Yangyang Song

2.8k citations
66 papers · 1.8k indexed · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA regulation and disease
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering

Papers in

Yangyang Song

66 papers receiving 1.8k citations

Peers

Yangyang Song
Comparison fields: 5 of 133
  • Cancer Research 299
  • Molecular Biology 1.1k
  • Immunology 129
  • Pharmacology 49
  • Complementary and alternative medicine 46
Replace Zhiquan Wang with:
Zhiquan Wang China
Weijian Zhang China
Xiaoyun Zhou China
Xinbo Zhang China
Xian Liu China
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Jun Hong Park South Korea
Lingjun Wang China
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Yangyang Song relative to Zhiquan Wang China Zhiquan Wang's profile →
Citations per field
00.5×1.5×2.3×
Zhiquan Wang · 1×
Citations per year

Countries citing papers authored by Yangyang Song

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20253
3 202418
4 20245
5 202411
6 20241
7 20241
8 20241
9 20245
10 202413
11 202326
12 20238
13 202323
14 202325
15 202324
16 202113
17 202010
18 201545
19 201434
20 2013186

About Yangyang Song

Yangyang Song is a scholar working on Complementary and Manual Therapy, Pollution, Complementary and alternative medicine, Reproductive Medicine and Molecular Biology, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (15 papers), RNA regulation and disease (12 papers), RNA modifications and cancer (9 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), RNA and protein synthesis mechanisms (5 papers), Network Security and Intrusion Detection (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (299 citations), Molecular Biology (1.1k citations), Immunology (129 citations), Pharmacology (49 citations) and Complementary and alternative medicine (46 citations). Yangyang Song has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Leilei Chen, Tim Hon Man Chan, Ming Liu, Daniel G. Tenen, Lihua Qi, Chi Ho Lin, Vanessa Hui En Ng, Yan Li, Xin‐Yuan Guan and Li Fu. Their work appears in journals such as Nature Communications, Electronics, Nucleic Acids Research, Gastroenterology and Cancer Research.

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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