin Li and Meimei Chen. Their work appears in journals such as Algal Research, Advanced Science, BMC Pregnancy and Childbirth, BMC Gastroenterology and Metabolism.

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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