Yan Ma
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- Circular RNAs in diseases 11
- Bone Metabolism and Diseases 8
- Cancer-related gene regulation 5
-
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 11
- Co-authors
- Kangmao Huang (12 shared papers)Shuying Shen (14 shared papers)Yizheng Wu (9 shared papers)Ziang Xie (9 shared papers)Peihua Shi (7 shared papers)Junxin Chen (5 shared papers)Chuang Gao (1 shared paper)Gang Bao (1 shared paper)
- Journals
- Cell Death and Disease (4 papers)Oncotarget (3 papers)Acta Biomaterialia (3 papers)Molecular Therapy (3 papers)ACS Nano (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Yan Ma
86 papers receiving 3.5k citations
Yan Ma's Hit Papers
Peers
Comparison fields: 5 of 130
- Cancer Research 776
- Molecular Biology 1.6k
- Rheumatology 256
- Biomedical Engineering 689
- Biomaterials 196
Countries citing papers authored by Yan Ma
This map shows the geographic impact of Yan 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 Yan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ma more than expected).
Fields of papers citing papers by Yan Ma
This network shows the impact of papers produced by Yan 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 Yan Ma. The network helps show where Yan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CircSERPINE2 protects against osteoarthritis by targeting miR-1271 and ETS-related gene Hit paper breakdown → | 2019 | 228 |
| 2 | 2013 | 215 | |
| 3 | 2018 | 204 | |
| 4 | 2019 | 195 | |
| 5 | 2020 | 175 | |
| 6 | 2019 | 143 | |
| 7 | 2015 | 142 | |
| 8 | 2020 | 104 | |
| 9 | 2015 | 101 | |
| 10 | 2017 | 84 | |
| 11 | 2021 | 79 | |
| 12 | 2022 | 72 | |
| 13 | 2017 | 63 | |
| 14 | 2020 | 63 | |
| 15 | 2023 | 60 | |
| 16 | 1996 | 59 | |
| 17 | 2019 | 57 | |
| 18 | 2017 | 56 | |
| 19 | 2018 | 55 | |
| 20 | 2019 | 51 |
About Yan Ma
Yan Ma is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Oncology and Materials Chemistry, having authored 87 papers that have together received 3.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (11 papers), Advanced Nanomaterials in Catalysis (11 papers), Bone Metabolism and Diseases (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Cancer Research (776 citations), Molecular Biology (1.6k citations), Rheumatology (256 citations), Biomedical Engineering (689 citations) and Biomaterials (196 citations). Yan Ma has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Kangmao Huang, Shuying Shen, Yizheng Wu, Ziang Xie, Peihua Shi, Junxin Chen, Chuang Gao, Gang Bao, Sheng Tong and Zhifei Dai. Their work appears in journals such as Cell Death and Disease, Oncotarget, Acta Biomaterialia, Molecular Therapy and ACS Nano.
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.