Yanxia Ma
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Epigenetics and DNA Methylation
- Fibroblast Growth Factor Research
- Muscle Physiology and Disorders
- RNA Research and Splicing
Papers in
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- Genomics, phytochemicals, and oxidative stress 2
- Molecular Biology Techniques and Applications 2
- Oncology 4
- Cancer Cells and Metastasis 2
- Co-authors
- Abhijit Mazumdar (7 shared papers)Powel H. Brown (7 shared papers)Lakshmi Reddy Bollu (3 shared papers)Dekuang Zhao (3 shared papers)Yiquan Ke (1 shared paper)Takako Maruyama (1 shared paper)Hirotoshi Tanaka (1 shared paper)Günther Schütz (1 shared paper)
- Journals
- Cancer Research (4 papers)Nature Communications (1 paper)Neuro-Oncology (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Acta Pharmacologica Sinica (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yanxia Ma
21 papers receiving 303 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 47
- Molecular Biology 167
- Aging 3
- Physiology 39
- Biochemistry 9
Countries citing papers authored by Yanxia Ma
This map shows the geographic impact of Yanxia 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 Yanxia Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanxia Ma more than expected).
Fields of papers citing papers by Yanxia Ma
This network shows the impact of papers produced by Yanxia 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 Yanxia Ma. The network helps show where Yanxia Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanxia 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 102 | |
| 2 | 2020 | 55 | |
| 3 | 2020 | 21 | |
| 4 | 2020 | 20 | |
| 5 | 2006 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2017 | 17 | |
| 8 | 2017 | 11 | |
| 9 | Pallister-Killian syndrome: meiosis II non-disjunction may be the first step in the formation of isochromosome 12p. | 2010 | 10 |
| 10 | 2008 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 2 | |
| 16 | Expression and Significance of CXCR4 and MMP-2 in Human Ovarian Epithelial Tumors | 2009 | 1 |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2020 | 1 |
About Yanxia Ma
Yanxia Ma is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Surgery, having authored 25 papers that have together received 311 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (2 papers), Cancer Cells and Metastasis (2 papers), Molecular Biology Techniques and Applications (2 papers), Estrogen and related hormone effects (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Advanced Data and IoT Technologies (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (47 citations), Molecular Biology (167 citations), Aging (3 citations), Physiology (39 citations) and Biochemistry (9 citations). Yanxia Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Abhijit Mazumdar, Powel H. Brown, Lakshmi Reddy Bollu, Dekuang Zhao, Yiquan Ke, Takako Maruyama, Hirotoshi Tanaka, Günther Schütz, Stefan Berger and Keishi Miyata. Their work appears in journals such as Cancer Research, Nature Communications, Neuro-Oncology, Frontiers in Bioengineering and Biotechnology and Acta Pharmacologica Sinica.
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.