Like Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Cancer-related gene regulation
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 2
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- RNA modifications and cancer 4
- Genomics and Phylogenetic Studies 1
- Enzyme Catalysis and Immobilization 1
- Cancer-related gene regulation 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Linli Tian (8 shared papers)Yushan Li (7 shared papers)Bingrui Yan (5 shared papers)Yanan Sun (5 shared papers)Qiuying Li (5 shared papers)Xin Wang (4 shared papers)Jingting Wang (3 shared papers)Rui Zhao (2 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Cancer Cell International (2 papers)Journal of Cellular and Molecular Medicine (1 paper)Bioscience Reports (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- China
In The Last Decade
Like Yang
10 papers receiving 357 citations
Peers
Comparison fields: 5 of 37
- Cancer Research 205
- Molecular Biology 294
- Oncology 24
- Immunology 19
- Pulmonary and Respiratory Medicine 19
Countries citing papers authored by Like Yang
This map shows the geographic impact of Like 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 Like Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Like Yang more than expected).
Fields of papers citing papers by Like Yang
This network shows the impact of papers produced by Like 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 Like Yang. The network helps show where Like Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Like Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 181 | |
| 2 | Expression of long non-coding RNA HOXA11-AS is correlated with progression of laryngeal squamous cell carcinoma. | 2018 | 30 |
| 3 | 2022 | 25 | |
| 4 | 2023 | 23 | |
| 5 | 2020 | 22 | |
| 6 | 2018 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 14 | |
| 10 | 2012 | 3 |
About Like Yang
Like Yang is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Biomedical Engineering and Infectious Diseases, having authored 10 papers that have together received 358 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (2 papers), Mycobacterium research and diagnosis (2 papers), Genomics and Phylogenetic Studies (1 paper), Enzyme Catalysis and Immobilization (1 paper), Cancer-related gene regulation (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Cancer Research (205 citations), Molecular Biology (294 citations), Oncology (24 citations), Immunology (19 citations) and Pulmonary and Respiratory Medicine (19 citations). Like Yang has collaborated with scholars based in China. Frequent co-authors include Linli Tian, Yushan Li, Bingrui Yan, Yanan Sun, Qiuying Li, Xin Wang, Jingting Wang, Rui Zhao, Peng Wang and Ming Liu. Their work appears in journals such as Frontiers in Oncology, Cancer Cell International, Journal of Cellular and Molecular Medicine, Bioscience Reports and International Journal of Biological Sciences.
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.