Shuling Yang

658 citations
17 papers · 225 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • DNA and Nucleic Acid Chemistry
    • Circular RNAs in diseases
    • Advanced biosensing and bioanalysis techniques
    • Plant Reproductive Biology
    • Photosynthetic Processes and Mechanisms

Papers in

    • Circular RNAs in diseases 3
    • Photosynthetic Processes and Mechanisms 3
    • Cancer-related gene regulation 2
    • RNA Research and Splicing 2
    • Genomic variations and chromosomal abnormalities 2

Shuling Yang

17 papers receiving 221 citations

Peers

Shuling Yang
Comparison fields: 5 of 56
  • Cancer Research 29
  • Molecular Biology 138
  • Pharmacology 27
  • Complementary and alternative medicine 12
  • Pharmacology 12
Replace Si Mei with:
Si Mei China
Barbara Testa Italy
Xiaokang Liu China
Maryam Hajrezaei Malaysia
Huang-Hui Chen Taiwan
Ebubekir Dirican Türkiye
Xiangli Zhao United States
Jingkui Tian China
Hong-Da Chen Taiwan
Shuling Yang relative to Si Mei China Si Mei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shuling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201850
2 201448
3 202118
4 202218
5 201318
6 201517
7 202217
8 20229
9 20226
10 20216
11 20246
12 20115
13 20243
14 20221
15 20111
16
[Analysis of three wheat cytoplasmic male sterile lines mitochondrial DNA by AFLP].
20131
17 20221

About Shuling Yang

Shuling Yang is a scholar working on Molecular Biology, Genetics, Cancer Research, Biomaterials and Biochemistry, having authored 17 papers that have together received 225 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Photosynthetic Processes and Mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Phytochemistry and Bioactive Compounds (2 papers), Lipid metabolism and biosynthesis (2 papers), Cancer-related gene regulation (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (29 citations), Molecular Biology (138 citations), Pharmacology (27 citations), Complementary and alternative medicine (12 citations) and Pharmacology (12 citations). Shuling Yang has collaborated with scholars based in China and Tunisia. Frequent co-authors include Yanbin Wu, Qi Ye, Xiaohui Wu, Lanmei Chen, Chengjian Zheng, Qiong Wu, Fenyong Sun, Jin-Zhong Wu, Zehao Huang and Wenjie Mei. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Animals, Molecular Immunology, International Immunopharmacology and European Journal of Medicinal Chemistry.

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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