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
- Bone Metabolism and Diseases
Papers in
-
- Circular RNAs in diseases 12
- Bone Metabolism and Diseases 8
-
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 14
- Co-authors
- Kangmao Huang (12 shared papers)Shuying Shen (13 shared papers)Yizheng Wu (8 shared papers)Ziang Xie (9 shared papers)Peihua Shi (7 shared papers)Junxin Chen (4 shared papers)Sheng Tong (1 shared paper)Zhifei Dai (1 shared paper)
- Journals
- Cell Death and Disease (4 papers)Acta Biomaterialia (3 papers)Oncotarget (3 papers)Molecular Therapy (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yan Ma
84 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 992
- Molecular Biology 1.8k
- Rheumatology 277
- Biomedical Engineering 710
- Biomaterials 202
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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 225 | |
| 2 | 2013 | 213 | |
| 3 | 2018 | 203 | |
| 4 | 2019 | 196 | |
| 5 | 2020 | 172 | |
| 6 | 2015 | 139 | |
| 7 | 2019 | 136 | |
| 8 | 2020 | 100 | |
| 9 | 2015 | 100 | |
| 10 | 2017 | 83 | |
| 11 | 2021 | 75 | |
| 12 | 2022 | 68 | |
| 13 | 2017 | 63 | |
| 14 | 2020 | 62 | |
| 15 | 1996 | 59 | |
| 16 | 2019 | 56 | |
| 17 | 2017 | 55 | |
| 18 | 2023 | 55 | |
| 19 | 2018 | 52 | |
| 20 | 2019 | 50 |
About Yan Ma
Yan Ma is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Oncology and Materials Chemistry, having authored 85 papers that have together received 3.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (12 papers), Advanced Nanomaterials in Catalysis (11 papers), Bone Metabolism and Diseases (8 papers), Nanoplatforms for cancer theranostics (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Bone health and treatments (5 papers). The work is most often cited by research in Cancer Research (992 citations), Molecular Biology (1.8k citations), Rheumatology (277 citations), Biomedical Engineering (710 citations) and Biomaterials (202 citations). Yan Ma has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Kangmao Huang, Shuying Shen, Yizheng Wu, Ziang Xie, Peihua Shi, Junxin Chen, Sheng Tong, Zhifei Dai, Jiying Wang and Chuang Gao. Their work appears in journals such as Cell Death and Disease, Acta Biomaterialia, Oncotarget, Molecular Therapy 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.