Chang‐Hui Ge

1.8k citations
54 papers · 1.3k · h-index 19

Impact in

  • Hepatology top 10%
    • Genomics, phytochemicals, and oxidative stress
    • Inflammasome and immune disorders
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways

Papers in

Chang‐Hui Ge

54 papers receiving 1.3k citations

Peers

Chang‐Hui Ge
Comparison fields: 5 of 93
  • Hepatology 82
  • Molecular Biology 750
  • Cancer Research 148
  • Immunology 184
  • Biological Psychiatry 13
Replace Yi‐Qun Zhan with:
Yi‐Qun Zhan China
Chang‐Yan Li China
Hongtao Lu China
Chun Wang China
Ying Su China
Yoshito Hayashi Japan
Guizhi Yang China
Nicolas Coant United States
Xiaojian Huang China
Songwen Zhang China
Chang‐Hui Ge relative to Yi‐Qun Zhan China Yi‐Qun Zhan's profile →
Citations per field
00.5×1.5×
Yi‐Qun Zhan · 1×
Citations per year

Countries citing papers authored by Chang‐Hui Ge

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Hui Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Hui Ge. 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 Chang‐Hui Ge. The network helps show where Chang‐Hui Ge may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011275
2 2019127
3 201072
4 200955
5 201449
6 200944
7 201443
8 201442
9 202136
10 201131
11 201230
12 201828
13 201428
14 201727
15 201525
16 201921
17 201920
18 201920
19 201720
20 201218

About Chang‐Hui Ge

Chang‐Hui Ge is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Physiology and Hepatology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (8 papers), Liver physiology and pathology (6 papers), Ubiquitin and proteasome pathways (4 papers), Epigenetics and DNA Methylation (4 papers), Inflammasome and immune disorders (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Pancreatic function and diabetes (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hepatology (82 citations), Molecular Biology (750 citations), Cancer Research (148 citations), Immunology (184 citations) and Biological Psychiatry (13 citations). Chang‐Hui Ge has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi‐Qun Zhan, Chang‐Yan Li, Miao Yu, Xiaoming Yang, Wang‐Xiang Xu, Rong‐Hua Yin, Liujun Tang, Jianhong Zhang, Wei Li and Hui Chen. Their work appears in journals such as Dose-Response, PLoS ONE, Cellular Signalling, The FASEB Journal and Journal of Cellular Biochemistry.

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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