Suan Sun

613 citations
24 papers · 403 · h-index 12

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 4
    • Epigenetics and DNA Methylation 3
    • RNA Interference and Gene Delivery 3
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3

Suan Sun

21 papers receiving 396 citations

Peers

Suan Sun
Comparison fields: 5 of 58
  • Cancer Research 197
  • Molecular Biology 268
  • Oncology 75
  • Biomaterials 29
  • Immunology 34
Replace Siyang Dong with:
Siyang Dong China
Feizhou Jiang China
Lile He China
Chih‐Yung Yang Taiwan
Erol Eyüpoğlu Türkiye
Sandy Chevrier France
Samaneh Adelian Iran
Wanyi Lin China
Annabelle Chow Canada
Suan Sun relative to Siyang Dong China Siyang Dong's profile →
Citations per field
00.5×
Siyang Dong · 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 202155
2 201652
3 201450
4 201939
5 202031
6 202223
7 202117
8 201815
9
Elevated expression of RIT1 correlates with poor prognosis in endometrial cancer.
201515
10 201814
11 202013
12 202013
13 20209
14 20209
15 20249
16 20238
17 20148
18 20158
19 20197
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 403 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Nanoparticle-Based Drug Delivery (3 papers), RNA Interference and Gene Delivery (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Cancer Research (197 citations), Molecular Biology (268 citations), Oncology (75 citations), Biomaterials (29 citations) and Immunology (34 citations). Suan Sun has collaborated with scholars based in China, Macao and Cyprus. Frequent co-authors include Linlin Zhen, Kun Yu, Zhengwei Zhang, Yi Ren, Jian Zhang, Shui Wang, Jian Wu, Jian Huang, Li Zhang and Xuedong Han. Their work appears in journals such as Journal of Immunology Research, ACS Applied Materials & Interfaces, Frontiers in Genetics, Cell Death and Disease and The American Journal of Surgical Pathology.

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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