Shuna Sun

1.0k citations
45 papers · 774 · h-index 18

Impact in

Papers in

    • Congenital heart defects research 15
    • Developmental Biology and Gene Regulation 4
    • Zebrafish Biomedical Research Applications 7

Shuna Sun

45 papers receiving 768 citations

Peers

Shuna Sun
Comparison fields: 5 of 92
  • Cell Biology 132
  • Cancer Research 116
  • Immunology 147
  • Molecular Biology 367
  • Agronomy and Crop Science 51
Replace Karine Laud with:
Karine Laud France
Yuhui Liu China
Danielle N. Gross United States
Takamasa Kanbe Japan
Noritaka Yamaguchi Japan
Xiaoli Zhang China
Stuart J. Ellem Australia
Kendrick A. Goss United States
Shuna Sun relative to Karine Laud France Karine Laud's profile →
Citations per field
00.5×11.7×
Karine Laud · 1×
Citations per year

Countries citing papers authored by Shuna Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shuna Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201967
2 199667
3 202162
4
Activation of NF-kappa B/Rel by Tax involves degradation of I kappa B alpha and is blocked by a proteasome inhibitor.
199547
5 201345
6 200945
7 201642
8 202135
9 202030
10 201228
11 201925
12 200925
13 201925
14 201322
15 201322
16 202219
17 202017
18 201617
19 201117
20 202013

About Shuna Sun

Shuna Sun is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 45 papers that have together received 774 indexed citations. Recurring topics across this work include Congenital heart defects research (15 papers), Zebrafish Biomedical Research Applications (7 papers), Congenital Heart Disease Studies (6 papers), Coronary Artery Anomalies (6 papers), Kawasaki Disease and Coronary Complications (4 papers), MicroRNA in disease regulation (4 papers), Developmental Biology and Gene Regulation (4 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Cell Biology (132 citations), Cancer Research (116 citations), Immunology (147 citations), Molecular Biology (367 citations) and Agronomy and Crop Science (51 citations). Shuna Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lifeng Good, Jiang Qiu, Yonghao Gui, Houyan Song, Sanjay B. Maggirwar, Edward W. Harhaj, Yangyang Xia, Jianfeng Cui, Yongxin Zou and Yuexiang Wang. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, PLoS ONE, Scientific Reports, Gene and 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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