Liang Yang
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 21
- MicroRNA in disease regulation 17
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 16
- Circular RNAs in diseases 13
- Extracellular vesicles in disease 12
- ATP Synthase and ATPases Research 8
- RNA modifications and cancer 7
- Cell Biology top 5%
- Aging top 10%
- Clinical Biochemistry top 5%
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- Autophagy in Disease and Therapy 9
- Journals
- Cell Communication and Signaling (5 papers)Cancer Letters (4 papers)Journal of Experimental & Clinical Cancer Research (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Liang Yang
76 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 1.4k
- Molecular Biology 2.2k
- Cell Biology 309
- Aging 23
- Clinical Biochemistry 85
Countries citing papers authored by Liang Yang
This map shows the geographic impact of Liang 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 Liang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Yang more than expected).
Fields of papers citing papers by Liang Yang
This network shows the impact of papers produced by Liang 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 Liang Yang. The network helps show where Liang Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang 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 | 2024 | 38 | |
| 2 | 2024 | 26 | |
| 3 | 2022 | 3 | |
| 4 | Exosomes in the hypoxic TME: from release, uptake and biofunctions to clinical applicationsbreakdown → | 2022 | 144 |
| 5 | 2022 | 10 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 6 | |
| 10 | 2018 | 14 | |
| 11 | 2017 | 174 | |
| 12 | 2016 | 132 | |
| 13 | 2016 | 15 | |
| 14 | 2015 | 37 | |
| 15 | 2014 | 47 | |
| 16 | 2014 | 47 | |
| 17 | 2013 | 22 | |
| 18 | 2013 | 5 | |
| 19 | 2013 | 3 | |
| 20 | [An analysis of the therapeutic effects and reactions in treating acute promyelocytic leukemia with intravenous arsenic trioxide or all-trans retinoic acid]. | 1999 | 3 |
About Liang Yang
Liang Yang is a scholar working on Cancer Research, Aging and Clinical Biochemistry, having authored 77 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (21 papers), MicroRNA in disease regulation (17 papers), Mitochondrial Function and Pathology (16 papers), Circular RNAs in diseases (13 papers), Extracellular vesicles in disease (12 papers), Autophagy in Disease and Therapy (9 papers), ATP Synthase and ATPases Research (8 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (2.2k citations) and Cell Biology (309 citations). Liang Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hangyu Li, Xueqiang Peng, Jingang Liu, Yingbo Ma, Shibo Wei, Qing Fan, Xiaodong Zhang, Hangyu Li, Yan Li and Xingguo Liu. Their work appears in journals such as Cell Communication and Signaling, Cancer Letters, Journal of Experimental & Clinical Cancer Research, Molecular Cancer and Scientific Reports.
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.