Liu Yang

5.2k citations
110 papers · 3.7k · h-index 32

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Extracellular vesicles in disease
    • Cancer-related gene regulation

Papers in

    • Cancer-related molecular mechanisms research 19
    • MicroRNA in disease regulation 10
    • Cancer Genomics and Diagnostics 6
    • Cancer Cells and Metastasis 9
    • Pancreatic and Hepatic Oncology Research 8
    • Cancer Immunotherapy and Biomarkers 6

Liu Yang

103 papers receiving 3.7k citations

Peers

Liu Yang
Comparison fields: 5 of 124
  • Cancer Research 1.6k
  • Molecular Biology 2.1k
  • Oncology 591
  • Immunology 323
  • Biomaterials 145
Replace Hua Shen with:
Hua Shen China
Fengming Yang China
Pin‐I Huang Taiwan
Ke Wei China
Gang Li China
Can Liu China
Zouren Yu China
Jianxin Jiang China
Nako Maishi Japan
Liu Yang relative to Hua Shen China Hua Shen's profile →
Citations per field
00.5×1.5×
Hua Shen · 1×
Citations per year

Countries citing papers authored by Liu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019312
2 2019266
3 2020210
4 2017206
5 2017202
6 2017191
7 2020172
8 2017138
9 2018135
10 201996
11 201686
12 201883
13 201481
14 202163
15 202059
16 202151
17 201948
18 202044
19 202044
20 201643

About Liu Yang

Liu Yang is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 110 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), RNA modifications and cancer (16 papers), MicroRNA in disease regulation (10 papers), Cancer Cells and Metastasis (9 papers), Pancreatic and Hepatic Oncology Research (8 papers), Circular RNAs in diseases (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (2.1k citations), Oncology (591 citations), Immunology (323 citations) and Biomaterials (145 citations). Liu Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yin‐Yuan Mo, Dongsheng Huang, Wan‐Xin Peng, Qiuran Xu, Chao Ni, Jiahong Jiang, Xiaoge Hu, Kangsheng Tu, Yufeng Wang and Wenjie Xia. Their work appears in journals such as Frontiers in Oncology, Molecular Cancer, Biochemical and Biophysical Research Communications, Cancer Letters and Clinical & Translational Oncology.

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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