Changyan Ma
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Bone Metabolism and Diseases
- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
- RNA Research and Splicing
Papers in
-
- Bone Metabolism and Diseases 13
- RNA Research and Splicing 7
- RNA modifications and cancer 7
- Cancer-related gene regulation 4
- Circular RNAs in diseases 3
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 7
- Co-authors
- Yucui Jin (21 shared papers)Jianlei Lü (5 shared papers)Lintao Wang (3 shared papers)Kaikai Shi (4 shared papers)Jia‐Shu Yang (9 shared papers)Hongwei Li (2 shared papers)Da‐Peng Yang (2 shared papers)Ting Wang (1 shared paper)
- Journals
- Cell Biology International (2 papers)Gene (2 papers)Biotechnology Letters (2 papers)Connective Tissue Research (2 papers)Experimental Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Changyan Ma
48 papers receiving 934 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 373
- Molecular Biology 674
- Oncology 174
- Rheumatology 60
- Genetics 42
Countries citing papers authored by Changyan Ma
This map shows the geographic impact of Changyan Ma'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 Changyan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changyan Ma more than expected).
Fields of papers citing papers by Changyan Ma
This network shows the impact of papers produced by Changyan Ma. 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 Changyan Ma. The network helps show where Changyan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Changyan Ma, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2010 | 80 | |
| 3 | 2021 | 51 | |
| 4 | 2015 | 44 | |
| 5 | 2017 | 44 | |
| 6 | 2013 | 41 | |
| 7 | 2011 | 40 | |
| 8 | 2019 | 36 | |
| 9 | 2016 | 33 | |
| 10 | 2006 | 32 | |
| 11 | 2014 | 27 | |
| 12 | 2022 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 23 | |
| 17 | 2024 | 20 | |
| 18 | 2008 | 20 | |
| 19 | 2023 | 18 | |
| 20 | 2018 | 18 |
About Changyan Ma
Changyan Ma is a scholar working on Molecular Biology, Cancer Research, Oncology, Pharmacology and Rheumatology, having authored 49 papers that have together received 945 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (13 papers), Cancer-related molecular mechanisms research (11 papers), RNA Research and Splicing (7 papers), RNA modifications and cancer (7 papers), MicroRNA in disease regulation (7 papers), Cancer-related gene regulation (4 papers), Inflammatory mediators and NSAID effects (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (373 citations), Molecular Biology (674 citations), Oncology (174 citations), Rheumatology (60 citations) and Genetics (42 citations). Changyan Ma has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Yucui Jin, Jianlei Lü, Lintao Wang, Kaikai Shi, Jia‐Shu Yang, Hongwei Li, Da‐Peng Yang, Ting Wang, Tianwei Gu and Qingjiu Tang. Their work appears in journals such as Cell Biology International, Gene, Biotechnology Letters, Connective Tissue Research and Experimental Cell Research.
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.