Shu-Han Sun

715 citations
15 papers · 580 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

Shu-Han Sun

15 papers receiving 572 citations

Peers

Shu-Han Sun
Comparison fields: 5 of 50
  • Cancer Research 350
  • Hepatology 58
  • Molecular Biology 331
  • Parasitology 20
  • Pathology and Forensic Medicine 50
Replace Xufeng Luo with:
Xufeng Luo China
Selena Y. Lin United States
Yunxia Ge China
Alex N. Eischeid United States
Mari Yamagami Japan
Pamela S. Bogert United States
Canan Kuscu United States
Dayna M. Oschwald United States
Kazuhiro Satonaka Japan
Wanyu Deng China
Shu-Han Sun relative to Xufeng Luo China Xufeng Luo's profile →
Citations per field
00.5×3.6×
Xufeng Luo · 1×
Citations per year

Countries citing papers authored by Shu-Han Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Han Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Han Sun. 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 Shu-Han Sun. The network helps show where Shu-Han Sun may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014375
2 201579
3 200333
4 201221
5 201814
6 201211
7 201710
8 19919
9
Dexamethasone protects airway epithelial cell line NCI-H292 against lipopolysaccharide induced endoplasmic reticulum stress and apoptosis.
20118
10 20176
11 19925
12 20204
13 19943
14 20171
15
[Progress on genetic susceptibility to ankylosing spondylitis].
20051

About Shu-Han Sun

Shu-Han Sun is a scholar working on Pathology and Forensic Medicine, Surgery, Ecology, Parasitology and Infectious Diseases, having authored 15 papers that have together received 580 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Parasite Biology and Host Interactions (2 papers), Parasites and Host Interactions (1 paper), Toxoplasma gondii Research Studies (1 paper), Head and Neck Cancer Studies (1 paper), S100 Proteins and Annexins (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Cancer Research (350 citations), Hepatology (58 citations), Molecular Biology (331 citations), Parasitology (20 citations) and Pathology and Forensic Medicine (50 citations). Shu-Han Sun has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ning Yang, Chen Ye, Wen Li, LI Wen-lin, Fu Yang, Ji‐hang Yuan, Fang Wang, Ling Zhang, Weiping Zhou and Guannan Tang. Their work appears in journals such as Journal of Helminthology, Hepatology, Medicine, Digestive and Liver Disease and Frontiers in Oncology.

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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