Suan Sun

628 citations
24 papers · 426 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer

Papers in

    • Circular RNAs in diseases 3
    • RNA Interference and Gene Delivery 2
    • Epigenetics and DNA Methylation 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3

Suan Sun

21 papers receiving 418 citations

Peers

Suan Sun
Comparison fields: 5 of 58
  • Cancer Research 162
  • Molecular Biology 241
  • Oncology 63
  • Biomaterials 28
  • Genetics 42
Replace Pui Yan Ho with:
Pui Yan Ho United States
Feizhou Jiang China
Mengchi Wang United States
Lile He China
Katherine Chan Canada
Pavan Kumar Dhanyamraju United States
Jiguang Han China
Jiantao Xiao China
Siyang Dong China
Li Lv China
Suan Sun relative to Pui Yan Ho United States Pui Yan Ho's profile →
Citations per field
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Pui Yan Ho · 1×
Citations per year

Countries citing papers authored by Suan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Suan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202160
2 201653
3 201450
4 201940
5 202034
6 202225
7 202117
8
Elevated expression of RIT1 correlates with poor prognosis in endometrial cancer.
201516
9 201815
10 201815
11 202013
12 202013
13 202312
14 202411
15 20209
16 20149
17 20209
18 20158
19 20198
20 20246

About Suan Sun

Suan Sun is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 426 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Nanoparticle-Based Drug Delivery (2 papers), RNA Interference and Gene Delivery (2 papers), Prostate Cancer Treatment and Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cancer Research (162 citations), Molecular Biology (241 citations), Oncology (63 citations), Biomaterials (28 citations) and Genetics (42 citations). Suan Sun has collaborated with scholars based in China, Greece and United States. Frequent co-authors include Yi Ren, Kun Yu, Zhengwei Zhang, Linlin Zhen, Yaning Zhu, Wenjie Liu, Zhihong Zhang, Qilong Wang, Jian Zhang and Chao Luo. Their work appears in journals such as Frontiers in Genetics, ACS Applied Materials & Interfaces, Journal of Immunology Research, Diagnostic Pathology and Oncotarget.

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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