Kai Sun

1.6k citations
63 papers · 1.2k · h-index 20

Impact in

Papers in

    • RNA modifications and cancer 7
    • Inflammasome and immune disorders 7
    • Epigenetics and DNA Methylation 5
    • Circular RNAs in diseases 3
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 8

Kai Sun

61 papers receiving 1.2k citations

Peers

Kai Sun
Comparison fields: 5 of 112
  • Cancer Research 215
  • Molecular Biology 653
  • Nephrology 66
  • Molecular Medicine 44
  • Immunology 185
Replace Tianjiao Zhao with:
Tianjiao Zhao China
Soheila Rahgozar Iran
Jiajun Xu China
Yayun Nan China
Di Fan China
Can Chen China
Dongdong Zheng China
Pan Zhou China
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Citations per field
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Tianjiao Zhao · 1×
Citations per year

Countries citing papers authored by Kai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021189
2 2015174
3 201657
4 201543
5 201842
6 202040
7 201440
8 201835
9 201834
10 201729
11 202227
12
Expression status and prognostic value of the perilipin family of genes in breast cancer.
202126
13 201625
14 201424
15 201222
16 201722
17 201521
18 202221
19 201421
20 201119

About Kai Sun

Kai Sun is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Oncology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (9 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (7 papers), Inflammasome and immune disorders (7 papers), Epigenetics and DNA Methylation (5 papers), IL-33, ST2, and ILC Pathways (5 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (215 citations), Molecular Biology (653 citations), Nephrology (66 citations), Molecular Medicine (44 citations) and Immunology (185 citations). Kai Sun has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jianqiu Xiao, Gabriel Mbalaviele, Yousef Abu‐Amer, Tong Yang, Yael Alippe, Joseph B. Monahan, Thirumala‐Devi Kanneganti, Judy Lieberman, William W. Yu and Xiaoyu Zhang. Their work appears in journals such as World Journal of Surgical Oncology, Molecular Biology Reports, International Journal of Environmental Research and Public Health, APOPTOSIS and Clinical and Experimental Medicine.

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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