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
-
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 11
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- Circular RNAs in diseases 11
- Bone Metabolism and Diseases 8
- Cancer-related gene regulation 5
- 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)Chuang Gao (1 shared paper)Sheng Tong (1 shared paper)
- Journals
- Cell Death and Disease (4 papers)Oncotarget (3 papers)Acta Biomaterialia (3 papers)Molecular Therapy (3 papers)Analytical Chemistry (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Yan Ma
87 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 786
- Molecular Biology 1.7k
- Rheumatology 260
- Biomedical Engineering 703
- 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 232 | |
| 2 | 2013 | 221 | |
| 3 | 2018 | 210 | |
| 4 | 2019 | 197 | |
| 5 | 2020 | 182 | |
| 6 | 2019 | 148 | |
| 7 | 2015 | 145 | |
| 8 | 2020 | 110 | |
| 9 | 2015 | 102 | |
| 10 | 2017 | 89 | |
| 11 | 2021 | 88 | |
| 12 | 2022 | 74 | |
| 13 | 2017 | 65 | |
| 14 | 2023 | 65 | |
| 15 | 1996 | 63 | |
| 16 | 2020 | 62 | |
| 17 | 2019 | 60 | |
| 18 | 2017 | 57 | |
| 19 | 2018 | 55 | |
| 20 | 2015 | 51 |
About Yan Ma
Yan Ma is a scholar working on Cancer Research, Molecular Biology, Rheumatology, Oncology and Biomedical Engineering, having authored 88 papers that have together received 3.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Advanced Nanomaterials in Catalysis (11 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (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 (786 citations), Molecular Biology (1.7k citations), Rheumatology (260 citations), Biomedical Engineering (703 citations) and Biomaterials (202 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, Sheng Tong, Zhifei Dai and Jiying Wang. Their work appears in journals such as Cell Death and Disease, Oncotarget, Acta Biomaterialia, Molecular Therapy and Analytical Chemistry.
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.