Guang‐Bin Sun

828 citations
30 papers · 622 · h-index 13

Impact in

Papers in

    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 5
    • Circular RNAs in diseases 6
    • RNA modifications and cancer 6

Guang‐Bin Sun

27 papers receiving 613 citations

Peers

Guang‐Bin Sun
Comparison fields: 5 of 85
  • Cancer Research 180
  • Molecular Medicine 31
  • Molecular Biology 322
  • Oncology 85
  • Cell Biology 47
Replace Shao-Gang Wang with:
Shao-Gang Wang China
Hongtao Chen China
Yukie Yoshii Japan
Kevin J Barnum United States
Jian Qin China
Matthew B. Gretzer United States
Chinmayi Prasanna Singapore
Shushu Wang China
Haiqing Chen China
Guang‐Bin Sun relative to Shao-Gang Wang China Shao-Gang Wang's profile →
Citations per field
00.5×5×10.3×
Shao-Gang Wang · 1×
Citations per year

Countries citing papers authored by Guang‐Bin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Bin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013117
2
Curcumin suppresses invasiveness and vasculogenic mimicry of squamous cell carcinoma of the larynx through the inhibition of JAK-2/STAT-3 signaling pathway.
201564
3 201362
4 201658
5 201555
6 202137
7 202231
8 202125
9 202319
10 201219
11 202417
12 202015
13 202414
14 201912
15 202311
16 202310
17 20239
18 20228
19 20246
20 20226

About Guang‐Bin Sun

Guang‐Bin Sun is a scholar working on Cancer Research, Molecular Biology, Nuclear and High Energy Physics, Hematology and Biomedical Engineering, having authored 30 papers that have together received 622 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers), Nanoplatforms for cancer theranostics (5 papers), Quantum Chromodynamics and Particle Interactions (4 papers), Particle physics theoretical and experimental studies (4 papers) and High-Energy Particle Collisions Research (3 papers). The work is most often cited by research in Cancer Research (180 citations), Molecular Medicine (31 citations), Molecular Biology (322 citations), Oncology (85 citations) and Cell Biology (47 citations). Guang‐Bin Sun has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Guodong Ye, Yunjia Liu, Boan Li, Wang-Yu Cai, Pingyu Wang, Qingfeng Liu, Jiafa Wu, Shuyang Xie, Zhiming Zhang and Youjie Li. Their work appears in journals such as Physical Review Letters, International Journal of Nanomedicine, Journal of Cell Science, Journal of Biomedical Nanotechnology and The FASEB Journal.

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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