Chengcheng Liang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Urology top 10%
- Hair Growth and Disorders
Papers in
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- RNA Research and Splicing 5
- Muscle Physiology and Disorders 4
- RNA modifications and cancer 4
- Peroxisome Proliferator-Activated Receptors 3
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 3
- Co-authors
- Sayed Haidar Abbas Raza (12 shared papers)Jianfang Wang (5 shared papers)Linsen Zan (10 shared papers)Xiaoyu Wang (6 shared papers)Cunling Jia (2 shared papers)Anning Li (5 shared papers)Rajwali Khan (6 shared papers)Wucai Yang (4 shared papers)
- Journals
- Adipocyte (3 papers)Frontiers in Veterinary Science (2 papers)Gene (2 papers)Genes (2 papers)Plant Biology (1 paper)
- Partner nations
- ChinaPakistanSaudi Arabia
In The Last Decade
Chengcheng Liang
28 papers receiving 269 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 63
- Urology 25
- Genetics 61
- Animal Science and Zoology 18
- Molecular Biology 118
Countries citing papers authored by Chengcheng Liang
This map shows the geographic impact of Chengcheng Liang'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 Chengcheng Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengcheng Liang more than expected).
Fields of papers citing papers by Chengcheng Liang
This network shows the impact of papers produced by Chengcheng Liang. 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 Chengcheng Liang. The network helps show where Chengcheng Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengcheng Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2020 | 27 | |
| 3 | 2018 | 24 | |
| 4 | 2022 | 17 | |
| 5 | 2020 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2018 | 4 |
About Chengcheng Liang
Chengcheng Liang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Genetics and Biochemistry, having authored 29 papers that have together received 271 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (5 papers), Muscle Physiology and Disorders (4 papers), RNA modifications and cancer (4 papers), Lipid metabolism and biosynthesis (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), MicroRNA in disease regulation (3 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Cancer Research (63 citations), Urology (25 citations), Genetics (61 citations), Animal Science and Zoology (18 citations) and Molecular Biology (118 citations). Chengcheng Liang has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Sayed Haidar Abbas Raza, Jianfang Wang, Linsen Zan, Xiaoyu Wang, Cunling Jia, Anning Li, Rajwali Khan, Wucai Yang, Xiaorui Li and Chao Mao. Their work appears in journals such as Adipocyte, Frontiers in Veterinary Science, Gene, Genes and Plant Biology.
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.